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:
Assembly-line methods > Data processing.
Business logistics > Data processing.
Production scheduling > Data processing.
Integer programming.
Travail à la chaîne > Informatique.
Logistique (Organisation) > Informatique.
Ordonnancement (Gestion) > Informatique.
Programmation en nombres entiers.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management.
BUSINESS & ECONOMICS > Management Science.
BUSINESS & ECONOMICS > Organizational Behavior.
Assembly-line methods > Data processing
Business logistics > Data processing
Integer programming
Production scheduling > Data processing
Wachtrijtheorie.
Ketenbeheer (logistiek)
dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xxxv, 455 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781118029114
1118029119
9781118029091
1118029097
0470935731
9780470935736
1283294583
9781283294584

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