书目名称 | Production Planning by Mixed Integer Programming |
编辑 | Yves Pochet,Laurence A. Wolsey |
视频video | http://file.papertrans.cn/760/759241/759241.mp4 |
概述 | First to collect the large number of mathematical (polyhedral combinatorics) results on lotsizing and single product planning problems developed over the last twenty years.Authors are world leaders in |
丛书名称 | Springer Series in Operations Research and Financial Engineering |
图书封面 |  |
描述 | .This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and related 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. This book addresses the solution of real life or industrial production planning problems (involving complex production structures with multiple production stages) using a MIP modeling and reformulation approach. It is based on close to twenty years of research in which the authors have played a significant role. One of the goals of this book is to allow non-expert readers, students in business, engineering, applied mathematics and computer science to solve such problems using standard modeling tools and MIP software. To achieve this the book provides a unique collection of reformulation results, integrating them into a comprehensive modeling and reformulation approach, as well as an easy to use problem-solving library. Moreover this approach is demonstrated through a series of real life |
出版日期 | Textbook 2006 |
关键词 | combinatorics; computer science; modeling; operations research; optimization; production; programming; sets |
版次 | 1 |
doi | https://doi.org/10.1007/0-387-33477-7 |
isbn_softcover | 978-1-4419-2132-1 |
isbn_ebook | 978-0-387-33477-6Series ISSN 1431-8598 Series E-ISSN 2197-1773 |
issn_series | 1431-8598 |
copyright | Springer-Verlag New York 2006 |