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

Sultan Ceren Oner; Basar Oztaysi

doi:10.1007/978-3-319-42993-9_13

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

Sultan Ceren Oner^*
, Basar Oztaysi

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent Systems Reference Library
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	291-312
Number of pages	22
DOIs	https://doi.org/10.1007/978-3-319-42993-9_13
Publication status	Published - 2017

Publication series

Name	Intelligent Systems Reference Library
Volume	113
ISSN (Print)	1868-4394
ISSN (Electronic)	1868-4408

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2017.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

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10.1007/978-3-319-42993-9_13

Cite this

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Sustainable supply chains and risk management for e-commerce companies using fuzzy inference system. / Oner, Sultan Ceren; Oztaysi, Basar.
Intelligent Systems Reference Library. Springer Science and Business Media Deutschland GmbH, 2017. p. 291-312 (Intelligent Systems Reference Library; Vol. 113).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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

Abstract

Publication series

Bibliographical note

UN SDGs

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