Publication | Closed Access
Single‐objective service composition methods in cloud manufacturing systems: Recent techniques, classification, and future trends
62
Citations
57
References
2021
Year
EngineeringResource Management (Sustainable Manufacturing)Smart ManufacturingOperations ResearchRecent TechniquesService CompositionCloud-based ManufacturingSystems EngineeringManufacturing PlanningManufacturing SystemsSupply Chain ManagementCloud Service AdaptationFuture TrendsManufacturing StrategyService OrchestrationService-oriented ComputingCloud ComputingBusinessIntelligent Manufacturing SystemCloud ManufacturingResource Management (Queueing Theory)
Abstract In recent years, cloud manufacturing (CMfg) has been developed as an intelligent manufacturing system, in which geographically distributed manufacturing resources are available as services in the cloud platform. Choosing and integrating single services into a combined service to fulfill the client's requests requires higher emphasis. However, by increasing customers' trend to utilize CMfg, service providers are encouraged to publish services with various functional and non‐functional characteristics. Thus, service composition and optimal selection has become one of the most challenging topics in CMfg. Hence, an inclusive review of current studies on this NP‐hard issue is extremely desirable. This article first, selects the recent studies in the field of single‐objective service composition in CMfg and classifies and surveys them comprehensively in terms of QoS parameters, energy consumption, user constraint, and so forth. This article aims to provide a useful roadmap for future researchers who are intended to explore novel work in this field. The search for articles was conducted in November 2020.
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