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Building Cognitive Supply Chains with Bristlecone

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  1. How to Reduce the Bullwhip Effect by Following a Demand-Driven Supply Chain Strategy

    Learn how to integrate consumer demand signals to achieve a demand-driven supply chain that is used to optimize short-term forecasts and increase demand network visibility. From a demand planning perspective, planners can now compare the traditional consensus demand forecasts with a point-of-sale (POS) statistical forecast and therefore apply corrections based on true consumer demand. From...…

  2. How to Manage a Distribution Plan in a Supply Chain Model in SAP APO When Supply Exceeds Demand

    Learn the process flow and understand the various strategies you can use to carry out deployment of supply elements (receipts) in SAP Advanced Planning and Optimization (SAP APO) when the total supply is greater than the available demand. Key Concept Deployment basically determines which distribution requirements can be met by the supply (receipt elements). Deployment...…

  3. Implement Minimum Production Lot Sizes within CTM Planning While Maximizing Capacity Usage and Demand Fulfillment

    The Capable-to-Match (CTM) engine in SAP Advanced Planning and Optimization executes planning per individual demand. When using minimum lot sizes, CTM applies the minimum lot size consideration individually to each demand within a time bucket. This can lead to underutilized capacity in the factory and unfulfilled customer demands. Learn about an approach you can use...…

  5. From Demand Planning to Demand Signal Management: Pros and Cons of Five Demand Management Solutions

    This article compares demand management options in five SAP solutions and discusses Demand Signal Management (DSiM), a new, SAP HANA-based solution, including a case study of a company that adopted the technology. Key Concept Demand Signal Management (DSiM) is an SAP HANA-based solution that helps in sensing demand from a variety of data sources, such as...…

  6. Safety Stock: Which Method Is Right for You?

    Learn about various methods of safety stock supported by standard SAP Advanced Planning & Optimization (SAP APO), including a new method that provides a more cost-effective way of managing safety stocks in a supply chain. Key Concept Supply chains are exposed to multiple uncertain influencing factors, such as demand upsurges or production disruptions. Safety stock...…

  7. How to Setup Demand Planning in SAP Advanced Planning and Optimization

    SAP Advanced Planning and Optimization, demand planning allows a business to perform forecasting of their materials while considering all the factors that affect the demand. Demand planning is periodic and contains multi-step processes such as data gathering, statistical analysis, reviewing market intelligence reports, and performing adjustments against budgeted forecast to drive material requirements planning. SAP…

  8. Multilevel Supply Demand Matching with SAP APO-CTM Engine

    In this excerpt from Balaji Gaddam’s SAP PRESS book, Capable to Match (CTM) with SAP APO, gain insight into the CTM engine algorithm and understand the constraint-based programming techniques that the CTM engine uses to arrive at a feasible plan for a given demand. Key Concept Supply network planning using SAP SCM offers several planning...…

  10. SAP Service Parts Planning Fine-Tunes After-Sales Business

    See a summary of how the planning process works in Service Parts Planning from a functional viewpoint. Get a functional description of the standard planning process steps and the corresponding planning services offered by Service Parts Planning. Key Concept Service Parts Planning was introduced as a component of service parts management with SAP SCM 5.0...…

  11. How DRP Stability Rules Reduce Supplier Schedule Variability

    Reducing supplier schedule variability is critical to reducing total supply chain costs for the aftermarket service parts industry. Learn how distribution requirements planning (DRP) stability rules in SAP Service Parts Planning (SPP) can reduce schedule variability and optimize planning from order to delivery. Learn how to configure DRP stability rules. Key Concept Supply chain schedule...…

  12. How to Optimize SAP APO Capable to Match for Process Industries

    Learn how to meet key design challenges in the process industry for supply planning and how to overcome these challenges when the preferred engine for implementation is SAP Advanced Planning and Optimization (SAP APO) Capable to Match (CTM). Key Concept Generating a supply plan considering material and production capacity constraints is crucial to effective supply...…

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