Cloud manufacturing service composition and optimal selection with sustainability considerations: a multi-objective integer bi-level multi-follower programming approach

The process of service composition and optimal selection (SCOS) is an important issue in cloud manufacturing (CMfg). However, the current studies on CMfg and SCOS have generally focused on optimising the allocation of resources against quality of service (QoS), in terms of e.g. cost, quality, and ti...

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Veröffentlicht in:	International journal of production research Jg. 58; H. 19; S. 6024 - 6042
Hauptverfasser:	Wu, Yanxia, Jia, Guozhu, Cheng, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 01.10.2020 Taylor & Francis LLC
Schlagworte:	Algorithms cloud manufacturing cloud service composition Composition Design optimization Integers Manufacturing multi-objective integer bi-level multi-follower programming Multiple objective analysis particle swarm optimisation quality of service Social factors Sustainability sustainability of cloud manufacturing
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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