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: Pochet, Yves, Wolsey, Laurence A., 1945-...., mathématicien (Автор)
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:
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Примечание: Description d'après consultation du 16 avril 2011
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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
Оглавление:
  • 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