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Balakrishnan, Nagraj (Raju) / Render, Barry / Stair, Ralph / Munson, Charles

Managerial Decision Modeling

Business Analytics with Spreadsheets, Fourth Edition

    173,50 € / $199.99 / £157.50*

    4th ed.
    Publication Date:
    August 2017
    See all formats and pricing


    • Offers complete explanations necessary for understanding concepts and their implementation in spreadsheets
    • Application-oriented and software-based, with a managerial view of effectively applying models to improve the decision-making process.

    Aims and Scope

    This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations.

    The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models.

    The additional material files

    • Chapter 12
    • Excel files for each chapter
    • Excel modules for Windows
    • Excel modules for Mac
    • 4th edition errata

    can be found at https://www.degruyter.com/view/product/486941

    Supplementary Information


    24.0 x 17.0 cm
    xxiv, 804 pages
    89 Tables
    Type of Publication:
    Decision modeling; Excel modeling; Linear programming; Decision science; Quantitative analysis

    More ...

    Nagraj Balakrishnan, University of Michigan, USA, Barry Render, Ralph M. Stair, Jr., Charles L. Munson, Washington State University

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