Cloud Manufacturing with Fuzzy Inference Systems: A Supply Chain Approach to Post Covid-19 Economy
39 Pages Posted: 7 Sep 2021
Date Written: September 6, 2021
This paper proposes a cloud manufacturing model as a supply chain approach for the post-COVID-19-economy. A fuzzy inference system is integrated into the model to optimally manage uncertainties related to Time, Quality, Cost, Reliability, and Availability caused by disruptions in the supply chain. The paper illustrates the implication of the model using a simulation in the context of a manufacturing process. The proposed model seeks to satisfy customers’ demands for high-quality products and services, in a timely manner, at the lowest cost possible. These properties are necessary in times of disruptions such as the COVID-19 pandemic and the like.
Keywords: Pandemic, COVID-19, Cloud Manufacturing, Cloud Computing, Clustered Supply Chain, Fuzzy Inference System, Deductive Fuzzy Logic
Suggested Citation: Suggested Citation