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Supply Chain Management Under Fuzziness pp 103–141Cite as

Fuzzy Multiple Criteria Decision Making for Supply Chain Management

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

Abstract

Supply Chain Management (SCM) problem can be simply described as if an enterprise is requested to provide adequate commodities to its customers on time, it should be able to design its own appropriate purchase/production/transportation network at the lowest-cost level in time. Modeling SCM by fuzzy mathematical programming is an innovative and a popular issue, this chapter introduces fuzzy multiple attribute decision making (FMADM) and fuzzy multiple objective programming (FMOP) for the solutions of SCM.

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Authors and Affiliations

  1. Institute of Industrial Engineering and Management, Da-Yeh University, Changhua, Taiwan

    Yuh-Wen Chen

  2. Department of Business Administration, Kulliyyah of Economics and Management Sciences, IIUM University, Selayang, Malaysia

    Moussa Larbani

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  1. Yuh-Wen Chen
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  2. Moussa Larbani
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Correspondence to Yuh-Wen Chen .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

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Chen, YW., Larbani, M. (2014). Fuzzy Multiple Criteria Decision Making for Supply Chain Management. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_6

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