Cell Formation in Industrial Engineering: Theory, Algorithms and Experiments (Springer Optimization and Its Applications, 79) - Softcover

Goldengorin, Boris; Krushinsky, Dmitry; Pardalos, Panos M.

Softcover

ISBN 10: 1489985409 ISBN 13: 9781489985408

Publisher: Springer, 2015

Synopsis

This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system.

In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed.

The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics.

About this title

About the Author

Prof. Dr. Boris Goldengorin is the inventor and author of data correcting and tolerance based algorithms applied to many problems in Operations Management, Supply Chain Management, Quantitative Logistics, Industrial Engineering and Stock Market Analysis. He is an author of more than 100 papers published in top international journals including Operations Research, Management Science, European Journal of Operational Research, The Journal of Operational Research Society and many others. Dr. Goldengorin published four monographs, two textbooks and an editor of four books. He is an Associate Editor for Journal of Global Opimization, Journal of Combinatorial Optimization, and The Open Operational Research Journal.

Dr. Goldengorin has been involved in the preparation of a $4 MM mega grant to establish an international research lab on algorithms and technologies for network analysis (nnov.hse.ru/en/latna/). He is affiliated with Advanced Marketing Models Company (ammodelsinc.com/) in New York (USA).

Prof. Goldengorin taught worldwide from middle school programs up to PhD levels and supervised more than 100 BSc, MSc, and PhD students in the Netherlands, Germany, United Kingdom, Kazakhstan, Russia, Ukraine, and United States.

From the Back Cover

This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system.

In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed.

The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics.

Edition details

• Publisher: Springer
• Publication date: 2015
• Language: English
• ISBN 10: 1489985409
• ISBN 13: 9781489985408
• Binding: Paperback
• Number of pages: 220