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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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