Simulation for Decision Making
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Simulation for Decision Making

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Published by PWS Pub. Co. .
Written in English


  • Decision Making & Problem Solving,
  • Business / Economics / Finance

Book details:

The Physical Object
FormatMass Market Paperback
ID Numbers
Open LibraryOL10476303M
ISBN 100534954669
ISBN 109780534954666

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This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that - Selection from Business Case Analysis with R: Simulation Tutorials to Support Complex Business Decisions [Book]. Read chapter 4 MS&A and Decision Making: Modeling, simulation, and analysis (MS&A) is a crucial tool for military affairs. MS&A is one of the announced p Login Register Cart Help. Show this book's table of contents, where you can jump to any chapter by name. Jun 20,  · The Best Approach to Decision Making Combines Data and Managers’ Expertise. One possible solution may be found in Agent-Based Simulation the year before publishing his seminal book. Decision-making: Theory and practice These ideas are translated into an explicit computer simulation model of a garbage can decision process. the book presents an overview of the research.

This book is recommended for anyone who is interested in supply chain and operations management. It has applied models and a simple, easy to follow format for people without an engineering background. The book combines modeling and management views on decision-making, and introduces the basic principles of using simulation for decision making. Aug 07,  · Simulation offers a powerful, evidence-based approach to decision making - by using a virtual representation to test the impact of process changes and . It also discusses how to use these models and their simulation and optimization results to improve management decision-making. The book is focused on management issues and uses clear terminology to describe the model development processes. Included with the book are the Excel scenarios used in the examples. About the author. This book describes computer simulation concepts then provides basic details about using discrete-event computer simulation for decision making. Input data collection and analysis, model construction, project mechanics, output analysis, verification, validation, reporting, logic transfer, and robust experimental design are all covered in detail/5(32).