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Lookup NU author(s): Professor Christian Hicks
Research on dispatching rules has focused upon deterministic job shop situations or small assembly environments and has ignored operational factors. This work uses data obtained from a capital goods company that produces complex products. The paper first explores the influence of the data update period and the minimum setup, machining and transfer times under stochastic infinite capacity conditions. It then investigates the significance of these factors and the relative performance of eight dispatching rules with finite capacity and stochastic processing times. Dispatching rules and most operational parameters were statistically significant. With finite capacity, the 'best' dispatching rule was different at the component and product levels and varied according to the performance measure used. The shortest operation time first rule generally produced the best results, particularly at product level. © 2006 Elsevier B.V. All rights reserved.
Author(s): Hicks C, Pongcharoen P
Publication type: Article
Publication status: Published
Journal: International Journal of Production Economics
Year: 2006
Volume: 104
Issue: 1
Pages: 154-163
Print publication date: 01/11/2006
ISSN (print): 0925-5273
ISSN (electronic):
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.ijpe.2005.07.005
DOI: 10.1016/j.ijpe.2005.07.005
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