Production Planning by Mixed Integer Programming (Hardcover, 2006 ed.)

This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. Based on twenty years worth of research in which the authors have played a significant role, the book addresses real life industrial production planning problems (involving complex production structures with multiple production stages) using MIP modeling and reformulation approach. The book provides an introduction to MIP modeling and to planning systems, a unique collection of reformulation results, and an easy to use problem-solving library. This approach is demonstrated through a series of real life case studies, exercises and detailed illustrations. Review by Jakub Marecek (Computer Journal) The emphasis put on mixed integer rounding and mixing sets, heuristics in-built in general purpose integer programming solvers, as well as on decompositions and heuristics using integer programming should be praised... There is no doubt that this volume offers the present best introduction to integer programming formulations of lotsizing problems, encountered in production planning. (2007)

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Operations Research and Financial Engineering
Release date:	April 2006
First published:	2006
Authors:	Yves Pochet • Laurence A. Wolsey
Dimensions:	235 x 155 x 37mm (L x W x T)
Format:	Hardcover
Pages:	500
Edition:	2006 ed.
ISBN-13:	978-0-387-29959-4
Categories:	Books > Computing & IT > Computer programming > General Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	0-387-29959-9
Barcode:	9780387299594

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