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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Vydané v:	International journal of production research Ročník 57; číslo 12; s. 3814 - 3830
Hlavní autori:	Liu, Ming, Liu, Xin, Chu, Feng, Zheng, Feifeng, Chu, Chengbin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 18.06.2019 Taylor & Francis LLC
Predmet:	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
On-line prístup:	Získať plný text
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