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.
CITATION STYLE
Alinani, K., Liu, D., Zhou, D., & Wang, G. (2019). Recommender System for Decentralized Cloud Manufacturing. In Communications in Computer and Information Science (Vol. 1123 CCIS, pp. 170–179). Springer. https://doi.org/10.1007/978-981-15-1304-6_14
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