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Should you be Demanding IBP?

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In the world of ‘Internet of Things’ and Digital Transformation, where companies want to respond faster to customer needs, we have all read about SAP’s vision to enable businesses to transform from what were previously Supply Chains into Demand Networks.

 

But where does Integrated Business Planning (IBP) Demand fit in to this? And as a Planner, should you be Demanding IBP?

 

In order to remove some of the uncertainty and puzzlement as to what exactly IBP Demand can offer, in this post I intend to explain some key differences between SAP APO and IBP Demand.

 

For the Demand Planning community, it is fair to say to that there have been no major developments in SAP APO since SCM 5.0 was released.  The statistical algorithms/functionality have remained largely the same (have you ever used Re-Initialization!), and the user interface experience in both planning and alert management has fallen behind the expected standards in the 21st Century.  Yet, Demand Planners are expected to forecast more Product/Location combinations with normally only a token understanding of what statistics is all about.

 

Released as part of IBP v5.0, the IBP Demand module is SAP’s next generation forecasting application. Since SAP Integrated Business Planning was developed natively on the SAP HANA platform, its performance outpaces that of systems that have merely been modified to use in-memory technology.

 

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New to IBP in v5.0, the web client is now based on the SAP Fiori launchpad.  Giving a seamless, responsive and cross device user experience, Fiori now gives the Planner a very clear home page/task orientated navigation option. Refer to the Demand Sensing section below for a screenshot of the Fiori look and feel.

 

But what is IBP Demand?

 

IBP Demand = Traditional DP + Demand Sensing + Predictive Analytics

 

In contrast to SAP APO, IBP Demand comes with new predictive procedures — ARIMA models (Autoregressive integrated moving average), for instance — and special pattern-recognition mechanisms that can look ahead and render forecasts on product sales for specific time periods.  For further information on ARIMA, please refer to the Wiki link.

 

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Statistical Forecasting 

 

As of IBP v5.0, one could say there is minimal improvement in the range of univariate statistical forecasting algorithms available used to derive the medium term forecast compared to APO.  Pre-Processing algorithms are now included to substitute missing values, and the inclusion of interquartile range and variance tests as part of Outlier Correction are standard.  The major technological advancement compared to APO is the inclusion of a Demand Sensing algorithm for the short-term.

 

Demand Sensing

 

Within SAP IBP Demand, Demand Sensing is available. Running at Product/Location/Customer level only, Demand Sensing is a short-term forecasting process based on demand signals such as open sales orders, EPoS, weather etc.

 

You can set up regular demand sensing in the SAP IBP Excel add-in for Microsoft Excel. The outcome of the process is the sensed demand, which can be compared with the mid- or long-term consensus demand. If significant deviations are found, you can see and resolve them in the “Manage Demand Sensing Issues” app.

 

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Initial results from a Proof of Concept that compared the forecast accuracy using “Traditional DP” forecasting methods with the inclusion of short-term Demand Sensing within IBP Demand, showed compelling improvements in forecast accuracy.

 

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Planning with Microsoft Excel

 

The SAP Integrated Business Planning add-in for Microsoft Excel allows you to review and modify your planning data and run simulations.

 

Depending on the IBP applications that your company has licensed and configured, it also provides advanced planning functions, such as inventory optimization, and statistical forecasting methods for creating accurate forecast data from historical sales figures.

 

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The Future?

 

IBP v6.0 is planned to be released in late Q4 2015, or very early Q1 2016.  With this release we expect to see further developments in IBP Demand around;

 

  • - Forecast optimization & automation
  • - External collaboration
  • - Advanced attached rate based forecasting
  • - Promotion integration
  • - Enhanced disaggregation methods

 

Should you be Demanding IBP?

 

The two main questions to be answered are, “Why would I implement IBP Demand?”, and, “Does it replace APO”?  Although APO continues to remain an important part of SAP’s SCM portfolio, and will be in mainstream maintenance until at least 2025, ultimately, IBP Demand will become the preferred SAP Demand Planning application.

 

IBP Demand is not simply a copy/paste of SAP APO on to a new technology platform.  SAP have taken learnings from the APO past, and in the drive towards real-time information, better analytics and simplification, not all of the previous APO attributes have been, or more importantly, will be duplicated.

 

For those customers currently thinking of upgrading/merging existing APO landscapes to SCM 7.0, then the advice here would definitely be to pause and to look at the benefits going straight to IBP Demand would give. To give SAP credit for IBP Demand and HANA technology, the technology does not feel like the early bleeding edge days of APO 3.0/3.1, with thousands of customers having already implemented SAP HANA solutions.

 

For those customers already on SCM 7.0, IBP Demand should still be on your Planning Strategy Roadmap in assessing the value add that Demand Sensing functionality within IBP can bring. An initial stride in to IBP could be to leverage existing APO systems and processes to provide a feed in to IBP Demand, whose output would then provide SNP (or other 3rd Party systems) a Demand Sensed forecast.  The ultimate goal would be to then fully migrate the APO DP solution on to IBP Demand.

 

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Developing a better understanding

 

Whether it be assisting with the creation of your IBP Roadmap, giving IBP awareness training to your key business users, or hosting a Proof of Concept on our internal IBP system, our team at Olivehorse can assist you on every step of your IBP journey, and I hope this has been a useful read.

 

 

Ian Brister– Demand Practice Lead

ian.brister@olivehorse.com

+44 (0) 7415 353356


Intergrated Business Planning for the Consumer Products Industry

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Integrated Business Planning for the Consumer Products Industry


The Current Market Reality

 

The consumer products is being driven by four critical forces. Consumer products companies need to drive real-time insights, operational excellence, and sustainable product and process information to secure profitable growth.


CP1.png

 

 

Consumer Products Industry Challenges

 

Global demographic shifts, competition for scarce resources, instability, volatility, uncertainty, and enabling technology adoption conspire to disrupt the consumer product industry landscape. Leading consumer product firms must rise to meet these challenges and streamline their operations while continuing to innovate.

 

Sustainable Product Innovation:

Insufficient innovation pipeline and excessive product development lead times

 

Procurement:

Poor supplier collaboration, non-compliance risk, and limited visibility to commodity and input pricing variability

 

Agile Manufacturing:

Insufficient availability of finished goods produced in time to meet demand

 

Real-time Supply Chain:

Limited demand and sub-par forecasting slows supply response

 

Sales and Marketing:

Poorly timed and inconsistent campaigns and promotions limit sales and diminish consumer perception



CP 3.png

 

 

Critical Success Factors for Effective Integrated Business Planning and Execution

 

Consumer Product Enterprises need to be agile and better aligned to meet the challenges of today and the future


3 a.png


 


Technology Constraints of the Past Inhibit the Ability to Deliver Required Capabilities

 

The vast majority of solutions are still based on the solution architecture of the past. These traditional constraints require fragmented and batch planning processes that are then disconnected from execution. These inhibit companies from transforming to meet today's requirements.


CP 2.png

 

 


New SAP Technology: Enabler of Next Generation Applications and Capabilities

 

Next generation SAP Solutions built on new SAP Technology enable the required capabilities to support integrated planning and execution and transform the company to meet the challenges of today and the future. This is accomplished with:

  • SAP HANA Platform- Foundation for Run Simple, enabling a unified data model, high performance, and real-time analytics on transactional systems with predictive analytics
  • An enhanced user interface with SAP Fiori and Excel Front End
  • Consumer grade collaboration with SAP Jam

 

4a.png


Transform with SAP

 

Leading consumer products and utilising SAP technology and software to increase market opportunity, achieve profit goals and grow market share


5a.png

 


Why SAP?

 

With innovative software from SAP, high tech companies can not only efficiently manage volatile and dynamic business but also innovate faster and run simpler

 

Why do companies trust SAP?

Proven track record of innovation

For high tech companies, the ability to innovate is critical to respond rapidly to evolving trends in today's connected marketplace. SAP HANA provides the perfect innovation platform for the future

 

The best and most extensive solution portfolio committed to the future

SAP solution breadth is second to none, as is our commitment to bring industry specific innovative solutions into the market in a comprehensive and transparent manner.

 

 

"We remain focused on the success of our customers- they are heart of our ambitions. The passion of SAP employees has brought amazing momentum... our best-ever financial results... are testament to our strategic direction, our customer orientation and our world class employees."Bill McDermott, CEO, SAP



Consumer Products Industry Challenges


  • Increasing market volatility
  • Challenging consumer preferences
  • Changing Consumer demands
  • Shorter product life cycles




Key Differentiators of IBP for the Consumer Products Industry

 

  • Leverage demand sensing to keep up with rapidly changing demand
  • Handle large scale scenarios with HANA
  • Demand sensing
  • Align strategic plans with execution in a single system
  • Seasonal Scenarios
  • Assess profitability by customer, channel and product
  • Financial, Unit and rapid "What-If" Scenario Planning
  • Complex Supply Chain Analysis:
    • Finished Goods to Intermediates to Raw Materials
    • Multi-stage
    • Handles all demand and supply complexities
  • Demand Variability Analysis (Seasonal, Frequent, Intermittent)
  • Accelerate strategic plans with execution plans in a single system
  • Accelerate planning cycle time by incorporating cross functional team inputs
  • Network Visualization
  • Cross Functional Collaboration through SAP JAM
  • Inventory and Demand Driver Analysis



Additional Materials


Sapphire 2015 Customer Stories | Colgate | Replay

Sapphire 2015 Customer Stories | Florida Crystals/ ASR

Want to Keep Consumers Happy, Predict Demand/ Ship Quickly| Blog | June 2015

Webinar: Tyson Foods IBP for S&OP- Demand Planning Best Practices | Recording



Learn More


Key Contacts: David Kane; david.kane@sap.com

Getting Started: What is SAP Integrated Business Planning?

Explore Further on the Pre-sales Frequently Asked Questions?

Get More Details on SAP IBP Applications with the IBP Online Documentation



Integrated Business Planning for the High Tech Industry

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Integrated Business Planning for the High Tech Industry



High Tech Industry Trends and Challenges

 

Fast paced changes in the industry have made the environment difficult to navigate. Companies that can't sense and respond effectively find themselves on a slippery slope of lost operational efficiencies. It has become imperative for high tech companies to integrate strategy, operations planning, and execution to remain competitive in the market place today and in the future.

 

Typical changes to High Tech Companies in recent years:

High Tech 1.png



The industry continues to evolve at an increasingly fast pace

_____________________________________________________________________________________________



Critical Success Factors for Effective Integrated Business Planning and Execution


High Tech 2.png

 


Technology Constraints of the Past Inhibit the Ability to Deliver Required Capabilities

 

The vast majority of planning solutions are still based on the solution architecture of the past. These traditional computing constraints require fragmented and batch planning processes that are then disconnected from execution. They inhibit companies from transforming to meet today's requirements.

 

High Tech 3.png

 

 

New SAP Technology: Enabler of Next Generation Applications and Capabilities

 

Next-generation SAP Solutions built on new SAP Technology enable the required capabilities to support integrated planning and execution and transforms the company to meet the challenges of today and the future. This is accomplished with:

- SAP HANA Platform- Foundation for Run Simple, enabling a unified data model, high performance, and real-time analytics on transactional system with predictive analytics 

- An enhanced user interface with SAP Fiori and Excel Front End

- Consumer-grade collaboration with SAP Jam

 

 

Technology.png


Transform with SAP

 

Next generation SAP Solutions on SAP HANA have become the innovation engine and foundation for transforming enterprises to meet the challenges of today and the future.The business benefits from integrated business planning and execution are incredible with the statistics below:

 

High Tech 5.png

 

 

Why SAP?

 

With innovative software from SAP, high tech companies can not only efficiently manage volatile and dynamic business but also innovate faster and run simpler.

 

Why Do Companies Trust SAP?

 

Proven Track Record of Innovation

For high-tech companies the ability to innovate is critical to respond rapidly to evolving trends in today's marketplace. SAP HANA provides the perfect innovation platform for the future.


The Best And Most Extensive Solution Portfolio Committed to the Future

SAP Solution breadth is second to none, as is our commitment to bring industry specific, innovative solutions to the market in a comprehensive and transparent manner.

 

The High Tech Industry Runs on SAP

The High Tech Industry runs on SAP and this alignment will ensure your needs are primary, not secondary, to our market

 

"We remain focused on the success of our customers- they are at the heart of our ambitions. The passion of SAP employees has brought amazing momentum.. our best ever financial results are a testament to our strategic direction, our customer orientation and our world class employees"Bill McDermott, CEO, SAP



High Tech Industry Challenges


  • The pace of innovation is increasing exponentially
  • Supply chains are becoming increasingly complex networks
  • Global competition and margin pressure is growing
  • A need to quickly respond to changes and update action plans
  • A need to improve planning accuracy
  • Requirement to align strategy in respond to market volatility


 

Key Differentiatiors of SAP IBP for High Tech Firms


  • Align strategic plans with execution plans in a single system
  • Forecast both returns on assets and returns on invested capital- to understand the impact on weighted average cost of capital (WACC)
  • Assists with future capital investment decisions
  • Assess profitability by customer, channel and product
  • Accelerate planning cycle time incorporating cross functional team inputs
  • Financial, Unit and rapid "What-If" Scenario Analysis
  • Complex supply chain analysis:
    • Finished Goods to Intermediates to Raw Materials
    • Multi-stage
    • Handles all demand and supply complexities
  • Demand Variability Analysis (Seasonal, Frequent and Intermittent)
  • Network Visualization
  • Cross Functional Collaboration through SAP JAM
  • Seasonal Scenarios
  • Inventory and Demand Driver Analytics
  • Strong User Group Community

 

 

Additional Material

  • Part 1- Why is Integrated Business Planning (IBP) Critical for the High Tech Industry? | Blog | April 2015
  • Part 2- of the 'IBP in High Tech' Series- Business Capabilities in High Tech IBP Blog | April 2015
  • Part 3- of the 'IBP High Tech' Series- Integrating Financial Planning with Sales & Operations Planning | Blog | May 2015
  • Part 4- Technical Capabilities Required to Support IBP | Blog | May 2015
  • How Supply Chain Departments Novigate the Digital Economy - Blog

 

Learn More

 

Integrated Business Planning for the Chemical, Oil & Gas Industry

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Integrated Business Planning for the Chemicals, Oil and Gas Industry



Chemical Industry Current Market Trends


The chemical industry is being driven by four critical forces. Chemical companies need to drive real-time insight, operational excellence, and sustainable product and process innovation to secure profitable growth


1 edit.png

 

Chemical Industry Challenges

 

Global economic conditions, volatile prices for raw materials and energy and increased competition to conspire to disrupt the chemical industry landscape. Leading chemical firms must rise to meet these challenges and streamline their operations while continuing to innovate.


  • Product Innovation and Integrity:

        Fragmented product innovation processes and lack of product-centric data yields high costs and delays in delivering new products to market

 

  • Manufacturing:

      Inconsistent data models and lack of real-time insight into plant floor data leads to inefficient use of manufacturing assets and increased operational risk

 

  • Supply Chain Management:

        Missing real-time visibility into supply chain events increases supply chain costs and reduces delivery performance

 

  • Sales and Marketing:

        Poor customer segmentation and pipeline visibility as well as inconsistent pricing policies cause lost revenue and margin


2a.png



Critical Success Factors for Effective Integrated Business Planning and Execution


Chemical enterprises need to be agile and better aligned to meet the challenges of today and the future

3 a.png

 

 

 

 

New SAP Technology: Enabler of Next-Generation Applications and Capabilities


Next generation SAP solutions built on new SAP technology enable the required capabilities to support integrated planning and execution and transform the company to meet the challenges of today and the future. This is accomplished with:

  • SAP HANA Platform- Foundation for Run Simple, enabling a unified data model, high performance, and real-time analytics on transactional system with predictive analytics
  • An enhanced user interface with SAP Fiori and Excel Front End
  • Consumer Grade Collaboration with SAP JAM

4a.png

 


Transform with SAP


Next generation SAP Solutions on SAP HANA have become the innovation engine and foundation for transforming enterprises to meet the challenges of today and the future. The business benefits from integrated business planning and execution are incredible, with notable statistics shown below:


5a.png

 

Why SAP?

 

SAP helps the world run better and improves people's lives by offering solutions to the toughest business challenges... this is what we bring to chemical companies.

 

We are the market leader in enterprise software with more than 282 000 customers across 199 countries With SAP's solutions and services our customers stay ahead of trends, make better decisions faster and innovate through simplification.

 

Our chemical solution portfolio provides:

  • A comprehensive end to end solution on a modern architecture
  • Deep industry experience and customer base
  • Excellent customer reference with tangible results
  • Platforms for the 21st century, innovations to support your business model - on premise, in the cloud, or through a hybrid model

 

97 of the Top 100 Chemical Companies run SAP:

  • Gain 100 best practice business processes
  • Use our "best run chemicals" maturity model
  • Benefit from our chemical industry network
  • Get access to industry tailored consulting and value engineering services

 

Our inspiration: "We've remained focused on the success of our customers- they are at the heart of our ambitions. The passion of SAP' employees has brought amazing momentum. Our best ever financial results are a testament to our strategic direction, our customer orientation, and our world class employees." Bill McDemott, CEO, SAP


Key Differentiators of SAP IBP for the Chemical, Oil and Gas Industry


  • Ability to model and plan for Storage Capacity Scenarios
  • Financial, Unit and rapid "What If" Scenario Planning
  • Complex supply chain Analysis:
    • Finished Goods to Intermediates to Raw Materials
    • Multi-stage
    • Handles all Demand and Supply Complexities
  • Demand Variability Analytic (Seasons, Frequent, Intermittent)
  • Network Visualization
  • Cross Functional Collaboration through SAP JAM
  • Seasonal Scenarios
  • Inventory and Demand Driver Analysis
  • Strong User Group Community

 


Additional Material


  • Sapphire Integrated Business Planning and Cloud for Customer- Innovation for Chemicals | Blog |
  • Retro Integrated Business Planning | Blog | 2015
  • Key Takeaways from Sapphire 2015 | Blog
  • Customer Implementation Story - Albemarle Recording |PDF


Learn More

 


Getting Started Guide and other documents about S&OP Supply Planning

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1. Getting Started Guide

SAP note 2238074 contains several attached documents providing addtional information about Supply Planning in IBP / S&OP. One of these documents is a Getting Strated Guide explaining how to get best familiar with the supply planning heuristic and the optimizer.



2. Supply Planning operator section in Model Configuration guide (Section 10.9)

http://help.sap.com/download/ibp/ibp40_model_ref_en.pdf



3. SAP Application help

 

http://help.sap.com/saphelp_ibp40fp01/helpdata/en/64/fed35516089251e10000000a4450e5/content.htm?frameset=/en/64/fed35516089251e10000000a4450e5/frameset.htm&current_toc=/en/34/234454dafe8b24e10000000a4450e5/plain.htm&node_id=117&show_children=true#jump117



4. IBP for Supply Optimizer: the mathematics behind


http://scn.sap.com/community/scm/ibp/blog/2015/04/17/ibp-for-supply-optimizer-the-mathematics-behind





Guidelines for posting

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Dear all,

 

Thank you for following IBP space and contributing to its growth.

In order to facilitate the knowledge transfer it is important that everyone keeps this place clean and organized. To do so, please keep in mind the following rules:

 

  • Search before you post. There are many answered questions and helpful postings already in SCN. Before posting a new question, please search SCN to see if it’s already been asked / answered. That’s the fastest way to get your information.” 

 

  • Be responsive. If a SCN member has answered your question, please mark the answer as "helpful” or “correct”. Mark the discussion as “answered,” so that other members can find the answers more easily.”

 

  • Don't resurrect threads. Don't reopen a question that has already been marked with a Correct Answer.  If your problem looks the same and the posted solution does not work in your situation, then you have a different problem and you need to create a new Discussion referencing existing thread.You are allowed to “resurrect“ a thread only when the link in the answer is broken and you want the author to fix it.”

 

For a complete overview of the Rules of Engagement please check the following document: http://scn.sap.com/docs/DOC-18590

 

Happy posting!

The Community team

What is Integrated Business Planning for inventory?

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What is Integrated Business Planning for inventory?

 

Integrated Business Planning for inventory positions inventory at the best locations to absorb forecast error / demand variability, and supply uncertainty while satisfying customer service level targets. The inventory application optimizes inventory targets using a set of algorithms to meet these goals at the lowest inventory cost possible for all locations across an entire supply chain, then provides these inventory targets directly to supply planning at the lowest level of granularity, that is, item-location-time.


f1-tradeoffs.png

 

Unlike single-stage solutions or other “supposedly” multi-stage solutions that cannot handle bill of materials, in Integrated Business Planning for inventory, the end to end multi-echelon model optimizes the internal service level(s) of each upstream stage and calculates its impact on each downstream stage using stochastic mathematics. This co-operative risk sharing typically results in each stage holding the right amount of safety stock and avoids the duplicate safety buffer in single-stage solutions (each stage provides perfect service level to the next) or other "supposedly" multi-stage solutions that do not model internal service level. Many variables on the customer side impact stocking levels, including:

 

  • Simultaneous internal and external demand
  • Time-varying demand including seasonal demand
  • Errors in demand forecasting
  • Over and under forecasting demand
  • Outliers and unplanned spikes in demand
  • On-time product delivery variability to customer warehouses
  • Late changes in promotional/event plans, e.g., delayed execution, scope of planned items, modified type of promotion/event.

 

On the supply side, there are also many factors that can impact stocking levels, such as:

 

  • Lead times
  • Lot sizes
  • Late shipments
  • Frozen planning windows
  • Multiple supply sources
  • Seasonal supply sources
  • Regulatory QA production holds
  • Bill of Materials

f2-uncertainties.png

 

These types of uncertainties multiply across the end to end supply chain network because of the inter-dependencies between suppliers, plants, warehouses, and customer sites. Inventory optimization helps manage that variability and uncertainty by right-sizing the safety stock held in the supply chain. Inventory optimization at the item-location-time period level of granularity drives more effective supply planning by reducing the number and severity of changes needed in execution relative to planning.

 

How does Inventory work within Integrated Business Planning?


While ERP, APO, Integrated Business Planning for sales and operations, and Integrated Business Planning for supply handle difficult deterministic math, Integrated Business Planning for inventory considers stochastic mathematics, or the variability and uncertainty in the supply chain. The Integrated Business Planning for inventory application optimizes internal service levels and inventory targets across the supply chain at an item-location-time period level of granularity to achieve customer service levels at the best possible cost, using inventory to most efficiently absorb risk.  The Integrated Business Planning for inventory application can use the outputs from the Integrated Business Planning for demand application (forecast, forecast error, forecast bias), sets optimized inventory targets, which the Integrated Business Planning for sales and operations, and Integrated Business Planning for supply applications use. Setting optimized safety stock targets drives better supply planning. Also, the target inventory outputs in the Integrated Business Planning for inventory application allow proper compensation of uncertainty in Integrated Business Planning for sales and operations planning. In addition, the Integrated Business Planning for inventory application is linked to other applications within Integrated Business Planning to support management-level roll-up analytics to evaluate and prioritize improvement opportunities. This linking is typically done in a single planning area (single data model) and then does not require any movement of data.

 

f3-dashboard1.png

 

 

f4-dashboard2.png

 

The Integrated Business Planning for inventory application uses the same Excel-based user interface as other applications in Integrated Business planning. With the IBP-add in, you can create and run versions and scenarios and see the impact of inputs such as forecast accuracy, lead time, and supply uncertainty on inventory outputs.


f5-excel.png

 

How does Integrated Business Planning for inventory build the end to end supply chain network?


Integrated Business Planning for inventory uses the concept of a supply chain model. This supply chain model can be viewed using the Network Visualization chart in Analytics. The concept is also important to the understanding of how inventory optimization uses all inputs from all the elements of a supply chain to determine inventory recommendations for the entire supply chain. This model is built automatically by the inventory operators in real-time, using source data from the ERP and source systems – it is not manually built by any user. This supply chain model is a graphical representation of a supply chain network and the entities it contains. These entities, or nodes, represent supplier locations, customer locations, stocking and non-stocking locations. Nodes are linked by supply paths that represent the flow of inventory—either raw materials or finished goods.


f6-netviz1.png

 

f6-netviz2.png

 

In a typical supply chain model, a supplier node is where materials originate and a customer node is where finished products reach customers. In between supplier and customers, there are a number of other nodes that represent other locations where inventory resides as it flows from supplier to customer, such as manufacturing plants, warehouses, and docks. These points are either:

  • Stocking nodes – any location where inventory is carried:
    1. Internal stocking nodes – have internal demand streams, for example a warehouse supplying raw materials to a manufacturing plant
    2. Customer-facing stocking nodes – have customer-facing demand streams, for example a location that supplies a store.
    3. Hybrid nodes – have both internal and customer-facing demand streams, for example, a location that ships finished goods to customer nodes, but also ships to an internal node to create multipacks
  • Non stocking nodes – locations that do not hold any inventory, such as production plants or cross docks
  • Process points – not physical locations, but logical points along the supply chain model where processing of inventory occurs, such as creation of Bill of Materials (BOMs).

 

Once the input data is provided, Integrated Business Planning for inventory operators can be run to create the network topology and then to determine the optimal amount of safety stock to carry at stocking locations across the supply chain. A visual representation of the supply chain can be displayed using the network visualization chart within the Analytics application. A true multi-echelon end to end inventory optimization must be able to:

  1. Create the supply chain network topology
  2. Propagate forecast and forecast error through the supply chain network (forecast error propagation is not MRP!) and handle multiple sources, time-varying bill of materials, etc.
  3. Optimize the internal service levels at the upstream stages
  4. Calculate the safety stock, inventory targets for each item-location-period taking into account all types of demand, service level, supply factors including inventory level decisions at the upstream stages and its impact downstream.

 

How to get more information on Integrated Business Planning for inventory use cases and best practices?


Follow me on SCN! Follow Alexis Lozada on SCN! We plan on publishing a series of blogs on Integrated Business Planning for inventory to increase the knowledge material on Inventory Planning. I have a decade’s worth of experience in working with Supply Chain teams at many global companies in their successful adoption of inventory optimization and planning tools as well as directing the development of inventory optimization algorithms and inventory planning. Alexis has significant experience in leading the implementation of demand-driven supply chain projects in the Consumer Products industry. Here are some topics you may see in the future. Feel free to vote for your favorite topic or request one you do not see on the list.

 

  • What are the different inventory operators and their use cases and inputs
  • What are some of the key drivers of safety stock?
  • What are the details of the Integrated Business Planning for inventory data model
  • What are the best practices in calculating forecast error for safety stock?
  • What are the different forms / components of inventory?
  • What is a good process setup for inventory optimization and review?
  • How can I setup network visualization chart for my planning area?
  • What are some useful excel templates and planning views for inventory planning?
  • How can I setup target service levels based on ABC classification
  • How can I configure EOQ calculation and use in Inventory?
  • How can I configure Inventory to use Consensus Demand from Integrated Business Planning for sales and operations?
  • How can I track my current inventory investment versus the target inventory investment proposed by the Integrated Business Planning for inventory?
  • How does Integrated Business Planning for inventory compare with the SmartOps solution acquired by SAP?
  • What is a useful process to enable and audit planner over-rides?

Exploring IBP - APO practitioner's view

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After exploring IBP this quarter, I gathered my thoughts together to share lessons learnt, practical points in this blog. Being a long-time (I dare not state since when) APO practitioner has its advantage exploring SAP IBP but equating everything to APO functionalities has its own peril. But I found trying to understand IBP Model Configuration and other features equating to APO configuration helps in quicker understanding and effective remembering of the core concepts.

 

The first thing (while waiting for IBP Starter Edition order placement and other technicalities beyond my control) I did was read up as much as possible on IBP S&OP mainly in this SCN space, blogs, Partner Enablement Webinars, Model Reference Guide (although I have to admit most of the content was chaotic in absence of actual system access) and even some of the discussion forum threads. The FAQ document on SCN is pretty comprehensive along with SCM Connections and some other Youtube videos of IBP tool was really helpful as a homework.

 

But nothing compared when you actually get your hands on to IBP system - its on cloud running on HANA accessible just on an URL / IP Address (we could not connect to from ofifce and then realised needed to request access to override firewall restrictions), no SAP Gui based access but only Web and Excel. The next major hurdle was being familiar with the data model - Attributes, Master Data Types, Keyfigure (ok I know that), Time Profiles, Planning Area etc. unlearning quite a bit of APO DP data model on the way. Once you get the hang of the core IBP Data Model components the next hurdle is to understand how Excel UI works and getting your head around Planning Views which are Excel template files with embedded EPM magic. The best thing to learn about Planning Views is to read, re-read and play with the attached Excel template files in SAP Note 1790530. TIP - before using any of the Excel files as templates copy the files in separate folder. Once you have selected Edit View option after opening any one file it will get Planning Area level details embedded in it. You cannot really switch it to another Planning Area. Explore Chart Feeder worksheet and play around it to understand high level how it drives the main Excel Planning view with embedded Chart. It is time to brush up Excel functions and explore the other hidden worksheet EPMFormattingSheet. Getting a good grip around these is essential in designing good, efficient Planning Views as per client or your own design requirements.

 

This is also the time to review latest version of the Model Reference Guide (140 page long in current 4.0.2 version) in detail even though it does not make useful sense in first reading. It helps paying particular attention to Planning Model section 2 and Activating Planning Models section 12 including Troubleshooting Model Activation Errors section. The Global Configurations is another section to review, most of the basic required ones are setup as default but it makes sense to review and update DEFAULT_PLAN_AREA parameter of HOME_PAGE group, TEMPLATE_PERMISSION under PLAN_VIEW group; MOVING_AVG_MODE under FORECAST group; STAGCLEANUP under INTEGRATION; SCN_COUNT_MAX under SCENARIO. Refer to the Model Configuration Guide - Miscellaneous Settings Section (16.4) for more details including explanation on the required settings.

 

Among the initial Planning Model setup, I found Time Profile as most challenging. It took me quite some time to finally figure out the exact date / period sequence to be entered and the importance of Period ID naming. And the fact how to manage period start date/time stamp in yyyy-mm-dd hh:mm:ss format in Excel and keep it same in csv file format required to upload. Another finding was the start and end date of Time Profile setting need not match with the dates you are loading through csv file. This means if you have defined your Time Profile for 5 years horizon, it is perfectly okay to create a period data file for first 1 year, load it successfully and then proceed with creating data for next years and reload the file back. Another tip is to use Excel to create the file save it as .csv format, open in Notepad to validate the contents before trying to upload in IBP - Data Integration option. Note this is not just for Time Profile but useful for Master Data and Keyfigure data load as well.


Is there ABAP backend in SAP IBP

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For a long time I was under the impression SAP IBP was HANA only application with just 2 layers DB and light-weight Web Application Server for Presentation layer (that is part of HANA Platform in the form of XS Engine). At least this was true in S&OP on HANA available for deployment On-Premise only on HANA. SAP IBP was introduced from Version 4.0 onwards and became a cloud only deployment option. Then came IBP 5.0 that as per documentation has Netweaver ABAP layer for Transport (CTS) management. But can it be just restricted to that . Moreover S/4HANA On Premise roadmap (further 1511 Simplification List page 127) mentioned IBP components available in future as replacement of PP-SOP and Flexible Planning functionality in Enterprise Management Core. S/4HANA is essentially ABAP stack with S4CORE100 as the software component that has certain amount of code pushed down to HANA DB layer. Best example is redefined MRP (MRP Live) having business logic related computation in HANA DB pushed down from Application i.e. ABAP layer.

 

Anyway not to digress into S/4HANA, but coming back to the blog topic "Is there ABAP backend in SAP IBP". There has been some recent posts where there was mention about classical ABAP transactions to check job failures, multiple mention of ABAP as keyword in IBP FAQ document and couple of issues raised as OSS Messages required application of SAP Notes in backend by Support Team (wondered how can you fix issues in HANA only system using OSS note application) etc. So the search began to find an answer and now I am confident there is ABAP backend in SAP IBP 5 (not in IBP 4) systems. This may also be the reason for having Fiori apps available in IBP 5 and not in IBP 4 (not sure though).

SCMIBP100 software component can be found in most of recent IBP related SAP Notes pointing to support packages. Thankfully these IBP support packages are not huge having low double-digit number of correction notes (compared to 3200+ notes in S4CORE100 SP1 that is still to be released). If interested take a look at SP1 (registered in May 2015) to SP7 (latest one).

 

The next logical question is what kind of ABAP coding is there in SAP IBP system. Again I picked a random recent note 2249414 Incorrect KPI Value on Dashboard. This note has two correction instructions one for SCMIBP100 and the other for SCMIBP100UI. Opening the correction instruction for SCMIBP100 shows class /IBP/CL_AN_REPORTS_DPC_EXT Method /IBP/CL_AN_REPORTS_DPC_EXT KEYFIGUREQUERIES_GET_ENTITYSET and you see familiar ABAP code. I could not open any of the source correction objects in the SCMIBP100UI component that includes SAPUI5, CSS, JavaScript files.

Then another note 2263849 Planning Area cannot be displayed and activated having code corrections in Class /IBP/CL_SAP_SFND_SOPMU    Method SOPMU_GET_RECOMM_PLEVS_SAPSOP. If you are really interested check out the associated code correction where you get Context Block of code:

METHOD sopmu_get_recomm_plevs_sapsop BY DATABASE PROCEDURE FOR HDB LANGUAGE SQLSCRIPT

         OPTIONS SUPPRESS SYNTAX ERRORS

         USING /ibp/dmattr /ibp/dmplevatt /ibp/dmplobjatt /ibp/sdmattr /ibp/sdmplevatt /ibp/sdmplobjatt.

 

Cryptic? quick SCN search finds out this is AMDP - ABAP Managed Database Procedure that allows SQLScript coded Stored Procedures in HANA DB to be called from ABAP layer. Still curious then check out Implement and Consume AMDP.

 

HANA or not ABAP still rules!!!

 

PS: This blog may not be meaningful from IBP functionality standpoint but hopefully gives insight in guts of Cloud-based HANA DB application.

SAP Integrated Business Planning: SAP3 Model Network Visualization Chart

UPDATE: SAP Integrated Business Planning: Network Visualization for SAP3, SAP4 and SAP5 Models

SAP IBP: Working your way with decimals

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This blog discusses a use case where decimals places were to be restricted across 500+ calculations which included user input enabled and calculated key figures.

 

Implementing IBP S&OP for a customer in process industry most often entails resource consumption and bill of material calculations to be in decimals. For our customer we have built a wrapper around IBP S&OP that consists of 500+ calculations that input material constraints, resource consumption, bill of material, scrap and financial information to IBP S&OP model.

 

Scenario: By default, IBP S&OP calculates up to 6 decimals and we wanted to round all key figures to 3 decimals. Validation of calculations was getting complex with 6 decimals, I am sure you can imagine.

 

Solution: We adopted 2 strategies for rounding.

 

1. All user input enabled key figures we maintained in table SOPDM_KEYFIGURE_QUERY with KFPRECISION as 3. This helped to ensure that the system accepts only 3 decimals places at base planning level when data entered through excel UI.

 

Note: It only works if the aggregation mode is sum or average and the disaggregation mode is proportional/equal. Also, if it has a UOM or currency conversion, the number of decimal places only applies to the value in the unit/currency it was changed. In the forward calculation or aggregation, the number of decimal places in general, is not taken into account. If the base level is 3 decimal and if the request level is a simple sum, the number of decimal places is honored

automatically. But if you have intermediate calculation with other keyfigures, the number of decimal places won't be what is specified, unless in the calculation configuration you explicitly round it off.

 

 

2. Adopted ROUND() for all calculated key figures to ensure calculations to 3 decimals.

 

IBP S&OP model automatically deletes key figures from table SOPDM_KEYFIGURE_QUERY if deleted from the planning area.

 

The only vulnerable spot in this configuration are helper key figures where we have not adopted a rounding strategy, but hoping those are covered by calculated key figures.

 

Please feel free to share your use case and solution.

How to See All Records in Filter Drop-downs in Analytics Web User Interface

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In a recent customer implementation project, a question came up on why the number of Product ID records in the filter drop-down in the Analytics Web User Interface was not the complete set of records. The user could see the entire list in the excel planning view filter but not on the Analytics screen. See screenshot example below:

 

image1.png

 

 

The reason is that there is a parameter in Global Configuration (see Model Configuration Guide at SAP Integrated Business Planning 5.0 – SAP Help Portal Page) called MAX_ATTR_VALUES which limits the number of attribute values returned by the search in any drop-down in the Analytics web user interface. By default, this parameter is set to 50. This parameter can be changed to display the desired number of attribute values in the drop-down. Please see screenshots below for a step-by-step approach. A related Global Configuration parameter is called MAX_RECORDS which sets a limitation to the number of records that can be displayed in a chart in the Analytics application.

 

To change these parameters:

 

Step 1: Click on the Configuration Fiori tile

 

step 1.jpg

 

 

Step 2: Click on Manage Global Configurations step under Start Here

 

step 2.jpg

 

 

Step 3: Click on the new icon if you do not see the Parameter already listed. This will give you a pop-up window where you can select Analytics in the Parameter Group and the Parameter Name of interest and finally enter the value. If the row already exists for the parameter you can change the value in the field directly and hit save.

 

step 3.jpg

Control tower KPI's

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Hi Experts,

  Was going through KPI's for analytics defined in control tower.

KPI: Avg Inventory Cost Rate.

KPI :del item accrcy.

KPI :del loc accrcy.


Have filled in the data and it is displaying in analytics.

However could anyone please provide inputs on what additional level of detailed analytics can be displayed by these KPI's .

 

 

Regards,

Subya.

How much effort is it to implement IBP?

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Recently I get a lot of questions of how much effort it is to implement IBP

That's it, very often no more details. Or "just SOP".

 

David wrote a nice blog http://scn.sap.com/docs/DOC-64883 with lots of information of how to get started and how much effort it could take

 

I am consultant, and people usually hit me when my estimates turns out inaccurate, so it depends on requirements and if an RDS solution would be fitting

Therefore now I am writing this blog once, so next time I can reply with the link to these questions:

 

  • Which processes are you planning to use, what do you want to achieve? 
  • Which modules do you need, SOP? With or without Heuristic / Optimizer? Constrained or unconstrained? Control Tower? IO? Demand Management & Sensing? Response?
  • Which roles would you need? E.g. Demand Planner, global Manager, Supply Planner, Finance ... How many roles?
  • How many users will you have?
  • Do you need UoM conversion?
  • Do you plan to work with prices and with currencies? How?
  • Will you have key figures for which you would need to have a cross-period calculation? If yes, what for?
  • What kind of data do you need to import from other systems? How many and what type of systems? How many master data and key figure for the interface?
  • Which data do you need to export out of IBP, how many and to which systems? As flatfile or using web services to writer directly to database of the target system
  • Are you working pretty much in standard on ECC side or do you have a lot of modifications, especially in the data structure?
  • How many Alerts, Dashboards, Planning Views & Reports do you require?
  • How many key figures do you think you will need all together for the users?
  • Do you need simulations?
  • How many systems do you plan, one development and one production, more or is it only a demo standalone?
  • Will you need JAM?
  • Do you want a 300-PS-Porsche or a used Bicycle with no gearshift or just a pair of shoes to walk?

 

Have a nice day

Irmi


SAP Rapid Deployment Solution SAP HANA Integrated Business Planning rapid-deployment solution V2.61 available

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The SAP Rapid Deployment Solution SAP HANA Integrated Business Planning rapid-deployment solution V2.61 is available for download on the SAP Service Market Place.

 

With the release of SAP Integrated Business Planning 6.1 we support you with a rapid deployment solution to identify best practices and develop your skills faster.

You can access SAP HANA Integrated Business Planning rapid-deployment solution content directly via http://service.sap.com/rds-ibp.

 

To learn what are rapid-deployment solutions access SAP Best Practices & Rapid Deployment Solutions directly via http://service.sap.com/rds .

 

To learn more about the releases of SAP Integrated Business Planning 6.1 follow this link http://news.sap.com/sap-releases-latest-addition-to-fast-growing-cloud-based-supply-chain-planning-platform .

 

Please join an upcoming webinar where we will help you get started on the rapid-deployment solution. Register here.

 

There is also a nice blog post from my colleague Doreen about SAP Rapid Deployment Solutions and SAP Integrated Business Planning. SAP Integrated Business Planning – Holistic Planning in Short Order

IBP - Supply chain control tower

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Supply chain control tower (SCCT) enables supply chain professionals to navigate, analyze and profitably manage their supply chain in real time. It creates an end to end visibility of the supply chain along with a real time integration with SAP data sources. It also has the option to drill down to detailed order level information. Finally the best part is the configurable analytics, alerts and case management.

 

Benefits

  • Ø Increase on-time delivery performance to customers
  • Ø Decrease the overall inventory levels while reducing risk
  • Ø Reduce supply chain cost
  • Ø Increase supply chain agility

Differentiators

  • Unlike BI/Analytics solutions, SCCT offers alerts, analytics, task & case management capabilities.
  • Social collaboration (JAM) is embedded throughout the application. This allows a collaborative approach, allowing people to share & discuss before taking a decision
  • Unlike other control tower offerings such as Kinaxis, e2open or GT nexus, SCCT are connecting supply chain planning & execution.

Features

 

  • Ø It has a tight integration between planning & execution systems
    • It can connect with legacy SAP, APO, BI or ERP
  • Ø Smart alert & exception management system
    • Smart logic to detect alerts/ exceptions
  • Ø Case management tool to process alerts and exceptions effectively
    • Track progress of cases/ issues
    • Facilitates collaboration with other experts
  • Ø Analytics capability
    • Strategic & operational Analytics
    • Dedicated performance management – KPI based
  • Ø What-if simulation & Integrated Supply chain Monitoring
  • Ø Increase on-time delivery performance to customer
  • Ø Decrease overall inventory while reducing risks
  • Ø Increase supply chain agility and reduce supply chain costs.

 

SCCT Capability summary – Visibility & Monitoring

Dashboards & Analytics                                                              Network Visualization

SCM related KPIs                                                                       Cases/ Tasks

User defined alerts & impacts                                                     Simulation in Excel

SAP Integrated Business Planning Excel Views. A planner’s dream?

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The main user interface for SAP Integrated Business Planning is Microsoft Excel using a special Excel Add-In provided with the product. In this article I want to explore if and why this interface will satisfy the needs of planners. Let’s start by having a look at where spreadsheets originated from, and then what planners need from the tools that support them.

 

The history of the spreadsheet

 

I've been around long enough to remember a world without electronic spreadsheets – a world that instead either involved pens, paper and calculators or punched cards, a mainframe and reams of printed output. In my first career as a Mechanical and Manufacturing Systems Engineer working for Dunlop, Chloride and Lucas, I had what in retrospect was the privilege of witnessing the birth of the personal computer and the early PC spreadsheet applications such as VisiCalc, SuperCalc and Lotus 1-2-3. It is also worth pointing out that at that time in the mid 1980’s, I had a DEC micro-computer on my desk where the computer was contained inside the VDU (a screen to youngsters) and the operating system, application and data were all held in RAM. Said computer was used to control manufacturing machines in real time. So some concepts are perhaps not so new!

Visicalc.png

 

 

 

 

 

 

 

Figure 1: VisiCalc running on an Apple II (source wikipedia)

 

accounting analysis pad 2.jpg

 

 

 

Some people are under the misapprehension that spreadsheets arrived with the PC, whereas they actually originate from the world of accountancy. In printed media the word "spread" means a newspaper or magazine article that covers two facing pages, extends across the fold and therefore treats the two pages as a single large one. The compound word "spread-sheet" came to mean the layout used for accounting ledgers—having columns for expense categories across the top, invoices listed down the left margin, and the value of each payment in the cell where its row and column intersect —which were, traditionally, a "spread" across facing pages of a bound ledger ruled into rows and columns in that format. To learn more on the history of spreadsheets see https://en.wikipedia.org/wiki/Spreadsheet

 

                                                                               Figure 2: Accounting Analysis Pad with Calculator!

 


What is important for planners?

 

During my earlier career mentioned above, I also had a long spell where I was responsible for the planning of production and the larger supply chain of a high tech battery. From my own experience and having seen other planners working there are a few key things that planners need from the tools they use:

  • Speed and responsiveness– planners often have to come up with answers quickly.
  • Flexibility– they frequently have to respond to novel situations and questions that require them to combine information from many sources – ad hoc.
  • Detail – there is no point showing a planner a high level graph and expecting them to be satisfied with that. They want to be able to drill into the detail.
  • What-if– a planner’s job is usually about deciding between options – sometimes the least bad choice. To do this you need to be able to see the effects of different decisions and compare them.
  • Ease of use – they are often overworked and really don’t have the spare time to learn a complex new user interface – so it helps if it is one they know already.
  • Integrated – the planner needs to have his finger on the pulse of what is happening in the business and this information needs to be at his fingertips. So the tools need to draw data from the various execution systems on actual performance as well as forecasts and plans defined in other systems such as SAP Advanced Planning and Optimisation and SAP Business Planning and Consolidation.
  • Offline use – less of an issue nowadays compared to the days of unreliable modem connections but still important in some geographies or while commuting.
  • Sharing results – unfortunately their bosses and peers don’t always take their word for things and they need to be able to share the evidence in a format that others can easily consume.

 

IBP Process.png

Figure 3: The Integrated Business Planning Cycle (c) Olivehorse 2016

 

I should also clarify the term ‘planners’ when used in the context of IBP. Unlike APO which is a purely Supply Chain solution SAP IBP is not. One of the core aims of Integrated Business Planning – as the process defined by the Oliver Wight organisation – is that it is a single, consistent, plan for the whole organisation. For those familiar with the process you will know that the steps described in the figure above involve input from Marketing, Sales, Demand Planning, Supply and Logistics, Finance and Executives. All these roles in the organisation all need to use the tool that supports the process.

 

A Quick Look at the Excel Add-In

Some of you may not have seen the IBP Excel Add-In, so I have included some scree-shots to give you a flavour. The first shown in Figure 4 is of the Excel menu ribbon that appears once you have installed the Add-In, along with some labels to give you an idea of what each section does:

IBP Excel menu ribbon.png

Figure 4: Menu ribbon for the SAP IBP Excel Add-In

 

What the user sees is dependent on their authorisations so you can limit their actions to suit their role.

 

Figure 5 shows an example of IBP via the Excel Add-In, and is intended to allow sales planners to update the sales forecast. In this view, although the base level of the data is customer and product, it is being displayed at a higher level of product colour as well as using Distribution Channel to group the customers. In this view there are both display only and editable key figures, for example Statistical Forecast Qty (IBP) and Sales Fcst Qty Adj – Value respectively. Some of the key figures such as Sales Forecast Qty – Last Month are stored persistently in HANA while several others including the Sales Forecast Qty and Sales Revenue are calculated on the fly in IBP from the base level of all the key figures required in its calculation if required. This is done every time the user saves or chooses <Simulate>.


IBP Example View.png

Figure 5: Example IBP View

 

I deliberately hid part of the view for the previous figure in order to simplify it. This view also includes a chart which is simply an Excel Chart driven from the IBP data below via a hidden sheet. You can use the controls on the left to slice and dice the data and choose which key figures to display. As it’s an Excel object you can change the format as for any normal Excel Chart.

 

IBP Example Chart in an Excel View.png

Figure 6: Chart incorporated in the View

 

So how does the IBP Excel Add-In match up to these requirements I presented earlier? Let’s consider them one at a time:


Speed & responsiveness


In IBP most of the work in extracting and calculating the data the user wants to see is of course performed in SAP HANA. If you don’t already understand why HANA is so fast for these kind of calculations, you must have been hiding under a rock for the last few years. I strongly recommend reading Hasso Plattner’s original papers and taking some of the openSAP MOOC courses on the subject.

Coupled with this our laptops/desktops are now very powerful multi-core machines in their own right – running a very mature product in Excel with a lot of investment over the decades to optimise performance.

Of course there are always things that can negatively impact performance and although spelt out in detail in Note 2153455 they can be summarised as follows:

Don’t be greedy: Be sensible about the number of cells (rows x columns) returned and/or updated. The more cells the more data transferred across the network and the more work for Excel. As a guide SAP indicate you should keep below around 2000 rows x 24 columns. If your aim is to extract the data for reporting somewhere else HANA Cloud Integration (HCI) is much more suited to that.

Control the Work Excel has to do: Conditional formatting and local calculations are all possible but Excel will need to run them every refresh. If not sure do some tests.

I took some timings for a productive system and for a view with 80 key figures x 24 months the data refreshed in 5 seconds – not bad if you remember this data is a result of aggregating and calculating values for the 10000’s of combinations at base level.

 

Flexibility


We all know that Excel is itself a flexible tool and IBP does impose some restrictions. However here are some cool things you can do with the Add-In:

  • Display any of the key figures in the planning area (excepting helpers which are used to hold as intermediate values). I have seen views with nearly a hundred key figures. Users can easily add or remove key figures themselves.
  • Add extra rows or columns within the view containing Excel formulae – the Add-In automatically propagates the formulae to all similar cells. See Figure 7 for an example where it is used to calculate the difference between two key figures. It can be used to calculate row or column totals as well.

Local Member.png

Figure 7: Example of a Local Member calculation

 

  • Have multiple views in the same workbook – as long as they connect to the same planning area!
  • Use conditional formatting to emphasise trends, anomalies with colour and icons and apply special formats to any characteristics or key figures – for example fonts, number formats, borders. The format therefore adjusts with the data returned. Figure 8 below has several examples of this in use including borders, number formatting to percentage, bold font and conditional formatting.

Conditional formatting.png

Figure 8: Conditional Formatting in a View

 

  • Drive Excel charts based on the data returned – SAP provide an example template for this.
  • Drive Pivot charts from the data – just don’t go mad with the number of cells!
  • View and edit master data – change attribute values, add new key records, delete obsolete ones and mass create or delete planning combinations.
  • Use macros to change the data in the view. There is an example in the view shown earlier (see Figure 9 for detail) which I coded to increase or decrease data in the currently selected cells. SAP do warn that not all macros will work with the IBP Add-In so it is a question of trying in a PoC first.

 

Macro controls.png

Figure 9: Controls used to change data in a view

 

Detail

A view can show the data by one or more of the attributes(similar to characteristics for those familiar with APO/BW) in the planning level for the key figure. Data held at different levels can also be displayed in the same view. Users can easily change the attributes themselves on the fly. I was doing that with a customer this afternoon where we started at country level and ended right down in profit centres and product groups.

What is also sometimes done is, as you can have multiple views in one workbook, to have one view at an aggregated level and another at a more detailed level – but having fewer key figures.

 

What-if

To me it is the ability to do simulations on the fly in a practical time-scale that differentiate IBP from APO and other products. Here are key things to know regarding what-ifs in IBP:

  • If you have made any changes to key figures in the view you can click on ‘Simulate’ and the system will calculate all dependent key-figures – from base planning level up if required. The neat thing is that the results aren't persisted in HANA unless you save them so if you don’t like or need them you simply refresh the data.
  • The same applies to the Supply planning heuristics and optimiser. You can change some values such as capacity and simulate the results for the whole supply chain (within limits of course!) and immediately see the impact.
  • If you have multiple views in one workbook the simulation ‘session’ results apply to all the views. So you can change some data in one view, simulate, and check the effects in another as well.
  • There two types of more persistent what-if’s that allow you to compare before and after:
    • One is called scenarios which are brilliant when you want to compare a limited number of changes between two plans – say a significant change to production capacity somewhere. You can run the planning for both and show both side by side in an excel view. An example of this is shown in Figure 9 where the revenue and profit for the baseline plan and a what-if scenario are being compared.
    • The second type are Versions where you copy most of the key figures and can have version dependent master data. Useful for much larger scale what-ifs with many changes. Again the data from multiple versions can be displayed in the same view.
scenario.png
Figure 10: Comparing financials between what-if scenario and base plan

Ease of Use


The great thing about using Excel as the basis is that it must be one of the most widely known software products in the world – especially amongst the finance and supply planning communities. It is fairly intuitive and users can be up and using Excel with the Add-In in hours – with virtually no training.

 

Integrated


The data for IBP, by definition, comes from multiple other systems whether it is ECC, APO, BPC or non-SAP systems. Interfacing via SAP HANA Cloud Integration (HCI) is straightforward compared to BW. The good thing about IBP is that as soon as HCI has loaded the data it can be seen in the Excel view when you open or refresh the view – there are no other jobs required to load to ODS or Info Cubes or to index or aggregate the data.

Of course it works the other way as well. Comma Separated Variable (.csv) format is quite common as portable file exchange format and you can save the views as .csv for loading into another tool.

 

Offline Use


With IBP you can open a View – it will refresh the data and you can then log off and continue to edit the values while sitting on a train for example. When you are next on-line, just login and save the data!

 

Sharing Results


It is very easy to share Excel workbooks by email; as my inbox will testify! However, the problem is that once shared they tend to be modified by the recipient who then shares it on and you end up with N! versions. The beauty of IBP is that you can share Excel workbooks containing views with other users. The key figure data is persisted in HANA of course but there can be data local to the workbook as well.

 

Conclusions


I have been using the IBP Excel Add-In almost every day for the last 6 months, both in productive environments at customers and for producing our own demos and proof of concepts. As I hope I have shown above it has many features that will please planners from all areas of a business and is a huge improvement over both the planning books in APO and BEx queries.

 

Steve Rampton, IBP Practice Lead

Calculation of historical forecast error for inventory optimization

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In the recent SAP Integrated Business Planning 6.1 release, the inventory application has added a new and exciting innovation to provide a systematic approach for the calculation of forecast error. Forecast error is one of the key inputs into safety stock planning. We have introduced a new forecast error calculation operator.


Benefits:

  • Enhancements to calculate and report the historical forecast error, which is input for inventory optimization in the calculation of safety stock
  • Provision of a systematic way to calculate historical forecast error for all combinations of product, location, and customer groups with weekly granularity
  • Features including special handling for intermittent items, forecast bias compensation, and outlier detection


Link to innovation: https://goo.gl/XMmUkk

Make sure that you expand the Product Features section and download the presentation titled "FORECAST ERROR" for fundamentals, details and screenshots.


The inventory applications sample planning area SAP3 has been updated to include the additional key figures and master data. If you have an existing planning area that is not copied from the SAP3 planning area in Release 6.1, please follow the steps in the above presentation.

IBP-Inventory and EOQ

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Hi All,

 

While evaluating the fit and benefits for an IBP-Inventory (IBP-I) implementation at customers I am often asked about Economic Order Quantity (EOQ) and whether IBP-I can support it. In general the obvious answer is YES, IBP-I can certainly calculate an EOQ and consider it while generating invenory targets. But the real life implications of using both are a bit more complicated. The purpose of this blog is to explore this concept further and hopefully open a discussion on the nuances of using EOQ within IBP-I.

 

APICS defines EOQ as "a type of fixed order quantity model that determines the amount of an item to be purchased or manufactured at one time." The basic premise is to balance costs on a a production or ordering schedule where small frequent batches incur a fixed order or changeover cost and large batches have excess inventory carry costs. Borrowing from APICS again we see the basic EOQ formula to be:

EOQ.JPG

where:

Q* = Economic Order Quantity

D = Annual Demand

K = Ordering Cost (Or changeover / setup costs)

h = inventory holding cost per unit

 

This formula is great due to its simplicity and ease of use. It does however make some simplifying assumptions about a known static demand that make it less than optimal for real world situations. There are methods for expanding upon this basic EOQ formula to account for these assumptions but that is not in scope of this discussion.

 

We can easily configure this formula in a calculated key figure in the standard IBP configuration capabilities. The discussion on the right sources for ordering costs and holding rate will vary by industry and company, but that should be part of any standard initial blueprinting project. ***Side comment here: In my experiences it is critical to ensure that the business side of the company is involved and makes the final decisions for inputs. IT can support this process, but getting the planners to adopt the final outputs require buy-in on the input side.

 

Once we have an EOQ calculated, the question is what impact will it have on IBP-I? The goal of IBP-I in an end to end multi-stage optimization is to minimize the inventory cost across the entire supply chain. Won't this immediately override all the work that the EOQ has done in the balancing act? The answer is no. EOQ is considering inventory at a single location with a single cost. However, we know that in the real world the cost of inventory increases as it flows through the supply chain. This is due to reasons such as value add, transportation costs and less flexibility in demand it can fulfill (i.e. opposite of postponement). Therefore, IBP-I has a much more comprehensive view of the inventory challenge. Things like differing costs, supply uncertainy and forecast error are just a couple of the examples of complexity that IBP-I was designed to handle.

 

Does that mean an EOQ is worthless within IBP-I? The answer again is no. IBP-I certainly needs to take into account the manufacturing or ordering costs as it does the inventory cost minimization. To account for this, I've recommended to customers that EOQ should be input to IBP-I as a minimum lot size. IBP-I will then take these minimum orders as a constraint and make sure to recommend an inventory target that takes the ordering / setup into consideration.

 

To summarize, EOQ and IBP-I certainly have some overlapping capabilities and functionalitites but that doesn't mean one is right and the other is wrong. It is definitely possible to use both concepts in IBP-I and get value from each of them.

 

What are your thoughts on using EOQ in IBP-I and/or inventory planning in general? Is there enough room in the inventory planning process for competing algorithms?

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