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Operations planning : mixed integer optimization models /

A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with w...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Geunes, Joseph (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2015]
Colección:Operations research series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Operations planning :  |b mixed integer optimization models /  |c Joseph Geunes. 
264 1 |a Boca Raton, FL :  |b CRC Press,  |c [2015] 
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490 1 |a The Operations Research Series 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction and Purpose -- The Knapsack Problem -- Set Covering, Packing, and Partitioning Problems -- The Generalized Assignment Problem -- Uncapacitated Economic Lot Sizing Problems -- Capacitated Lot Sizing Problems -- Multistage Production and Distribution Planning Problems -- Discrete Facility Location Problems -- Vehicle Routing and Traveling Salesman Problems. 
588 0 |a Online resource; title from PDF title page (CRCnetBASE, viewed on October 21, 2014). 
520 |a A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with widespread application in operations planning. The discussion of each of these classical models begins with the motivation for studying the problem as well as examples of the problem's application in operations planning contexts. The book explores special structural results and properties of optimal. 
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650 0 |a Production planning  |x Mathematical models. 
650 2 |a Operations Research 
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