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| Titel: |
Using aggregate estimation models for order acceptance in a decentralized production control structure for batch chemical manufacturing |
| Auteur: |
Raaymakers, Wenny H.M. Bertrand, J. Will M. Fransoo, Jan C. |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 32 (2000) nr. 10 pagina's 989-998 |
| Jaar: |
2000-10-01 |
| Inhoud: |
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. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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