Multi-machine earliness and tardiness scheduling problem: an interconnected neural network approach

This paper addresses the problem of scheduling a set of independent jobs with sequence-dependent setups and distinct due dates on non-uniform multi-machines to minimize the total weighted earliness and tardiness, and explores the use of artificial neural networks as a valid alternative to the tradit...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2008-05, Vol.37 (5-6), p.576-588
Hauptverfasser:	Akyol, Derya Eren, Bayhan, G. Mirac
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks CAE) and Design Computer simulation Computer-Aided Engineering (CAD Engineering Industrial and Production Engineering Mechanical Engineering Media Management Neural networks Original Article Penalty function Production scheduling Scheduling
Online-Zugang:	Volltext
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