FN ISI Export Format VR 1.0 PT J TI Using aggregate estimation models for order acceptance in a decentralized production control structure for batch chemical manufacturing AF Raaymakers, Wenny H.M. Bertrand, J. Will M. Fransoo, Jan C. AU Raaymakers, WH Bertrand, J. Will M. Fransoo, JC SO IIE Transactions SN 0740-817X VL 32 BP 989 EP 998 PY 2000 AB 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. DI 10.1023/A%3A1007672800764 ER