Production planning by mixed integer programming
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 advanc...
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| Главные авторы: | , |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2006. |
| Серии: | Springer Series in Operations Research and Financial Engineering
|
| Предметы: | |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Description d'après consultation du 16 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Realm of tolerance, Pavol Ivanyi (ed.), Berlin, Springer-Verlag, 1989, XIX-314 p., 0-387-51056-7 • Production planning by mixed integer programming, Yves Pochet, Laurence A. Wolsey, New York, Springer, 2006, 1 vol. (XXIII-499 p.), Springer series in operations research and financial engineering, 0-387-29959-9 • Production planning by mixed integer programming, Yves Pochet, Laurence A. Wolsey, New York, Springer, 2006, 1 vol. (XXIII-499 p.), Springer series in operations research and financial engineering, 0-387-29959-9 |
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| 100 | 1 | |a Pochet, Yves. | |
| 245 | 1 | 0 | |a Production planning by mixed integer programming |c Yves Pochet, Laurence A. Wolsey. |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Operations Research and Financial Engineering |x 2197-1773 | |
| 500 | |a Description d'après consultation du 16 avril 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. [483]-492. Index | ||
| 505 | 1 | |a Production Planning and MIP The Modeling and Optimization Approach Production Planning Models and Systems Mixed Integer Programming Algorithms Classification and Reformulation Reformulations in Practice Basic Polyhedral Combinatorics for Production Planning and MIP Mixed Integer Programming Algorithms and Decomposition Approaches Single-Item Uncapacitated Lot-Sizing Basic MIP and Fixed Cost Flow Models Single-Item Lot-Sizing Lot-Sizing with Capacities Backlogging and Start-Ups Single-Item Variants Multi-Item Lot-Sizing Multi-Item Single-Level Problems Multi-Level Lot-Sizing Problems Problem Solving Test Problems | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 650 | |a Production |x Planification |x Modèles mathématiques | ||
| 650 | |a Programmation en nombres entiers | ||
| 650 | |a Distribution des produits |x Modèles mathématiques | ||
| 650 | |a Production |x Gestion | ||
| 700 | 1 | |a Wolsey, Laurence A., |d 1945-...., |c mathématicien. |4 aut | |
| 776 | 0 | |0 073950211 |t Realm of tolerance |f Pavol Ivanyi (ed.) |c Berlin |n Springer-Verlag |d 1989 |p XIX-314 p. |z 0-387-51056-7 | |
| 776 | 0 | |0 108870952 |t Production planning by mixed integer programming |f Yves Pochet, Laurence A. Wolsey |c New York |n Springer |d 2006 |p 1 vol. (XXIII-499 p.) |s Springer series in operations research and financial engineering |z 0-387-29959-9 | |
| 776 | 0 | |0 108870952 |t Production planning by mixed integer programming |f Yves Pochet, Laurence A. Wolsey |c New York |n Springer |d 2006 |p 1 vol. (XXIII-499 p.) |s Springer series in operations research and financial engineering |z 0-387-29959-9 | |
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