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IIE Transactions

, Volume 32, Issue 10, pp 989–998 | Cite as

Using aggregate estimation models for order acceptance in a decentralized production control structure for batch chemical manufacturing

  • Wenny H.M. Raaymakers
  • J. Will M. Bertrand
  • Jan C. Fransoo
Article

Abstract

Aggregate models of detailed scheduling problems are needed to support aggregate decision making such as customer order acceptance. In this paper, we explore the performance of various aggregate models in a decentralized control setting in batch chemical manufacturing (no-wait job shops). Using simulation experiments based on data extracted from an industry application, we conclude that a linear regression based model outperforms a workload based model with regard to capacity utilization and the need for replanning at the decentralized level, specifically in situations with increased capacity utilization and/or a high variety in the job mix.

Keywords

Schedule Problem Simulation Experiment Control Structure Control Setting Production Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Wenny H.M. Raaymakers
    • 1
  • J. Will M. Bertrand
    • 1
  • Jan C. Fransoo
    • 1
  1. 1.Department of Technology ManagementTechnische Universiteit EindhovenEindhovenThe Netherlands

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