A bi-objective stochastic programming model for optimising automated material handling systems with reliability considerations

The optimisation of material handling systems (MHSs) can lead to substantial cost reductions in manufacturing systems. Choosing adequate and relevant performance measures is critical in accurately evaluating MHSs. The majority of performance measures used in MHSs are time-based. However, moving mate...

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Veröffentlicht in:	International journal of production research Jg. 52; H. 19; S. 5597 - 5610
Hauptverfasser:	Tavana, Madjid, Fazlollahtabar, Hamed, Hassanzadeh, Reza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 01.01.2014 Taylor & Francis LLC
Schlagworte:	Automated automated guided vehicle Automated storage retrieval systems Automation Cost reduction Effectiveness Goal programming Manufacturing material handling system Materials handling Mathematical models Neural networks Optimization Optimization algorithms perceptron neural network Programming reliability Stochastic models stochastic programming Stochasticity Studies
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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