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...

Celý popis

Podrobná bibliografia

Vydané v:	International journal of production research Ročník 58; číslo 19; s. 6024 - 6042
Hlavní autori:	Wu, Yanxia, Jia, Guozhu, Cheng, Yang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 01.10.2020 Taylor & Francis LLC
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!