2020
DOI: 10.1109/access.2020.2969234
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Composition of Resource-Service Chain Based on Evolutionary Algorithm in Distributed Cloud Manufacturing Systems

Abstract: In distributed cloud manufacturing (CMfg) systems, multi-resource service can complete more complex manufacturing tasks than single resource service. Especially in business process, all the resource services are invoked in a certain sequence, which is called the Resource-Service Chain (RSC). The RSC, as a sequential composition of resource services, expresses the scheduling and the flow of servicing to a distributed business process. A perfect composition can improve utilization ratio and efficient matching av… Show more

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Cited by 11 publications
(2 citation statements)
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“…The investigation about calculation structures that are less eager for computational assets can essentially add to making data structures more proficient; in numerous application issues in the field of engineering and logistics, traditional scientific techniques for the productive pursuit of the most extreme or least upsides of a genuine capacity have been upheld by exceptionally successful heuristic and meta-heuristic arrangements [8].…”
Section: Related Workmentioning
confidence: 99%
“…The investigation about calculation structures that are less eager for computational assets can essentially add to making data structures more proficient; in numerous application issues in the field of engineering and logistics, traditional scientific techniques for the productive pursuit of the most extreme or least upsides of a genuine capacity have been upheld by exceptionally successful heuristic and meta-heuristic arrangements [8].…”
Section: Related Workmentioning
confidence: 99%
“…In order to solve the problem of matching between shared distributed manufacturing resources and personalized service requirements, Bouzary and Chen [18] proposed an integrated classification algorithm to retrieve the candidate set of sub-tasks from the manufacturing capability data, and used a heuristic algorithm to obtain the optimal combination plan of manufacturing equipment service. Li et al [19] proposed an evolutionary algorithm of resource-service chain composition, which can effectively match the availability of resource-services by calculating the degree of dependence between them. Wang et al [20] proposed a multi-objective and binary integer programming model to effectively select the optimal machining devices in the manufacturing network.…”
Section: Introductionmentioning
confidence: 99%