SAP APO
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Supply Chain Management: SAP APO
We are encountering endless advancements in technology and increasing levels of globalization. Businesses are now competing in an unpredictable world. Consumer shopping habits are changing, making sales and operational planning both highly important and challenging. It is important to keep modernizing to get ahead of your competition.
What is SAP APO?
SAP APO stands for Advanced Planner and Optimizer. It is a component complementing the SAP ERP Central Component (ECC) logistics and supply chain processes, like procurement, production, and sales. SAP APO is designed to improve the availability of products, putting customers at the center of the process.
SAP APO has four key capabilities:
- Demand Planning (DP). Analyze sales, consumer trends, historical patterns, and seasonality data to optimize your ability to meet your consumer demand most efficiently.
- Supply Network Planning (SNP). Focused on reducing inventory, safety stock management, and having a realistic supply plan. It supports hierarchical data structures with capabilities to consolidate data into families, versus combing extensive data for individual SKU’s, plants, or warehouses.
- Production Planning and Detail Scheduling (PPDS). Used for creating procurement proposals for in-house production or external procurement to cover product requirements. PPDS covers demand, excess inventory, resource planning, production monitoring, and modifications to the plan.
- Global Available to Promise (GATP). A module that searches to determine if product is available at specific times, and for quantities that satisfy the customer demand. The module works to optimize your customer demand fill rates.
Benefits of an SAP APO implementation are:
- Improvement in profit margins
- Reduced purchasing costs
- Reduced production and logistics costs
- Improved inventory management
- Improved management.
Technical resource partners for consideration might be – SAP, Gib, or Reveal.
Key considerations for SAPinsiders are:
Supply Chain Management: SAP APO
We are encountering endless advancements in technology and increasing levels of globalization. Businesses are now competing in an unpredictable world. Consumer shopping habits are changing, making sales and operational planning both highly important and challenging. It is important to keep modernizing to get ahead of your competition.
What is SAP APO?
SAP APO stands for Advanced Planner and Optimizer. It is a component complementing the SAP ERP Central Component (ECC) logistics and supply chain processes, like procurement, production, and sales. SAP APO is designed to improve the availability of products, putting customers at the center of the process.
SAP APO has four key capabilities:
- Demand Planning (DP). Analyze sales, consumer trends, historical patterns, and seasonality data to optimize your ability to meet your consumer demand most efficiently.
- Supply Network Planning (SNP). Focused on reducing inventory, safety stock management, and having a realistic supply plan. It supports hierarchical data structures with capabilities to consolidate data into families, versus combing extensive data for individual SKU’s, plants, or warehouses.
- Production Planning and Detail Scheduling (PPDS). Used for creating procurement proposals for in-house production or external procurement to cover product requirements. PPDS covers demand, excess inventory, resource planning, production monitoring, and modifications to the plan.
- Global Available to Promise (GATP). A module that searches to determine if product is available at specific times, and for quantities that satisfy the customer demand. The module works to optimize your customer demand fill rates.
Benefits of an SAP APO implementation are:
- Improvement in profit margins
- Reduced purchasing costs
- Reduced production and logistics costs
- Improved inventory management
- Improved management.
Technical resource partners for consideration might be – SAP, Gib, or Reveal.
Key considerations for SAPinsiders are:
- Leverage collaborative demand planning with APO. Anjali Butley is a business analyst with over 18 years of SAP experience in design and development of integrated supply chain solutions. Read her article on the benefits of developing an accurate demand plan with better communication, transparency, and quick decision-making.
- Address planning and scheduling challenges with APO industry extensions. Rajesh Raycurrently leads the SAP SCM product area at IBM Global Business Services. Read his insights to address the planning and scheduling challenges faced by the auto and retail industries.
- Manage promotions planning in SAP APO. Alok Jaiswal, is a consultant at Infosys Limited and has more than six years of experience in IT and ERP in supply chain. See his example of how promotional planning can be configured into SAP APO, which helps you improve forecast accuracy.
311 results
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Premium
SAP SCM 5.0: What’s New in PP/DS
Reading time: 12 mins
Learn about the new functionalities for Production Planning/Detailed Scheduling in SAP SCM 5.0 that help facilitate planners’ tasks. Key Concept Production Planning/Detailed Scheduling in SAP Advanced Planning and Optimization allows planners to create feasible short-term production plans and rough medium- and long-term plans. With the Production Planning aspect, planners create production plans across different production...…
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Perform Demand Planning Over the Web
Reading time: 9 mins
SAP APO 4.1 provides a collaborative planning platform for Demand Planning (DP) that helps you to capture demand directly from customers or from your field sales force over the Internet. Learn tips from a recent implementation, and take advantage of improvements in key performance measures like forecast accuracy. Key Concept SAP APO 4.1 has an...…
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10 History Cleansing Best Practices for Reliable Statistical Forecasting
Reading time: 19 mins
Generate the most reliable and accurate sales data history for your statistical forecasting as part of your SAP Advanced Planning & Optimization Demand Planning project. See how to implement an efficient and effective history cleansing process. Key Concept The baseline history of a product is its normal historical demand without promotion, external stimulation, or any other abnormal...…
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Use Global ATP to Trigger Time-Based Location Substitution in a Consolidation Environment
Reading time: 14 mins
Learn how to implement time-based location substitution using rules-based Available-to-Promise (ATP) in a consolidation scenario. An example from the chemical industry demonstrates how to set this up. Key Concept Inclusive rule strategies are used to determine the domain of products and the location substitutions that are possible based on the rules defined within the inclusive...…
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From Demand Planning to Demand Signal Management: Pros and Cons of Five Demand Management Solutions
Reading time: 10 mins
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...…
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Shrink Forecast Errors with SAP SCM 5.0
Reading time: 11 mins
Use these five steps in SCM 5.0 to help prevent common demand forecasting mistakes. Key Concept Statistical forecasting uses mathematical formulas to detect trends and patterns based on an event in history (such as seasonality) to predict changes in demand. Causal forecasting identifies the occurrence of an event based on a cause-and-effect relationship (such as...…
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Make the Most of APO
Reading time: 47 mins
The ability to produce fast, accurate APO Demand Planning (DP) reports requires close collaboration between the APO and BW teams. You want to optimize the data flow between DP and BW, and the advice and best practices presented here will help you achieve this goal. Key Concept Demand Planning (DP) is the tool used within...…
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2 Ways to Optimize ATP Functionality with Ease
Reading time: 9 mins
Find out how to make your Available-to-Promise (ATP) processes in R/3 work even better by controlling how you use safety stock. Then see how you can further tweak ATP checks with the product allocation tool. Key Concept The Available-to-Promise (ATP) quantity is the stock available to fulfill customer orders. A critical component in logistics planning,...…
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Premium
Better Manage Shortages by Integrating Allocation Planning with Supply Planning
Reading time: 10 mins
If you do not link product allocation to supply data properly, the two can fall out of sync quickly. This requires more manual intervention by planners and leads to problems such as shipping to the wrong customers and artificial shortages. Learn how to avoid this pitfall. Key Concept When they have to make decisions about...…
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Leverage SAP ECC’s and Global ATP’s Rounding Capabilities to Optimize Supply Chain Logistics
Reading time: 20 mins
Supply chains, especially retail supply chains, have specific requirements in the area of logistics lot sizing to not only improve the use of transportation resources but also to facilitate material handling. See some standard and simple custom rounding methodologies in Available-to-Promise functionality that can help make deliveries to the sales orders logistics compliant, thereby achieving...…
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