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Pocht, Yves; Wolsey, Laurence A. - Production Planning by Mixed Integer Programming - 9780387299594 - V9780387299594
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Production Planning by Mixed Integer Programming

€ 142.75
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Description for Production Planning by Mixed Integer Programming Hardback. This 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. Series: Springer Series in Operations Research and Financial Engineering. Num Pages: 524 pages, 53 black & white tables, biography. BIC Classification: KJMV5; PBWH; UM. Category: (P) Professional & Vocational. Dimension: 243 x 165 x 37. Weight in Grams: 934.
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 ... Read more

Product Details

Format
Hardback
Publication date
2006
Publisher
Springer-Verlag New York Inc. United States
Number of pages
524
Condition
New
Series
Springer Series in Operations Research and Financial Engineering
Number of Pages
500
Place of Publication
New York, NY, United States
ISBN
9780387299594
SKU
V9780387299594
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Production Planning by Mixed Integer Programming
From the reviews: "The book provides a complete overview of different models existing in the literature as well as in practice. … The authors also analyze MIP (mixed integer programming) based algorithms … . Practitioners who are interested in using MIP … can use the book to identify the most efficient way to formulate the ... Read more

Goodreads reviews for Production Planning by Mixed Integer Programming


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