Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager

An IBM Redbooks publication

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Published on 10 October 2012

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ISBN-10: 0738437360
ISBN-13: 9780738437361
IBM Form #: SG24-8017-00


Authors: Axel Buecker, Yana Ageeva, Veronique Blanchard, Dr. Jeremy Bloom, Dr. Mehmet F. Candas, Joao Chaves, Guang Feng, Abhishek Raman and Dr. Hans Schlenker

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    Abstract

    Today many organizations face challenges when developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals. Optimization technology has long been used to find the best solutions to complex planning and scheduling problems. A decision-support environment that enables the flexible exploration of all the trade-offs and sensitivities needs to provide the following capabilities:

    • Flexibility to develop and compare realistic planning and scheduling scenarios
    • Quality sensitivity analysis and explanations
    • Collaborative planning and scenario sharing
    • Decision recommendations

    This IBM® Redbooks® publication introduces you to the IBM ILOG® Optimization Decision Manager (ODM) Enterprise. This decision-support application provides the capabilities you need to take full advantage of optimization technology. Applications built with IBM ILOG ODM Enterprise can help users create, compare, and understand planning or scheduling scenarios. They can also adjust any of the model inputs or goals, and fully understanding the binding constraints, trade-offs, sensitivities, and business options.

    This book enables business analysts, architects, and administrators to design and use their own operational decision management solution.

    Table of Contents

    Part 1. Business concepts, architecture, and design

    Chapter 1. Context for optimization and analytic decision support

    Chapter 2. Introducing the ODM Enterprise solution

    Chapter 3. ODM Enterprise architecture

    Chapter 4. Transforming business requirements into an ODM Enterprise application

    Chapter 5. Solution design and management

    Part 2. Customer use cases

    Chapter 6. Case study: An insurance company

    Chapter 7. Case study: A manufacturing company

    Appendix A. IBM solution landscape for analytics, optimization, and decision support

    Appendix B. Troubleshooting

    Appendix C. Additional material

     

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