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An artificial, intelligence‐based production scheduler

Alberto De Toni (Department of Electrical, Managerial and Mechanized Engineering (DIEGM), University of Udine, Italy)
Guido Nassimbeni (Department of Electrical, Managerial and Mechanized Engineering (DIEGM), University of Udine, Italy)
Stefano Tonchia (Department of Electrical, Managerial and Mechanized Engineering (DIEGM), University of Udine, Italy)

Integrated Manufacturing Systems

ISSN: 0957-6061

Article publication date: 1 June 1996

1015

Abstract

Describes a production scheduler, which utilizes a hybrid push/pull approach to scheduling and exploits the expert system technology in order to obtain satisfactory solutions. The scheduler is applied to a multi‐stage production and inventory system, managed by make‐to‐order, with a large variety of incoming orders. The search for solution is made in respect of the due‐dates and under efficiency constraints (minimum lot, maximum storehouse levels, etc.). Considers order aggregation, both at portfolio and production level. Provides a dynamic rescheduling mechanism. Outlines theoretical arguments in favour of the scheduler and notes practical advantages as a consequence of the application of the scheduler in a firm which utilized a traditional despatching system.

Keywords

Citation

De Toni, A., Nassimbeni, G. and Tonchia, S. (1996), "An artificial, intelligence‐based production scheduler", Integrated Manufacturing Systems, Vol. 7 No. 3, pp. 17-25. https://doi.org/10.1108/09576069610116896

Publisher

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MCB UP Ltd

Copyright © 1996, MCB UP Limited

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