Service-oriented robust parallel machine scheduling

Stochastic scheduling optimisation is a hot and challenging research topic with wide applications. Most existing works on stochastic parallel machine scheduling address uncertain processing time, and assume that its probability distribution is known or can be correctly estimated. This paper investig...

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Bibliographic Details
Published in:	International journal of production research Vol. 57; no. 12; pp. 3814 - 3830
Main Authors:	Liu, Ming, Liu, Xin, Chu, Feng, Zheng, Feifeng, Chu, Chengbin
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 18.06.2019 Taylor & Francis LLC
Subjects:	ambiguous processing time Computation Computer Science Covariance matrix distributionally robust Job shops Mixed integer Operations Research Optimization Probability theory Production scheduling Scheduling service level stochastic optimisation Service level Scheduling Ambiguous processing time Stochastic optimisation Distributionally robust
ISSN:	0020-7543, 1366-588X
Online Access:	Get full text
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