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Scheduling in supply chains using mixed integer programming / Tadeusz Sawik.

By: Material type: TextPublication details: Hoboken, N.J. : Wiley, �2011.Description: 1 online resource (xxxv, 455 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118029114
  • 1118029119
  • 9781118029091
  • 1118029097
  • 0470935731
  • 9780470935736
  • 1283294583
  • 9781283294584
Subject(s): Genre/Form: Additional physical formats: Print version:: Scheduling in supply chains using mixed integer programming.DDC classification:
  • 658.701/51977 22
LOC classification:
  • TS178.4 .S287 2011
Other classification:
  • 85.03
Online resources:
Contents:
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.
Summary: 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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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.

Includes bibliographical references and index.

Print version record.

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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