Cloud manufacturing (CMfg) is a new service-oriented networked manufacturing paradigm, in which sharing and collaborating among distributed manufacturing resources and capabilities has become possible through the centralized management and control of CMfg platform. In fact, the CMfg platform executes the requesters’ tasks by intelligently decomposing the tasks, retrieving functionally similar resources and invoking and composing the services to achieve the optimal condition. The later step, i.e., service aggregation and optimal selection, has become one of the most challenging topics in the field. So, in this paper, after explaining the whole process of matching demands and resources in the context of CMfg, service aggregation and selection process is discussed in a detailed manner. Then, research work done to date regarding service aggregation and composition in CMfg has been investigated in detail from different viewpoints such as selection criteria, solving algorithms, correlation consideration, etc. The goal of this article is to provide a brief guideline for researchers who are aiming to do similar studies and assist them towards a better understanding of related research work done to date.
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