[DMANET] New Book

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New Book

Cell Formation in Industrial Engineering:
Theory, Algorithms and Experiments

Series: Springer Optimization and Its Applications, Vol. 79

Goldengorin Boris, Krushinsky Dmitry, Pardalos Panos M.

2013, XIV, 206 p. 50 illus., 37 illus. in color.

http://www.springer.com/mathematics/computational+science+%26+engineering/
book/978-1-4614-8001-3#

First book to address the cell formation theory and its applications from
the perspective of a development of optimal, flexible, and efficient models
and algorithms for cell formation in group technology.
Addresses new methodologies to solve cell formation problems
Can be used as supplementary text at the graduate and post-graduate levels
in all fields of computational engineering.

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.
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