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Scheduling in supply chains using mixed integer programming /

A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains Supply chain management is a rapidly developing field, and the recent improvements in modeling, preprocessing, solution algorithms, and mixed integer programming (...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sawik, Tadeusz
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2011.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Scheduling in supply chains using mixed integer programming /  |c Tadeusz Sawik. 
260 |a Hoboken, N.J. :  |b Wiley,  |c ©2011. 
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505 0 |a Frontmatter -- Short-Term Scheduling in Supply Chains. Scheduling of Flexible Flow Shops -- Scheduling of Surface Mount Technology Lines -- Balancing and Scheduling of Flexible Assembly Lines -- Loading and Scheduling of Flexible Assembly Systems -- Medium-Term Scheduling in Supply Chains. Customer Order Acceptance and Due Date Setting in Make-to-Order Manufacturing -- Aggregate Production Scheduling in Make-to-Order Manufacturing -- Reactive Aggregate Production Scheduling in Make-to-Order Manufacturing -- Scheduling of Material Supplies in Make-to-Order Manufacturing -- Selection of Static Supply Portfolio in Supply Chains with Risks -- Selection of a Dynamic Supply Portfolio in Supply Chains with Risks -- Coordinated Scheduling in Supply Chains. Hierarchical Integration of Medium- and Short-Term Scheduling -- Coordinated Scheduling in Supply Chains with a Single Supplier -- Coordinated Scheduling in Supply Chains with Assignment of Orders to Suppliers -- Coordinated Scheduling in Supply Chains without Assignment of Orders to Suppliers -- References -- Index. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 |a A unified, systematic approach to applying mixed integer programming solutions to integrated scheduling in customer-driven supply chains Supply chain management is a rapidly developing field, and the recent improvements in modeling, preprocessing, solution algorithms, and mixed integer programming (MIP) software have made it possible to solve large-scale MIP models of scheduling problems, especially integrated scheduling in supply chains. Featuring a unified and systematic presentation, Scheduling in Supply Chains Using Mixed Integer Programming provides state-of-the-art MIP mo. 
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650 0 |a Production scheduling  |x Data processing. 
650 0 |a Integer programming. 
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