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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Vydáno v:	International journal of production research Ročník 52; číslo 19; s. 5597 - 5610
Hlavní autoři:	Tavana, Madjid, Fazlollahtabar, Hamed, Hassanzadeh, Reza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 01.01.2014 Taylor & Francis LLC
Témata:	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
On-line přístup:	Získat plný text
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