An Integrated Cloud Manufacturing Model for Warehouse Selection in a Smart Supply Chain Network: A Comparative Study
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In the face of increasing competition in today’s manufacturing world, it is the need of the hour to associate cloud manufacturing with supply chain network making it smarter. It is a paradigm that helps taking smart decisions such as warehouse selection in manufacturing organisations efficaciously. In the proposed holistic approach, we combine Dempster–Shafer theory and analysis of variance in supply chain and integrate the same with cloud manufacturing for extrapolation. It is examined in a case study of warehouse selection for a manufacturing organisation. The study reveals the effectiveness of the model in selecting appropriate warehouse location for a manufacturing organisation. Lastly, the model is compared with the accomplished ideas of technique for ordered preference by similarity to ideal solution on the same case study. The outcome of the comparison results establishes the validation and robustness of the proposed approach.
KeywordsCloud manufacturing DST ANOVA Regression analysis Fuzzy multi-criteria decision-making (FMCDM) Warehouse selection
The authors acknowledge the support of Jadavpur University, Kolkata, India, and Calcutta Institute of Engineering and Management, Kolkata, India, in carrying out this work.
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