Recommender System for Decentralized Cloud Manufacturing
In today’s competitive markets where it is essential to provide high-quality results in order to cope up with the enormous and ever-growing demand for manufacturing resources, selection of optimal Cloud Manufacturing service provider and efficient service scheduling is the core of achieving high-quality and prompt outcomes. This paper elaborates on the use of recommender system to filter out the best candidate CMfg service provider based on various factors in a distributed model for an easily adaptable framework. This work is probably valuable for future research on the selection criterion of service providers and improving the efficiency of CMfg process as a whole.
KeywordsCloud manufacturing Recommender system Decentralized cloud manufacturing Manufacturing cloud
The work described in this paper is supported in part by National Natural Science Foundation of China under Grants 61632009 & 61876062, in part by the Guangdong Provincial Natural Science Foundation under Grant 2017A030308006, High-Level Talents Program of Higher Education in Guangdong Province under Grant 2016ZJ01, and the postdoctoral funding of Hunan University of Science and Technology, funding number 903-E61804.
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