Production Planning by Mixed Integer Programming

Author:   Yves Pochet ,  Laurence A. Wolsey
Publisher:   Springer-Verlag New York Inc.
Edition:   2006 ed.
ISBN:  

9780387299594


Pages:   500
Publication Date:   19 April 2006
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Production Planning by Mixed Integer Programming


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Author:   Yves Pochet ,  Laurence A. Wolsey
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2006 ed.
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   2.010kg
ISBN:  

9780387299594


ISBN 10:   0387299599
Pages:   500
Publication Date:   19 April 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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From the reviews: <p> The book provides a complete overview of different models existing in the literature as well as in practice. a ] The authors also analyze MIP (mixed integer programming) based algorithms a ] . Practitioners who are interested in using MIP a ] can use the book to identify the most efficient way to formulate the problems and to choose the most efficient solution method. a ] it also can serve as a good reference for students and researchers. Overall, this is an excellent book. (Panos M. Pardalos, Mathematical Reviews, Issue 2006 k) <p> Recently published Production Planning by Mixed Integer Programming by Yves Pochet and Laurence Wolsey has raised considerable expectations. Firstly, problems of production planning are among the most interesting in Operations Research. a ] Secondly, both authors are renowned experts in the field. a ] There is no doubt that this volume offers the present best introduction to integer programming formulations of lot-sizing problems, encountered in production planning. (Jakub Marecek, The Computer Journal, September, 2007)


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