Real Optimization With Sap Apo

Optimization is a serious issue, touching many aspects of our life and activity. But it has not yet been completely absorbed in our culture. In this book the authors point out how relatively young even the word “model” is. On top of that, the concept is rather elusive. How to deal with a technology that ?nds applicationsinthingsasdi?erentaslogistics,robotics,circuitlayout,?nancial deals and tra?c control? Although, during the last decades, we made signi?cant progress, the broad public remained largely unaware of that. The days of John von Neumann, with his vast halls full of people frantically working mechanical calculators are long gone. Things that looked completely impossible in my youth, like solving mixed integer problems are routine by now. All that was not just achieved by ever faster and cheaper computers, but also by serious progress in mathematics. But even in a world that more and more understands that it cannot a?ord to waste resources, optimization remains to a large extent unknown. R It is quite logical and also fortunate that SAP , the leading supplier of enterprise management systems has embedded an optimizer in his software. The authors have very carefully investigated the capabilities and the limits of APO. Remember that optimization is still a work in progress. We do not have the tool that does everything for everybody.

Demand planning (DP) is an important process for supply chain management (SCM) across businesses and has a significant impact on the overall efficiency of business operations. With this book you will learn how to use the SAP ERP system for production planning and supply chain execution activities and how to use the Advanced Planner and Optimizer Supply Network Planning (APO SNP) system for supply planning in the network. Using a detailed case study and screenshots, you will walk through the entire demand planning execution process from APO DP, to APO BW, and the SAP ERP system using configurations, master data and transactions in SAP. The authors also provide methodologies and a roadmap for a template-based SAP global rollout and SAP implementation that is applicable for SAP APO DP. This expert guide to demand planning execution in SAP APO covers: - The data loading process to target systems using APO BW - Statistical forecasting, aggregation, and disaggregation of the demand plan - Product life cycle planning, promotion planning, cannibalization, and consensus planning - Mass processing methods for releasing and transferring supply and production planning

This is your one-stop shop for SAP APO in SAP Supply Chain Management Get the latest on the current SAP SCM 7.04 release while you learn how to use DP and SNP to forecast demand and capture demand patterns for tactical supply planning. Blending big-picture descriptions with step-by-step instructions, this book covers everything from implementing SAP APO to using interactive, characteristic-based, and collaborative planning. Carried by an in-depth case study, you'll discover quickly how to translate your demand and supply requirements into technical processes. Everything you need to know in one place a. Basic Principles and Advanced Planning Concepts Cement a foundation in basic sales and operations planning principles to support weekly and monthly planning cycles. Then learn about advanced concepts like promotion planning and customer segmentation in DP, and forecast consumption and shelf-life planning in SNP. b. Configuration and Optimization Configure your solution to optimize planning: set up the optimizer model, implement multi-level demand and supply planning with business priorities using the Capable-to-Match (CTM) functionality, and perform inventory modeling for supply chain optimization. c. Improved Architecture and Interface Achieve faster, streamlined planning. Discover SAP APO's architectural and UI improvements: SAP APO on SAP HANA, best practices for rapid deployment solutions, the SAP APO Add-on for SAP ERP, and SAP Fiori apps. Highlights: Demand Planning (SAP APO-DP) Supply Planning (SAP APO-SNP) Interactive planning Collaborative planning Reporting SNP optimizer Capable-to-Match Inventory planning and optimization Characteristic-based planning SAP APO SAP HANA

Demand planning (DP) is an important process for supply chain management (SCM) across businesses and has a significant impact on the overall efficiency of business operations. In this book, you will learn how to apply key demand planning concepts to SAP APO DP and familiarize yourself with important considerations like statistical forecasting. Using a detailed case study and screenshots, you will build a strong foundation on demand planning concepts and design in SAP APO along with an understanding of advanced design in APO DP. This expert guide to demand planning in SAP APO covers: - SCM Context, Business Processes and Functionality for Different SAP APO Modules including Technical Architecture and Integration - Example Business Scenario and Overall APO DP/ APO BW Process Flow Diagram - Demand Planning Concepts and Business Rationale for APO DP Design - Design and Deployment of Demand Planning in ERP, APO BW, and APO DP using Configuration, Master Data, and Transactions

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.

SAP SCM: Applications and Modeling for Supply Chain Management empowers you to capitalize on the sophistication of SAP APO. This book provides clear advice on the inevitable, critical decisions that can lead to project success or failure and shows you, wherever you are on the supply chain management staff—buyer, planner, ground controller or analyst—to fully exploit the agility SAP APO offers.

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".