Sustainable supply chains and risk management for e-commerce companies using fuzzy inference system

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Abstract

Risk management has become a significant issue for enterprises due to the increasing global trading. In this constantly changing economic environment, it could be very hard to focus on a specific purpose and monitor the entire supply chain. This paper describes possible supply chain risk factors in which both physical objects and information are taken into account by considering the whole e-commerce elements. In modeling process, rule based fuzzy inference system approach is applied by the virtue of the dynamic structure of sustainable supply chain. The conceptual model consists of three tiers of critical decision making elements in e commerce; supplier, manufacturer and retailer. Describing the relations between input and output variables, model intends to monitor the minimization of different kinds of risk and maximization of the entire system performance.

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Oner, S. C., & Oztaysi, B. (2017). Sustainable supply chains and risk management for e-commerce companies using fuzzy inference system. In Intelligent Systems Reference Library (Vol. 113, pp. 291–312). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-42993-9_13

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