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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Bibliographic Details
Published in:	International journal of production research Vol. 52; no. 19; pp. 5597 - 5610
Main Authors:	Tavana, Madjid, Fazlollahtabar, Hamed, Hassanzadeh, Reza
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 01.01.2014 Taylor & Francis LLC
Subjects:	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 Access:	Get full text
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