00000cam a22000004i 4500 UP-99796217611984146 Buklod 20230215105418.0 m |o d | ta 051006s2006 nyua rb |001 0|eng d 0387299599 9780387299594 (iLib)UPD-00254212523 DLC DENGII rda eng DMLUC TS 176 P63 2006 Pochet, Yves author. Production planning by mixed integer programming Yves Pochet, Laurence A. Wolsey. New York, New York Springer Science+Business Media, Inc. [2006] xxiii, 499 pages illustrations 25 cm text rdacontent unmediated rdamedia volume rdacarrier Springer series in operations research and financial engineering Includes bibliographical references ([483]-492 p.) and index. 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 case studies, exercises and detailed illustrations. Graduate students and researchers in operations research, management, science and applied mathematics wishing to gain a deeper understanding of the formulations and mathematics underlying this approach will find this book useful because of its detailed treatment of the polyhedral structure of the basic lot-sizing problems and simple mixed integer sets that arise in the decomposition of more complicated problems. This book will allow the reader to improve formulations of non-standard MIP models and produce state-of-the-art models and algorithms. E2-611G donated by Mr. Johnson Apacible. Production planning Mathematical models Textbooks. Physical distribution of goods Mathematical models Textbooks. Wolsey, Laurence A. author. Book http://www.loc.gov/catdir/enhancements/fy0814/2005935294-t.html Table of contents only (viewed 18 January 2018) FO UPD DENG-II TS 176 P63 2006 Book