Study of resilient supply chain under smart manufacturing environment

Abstract

ABSTRACT In a highly competitive and volatile market, supply chain management (SCM) is the main deciding factor for the growth of an organization. It is described as a chain linking each element from customer and supplier through manufacturing and services so that flow of material, money and information can be effectively managed to meet the business requirement. It is the oversight of materials, information, and finances as they move in a process from supplier to manufacturer to wholesaler to retailer to consumer. It involves coordinating and integrating these flows both within and among companies. Product design, manufacturing and distribution strategies may change frequently and rapidly for the sake of it. The challenge for a company is not only how to continue to maintain a technically advanced and competitive product but also how to reduce the design, development and manufacturing time in line with demands of the market. The aim of this research is to develop a flexible, robust and resilient supply chain to achieve customer satisfaction and move towards a green eco-friendly environment, to contribute to the development of society and largely the mankind as a whole. The scope of this investigation is directed towards researching the models for decision making support in smart supply chain management under uncertainties from fuzzy type. The models have to simulate human decision making by means of applying soft computing in the form of fuzzy logic, fuzzy AHP, fuzzy TOPSIS, fuzzy Dempster-Shafer theory, Design of Experiment (DOE), EVAMIX, COPRAS-G, k-means clustering, Fuzzy Taguchi loss function, Fuzzy VIKOR and others. To conclude this, a resilient supply chain has been analysed by taking care of the integral parts of a supply chain individually. Be it selection of appropriate supplier, be it selection of modern advanced technology or be it selection of warehouse, all these aspects have been taken care of, in this research, thus, in turn, making it a purposeful research work.