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Recently SAP has released latest version of SAP IBP (2005). With every release SAP is enhancing supply planning engine capabilities within SAP IBP. For example, in this release SAP introduced deployment optimizer in order-based planning which was one of key functionality missing so far. In this blog post, I have tried to cover supply planning engine comparisons.

Need for Planning Engine Comparison -

Most of the time customer asks for comparative analysis with respect to their requirement and Supply planning engine capability to manage them.

After initial requirement gathering and business blueprint workshops, we need to recommend right planning engine considering their functionality and fit/gap with respect to customer’s requirements.

Based on the requirement categorization and fit gap analysis, right supply planning engine is recommended to start the detailed design.

In this blog, I have considered key design inputs and functionality areas to compare different planning algorithm which IBP Response and Supply module offers.

IBP Response and Supply offers 2 main type of planning approaches. Each one of them have different algorithms.

  1. Time series Based Planning (Comes in SAPIBP1 planning area and mainly used for Tactical Supply Planning)

    1. Heuristic – This algorithm creates an infinite supply plan without shortages, whereas it does not consider capacity and material constraints. Here all demands are fulfilled regardless of available supply.

    2. Optimizer – This algorithm creates a finite cost-optimized supply plan considering capacities and material constraints.

    3. Finite Heuristic – This algorithm creates a priority-based finite supply plan in which demands are fulfilled depending on available supply

  2. Order Based Planning (Comes in SAP7 Planning area and mainly used for Operational Supply Planning)

    1. Rule Based Heuristic – This algorithm considers demand in a prioritized sequence and try to meet them; it also considers safety stock as secondary demand. This considers capacity and material availability constraints (This can be used for Constrained forecast run, Confirmation run and deployment run)

    2. Optimizer – This algorithm provides cost optimized Supply plan; it also considers safety stock as secondary demand. This considers capacity and material availability constraints. (This engine can be used for Constrained forecast run and / or deployment optimizer)

Comparative Analysis -

Note –

  1. This comparison does not mention to what extent functionality available in the IBP can met exact customer requirement (Example Fair share distribution available in IBP Time Series Optimizer, but it may or may not meet the detailed requirement)

  2. Some of the requirement can be met with some workaround so it has been considered as fit (Example by using the appropriate Capacity start and Capacity end we can model transportation resource as handling resource)

  3. I have tried to cover only the important functional parameter but there could be few more which may me relevant for specific projects.

Additionally If you are also looking for deployment planning engine Comparison then you can refer below


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