Service matching and selection in cloud manufacturing: a state-of-the-art review
Service matching and selection in cloud manufacturing: a state-of-the-art review
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DOI：
10.1016/j.promfg.2018.07.149
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Hamed Bouzary;F. Frank Chen;K. Krishnaiyer
中科院分区：
文献类型：
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作者：
Hamed Bouzary;F. Frank Chen;K. Krishnaiyer
云制造（Cloud Manufacturing，CMfg）是一种面向服务的网络化制造模式，通过CMfg平台的集中管理和控制，实现了分布式制造资源和能力的共享与协作。事实上，CMfg平台通过智能地分解任务、检索功能相似的资源以及调用和组合服务来执行请求者的任务，以达到最佳条件。后面的步骤，即，服务聚合和最优选择已经成为该领域最具挑战性的课题之一。因此，本文在阐述了CMfg环境下需求与资源匹配的全过程后，详细讨论了服务聚合与选择过程。然后，迄今为止所做的研究工作，在CMFG的服务聚合和组合已从不同的角度，如选择标准，求解算法，相关性的考虑等进行了详细的调查。本文的目标是提供一个简短的指导方针，研究人员谁的目标是做类似的研究，并协助他们对更好地了解相关的研究工作完成日期。
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.