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{ "item_title" : "Production Planning by Mixed Integer Programming", "item_author" : [" Yves Pochet", "Laurence A. Wolsey "], "item_description" : "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. 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. Reading this book will allow the reader to improve formulations of non-standard MIP models much more effectively and produce state-of-the-art models and algorithms.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/38/729/959/0387299599_b.jpg", "price_data" : { "retail_price" : "149.00", "online_price" : "149.00", "our_price" : "149.00", "club_price" : "149.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Production Planning by Mixed Integer Programming|Yves Pochet

Production Planning by Mixed Integer Programming

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Overview

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. 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. Reading this book will allow the reader to improve formulations of non-standard MIP models much more effectively and produce state-of-the-art models and algorithms.

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Details

  • ISBN-13: 9780387299594
  • ISBN-10: 0387299599
  • Publisher: Springer
  • Publish Date: April 2006
  • Dimensions: 9.56 x 6.34 x 1.14 inches
  • Shipping Weight: 1.97 pounds
  • Page Count: 500

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