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.

An artificial intelligence-based production scheduler

DE TONI, Alberto Felice;NASSIMBENI, Guido;TONCHIA, Stefano
1996

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/729442
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