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Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain: Case Study in Steel Industry

Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain: Case Study in Steel Industry

Niloofar Katiraee, Babak Shirazi, Hamed Fazlollahtabar
Copyright: © 2017 |Volume: 10 |Issue: 3 |Pages: 19
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781522511793|DOI: 10.4018/IJISSCM.2017070104
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MLA

Katiraee, Niloofar, et al. "Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain: Case Study in Steel Industry." IJISSCM vol.10, no.3 2017: pp.65-83. http://doi.org/10.4018/IJISSCM.2017070104

APA

Katiraee, N., Shirazi, B., & Fazlollahtabar, H. (2017). Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain: Case Study in Steel Industry. International Journal of Information Systems and Supply Chain Management (IJISSCM), 10(3), 65-83. http://doi.org/10.4018/IJISSCM.2017070104

Chicago

Katiraee, Niloofar, Babak Shirazi, and Hamed Fazlollahtabar. "Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain: Case Study in Steel Industry," International Journal of Information Systems and Supply Chain Management (IJISSCM) 10, no.3: 65-83. http://doi.org/10.4018/IJISSCM.2017070104

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Abstract

One of the substantial concerns in any large scale enterprises is the process of evaluating, selecting and improving suppliers due to the involvement of many uncontrollable and unavoidable factors. To address this issue in industry, suppliers are selected in the context of a resilient supply chain since it is one way to overcome disruptions. Selection of suppliers involves a variety of both qualitative and quantitative attributes. This research proposes the five main criteria of supplier selection which are chosen based on vulnerable areas and production requirements to develop flexibility in procuring material. In order to select appropriate suppliers for optimal order allocation the fuzzy multi-objective linear programming (FMOLP) is proposed which overcomes the vagueness of the information. Also to calculate the importance of each criterion fuzzy analytic hierarchy process (FAHP) is used. Finally, the practical usefulness of the proposed method is ascertained through a case study in steel industry.

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