Production Planning by Mixed Integer Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Production Planning by Mixed Integer Programming

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Pochet, Yves; Wolsey, Laurence A.; 作者
譯者
2010-11 出版日期
524 頁數
$ 73.39 價格
叢書系列
9781441921321 圖書編碼

Production Planning by Mixed Integer Programming 在線電子書 圖書標籤: Theory  Optimization  Math  Academic   


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Production Planning by Mixed Integer Programming 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Production Planning by Mixed Integer Programming 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Production Planning by Mixed Integer Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Production Planning by Mixed Integer Programming 在線電子書 著者簡介


Production Planning by Mixed Integer Programming 在線電子書 著者簡介


Production Planning by Mixed Integer Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Production Planning by Mixed Integer Programming 在線電子書 圖書描述

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)

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