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Applied Integer Programming: Modeling and Solution

ISBN: 978-1-118-21002-4

September 2011

488 pages

Description
Taking an application-oriented approach, Applied Integer Programming addresses the art and science of mathematical modeling related to MIP framework. This book discusses the algorithms and associated practices that enable those models to be solved most efficiently. Organized into three parts, this comprehensive reference eases the learning hurdles in integer programming with suggestions and guidelines for practice on the job for professionals, software developers, and analysts who need to model and solve real-world optimization problems using integer-programming techniques.
About the Author
Der-San Chen, PhD, is Professor Emeritus in the Department of Industrial Engineering at The University of Alabama. He has over thirty years of academic and consulting experience on the applications of linear programming, integer programming, optimization, and decision support systems. Dr. Chen currently focuses his research on modeling optimization problems arising in production, transportation, distribution, supply chain management, and the application of optimization and statistical software for problem solving.

Robert G. Batson, PhD, PE, is Professor of Construction Engineering at The University of Alabama, where he is also Director of Industrial Engineering Programs. A Fellow of the American Society for Quality Control, Dr. Batson has written numerous journal articles in his areas of research interest, which include operations research, applied statistics, and supply chain management.

Yu Dang, PhD, is Qualitative Manufacturing Analyst at Quickparts.com, a manufacturing services company that provides customers with an online e-commerce system to procure custom manufactured parts. She received her PhD in operations management from The University of Alabama in 2004.

Features
  • Thoroughly classroom-tested over the past two years, this book integrates problem solving, theory, and algorithms with insights into professional practice using commercial software. 
  • This easy-to-read book narrows the gap between academia and industry in an effort to better prepare students and professionals for integer programming as it is used in the current working environment.

  • The book makes liberal use of examples and flowcharts. Each new concept or algorithm is illustrated by a numerical example, and each chapter contains 3-5 figures, such as flowcharts or simple geometric drawings, to illustrate the concepts in the text.

  • Modeling is emphasized because the insertion of integer variables in a linear program enables much more rich and realistic representations of decision situations.