A comprehensive fuzzy multi-objective model for supplier selection process

M.H.F. Fazel Zarandi, S. Saghiri

Research output: Contribution to conference › Paper › peer-review

Abstract

Supplier selection is understood as one of the key processes in strategic decision making level in Supply Chains (SC). This paper develops a comprehensive multiple products and multiple suppliers model for this process. Moreover, various targets are discussed and analyzed in the form of objectives, in addition to related constraints. Such model development is fulfilled in a real-world situation with wide ranges of uncertainties. In this paper, a fuzzy decision making model is presented. In the proposed Fuzzy Multiple Objectives Decision Making (FMODM) model, all goals, constraints, variables and coefficients are fuzzy. It is shown that with the application of the fuzzy methodology, the complex multi-objective problem is converted to a single one that can be solved and interpreted easily.
Original languageEnglish
DOIs
Publication statusPublished - 25 May 2003
Externally publishedYes
Event12th IEEE International Conference on Fuzzy Systems : FUZZ '03 - St. Louis, U.S.
Duration: 25 May 2003 → 28 May 2003

Conference

Conference12th IEEE International Conference on Fuzzy Systems : FUZZ '03
Period25/05/03 → 28/05/03

Bibliographical note

Note: Published in: Nasraoui, Olfa, Frigui, Hichem and Keller, James M. (eds.) (2003) Proceedings of the 12th IEEE International Conference on Fuzzy Systems. Volume II. Piscataway : IEEE. pp. 368-373. (Lecture Notes in Computer Science, no. 10116) ISSN (print) 1098-7584 ISBN 0780378105.

Keywords

  • Business and management studies

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  • 1 Conference contribution

  • A comprehensive fuzzy multi-objective model for supplier selection process

    Fazel Zarandi, M. H. F. & Saghiri, S., 25 May 2003, Published in: Nasraoui, Olfa, Frigui, Hichem and Keller, James M. (eds.) (2003) Proceedings of the 12th IEEE International Conference on Fuzzy Systems. Volume II. Piscataway : IEEE. pp. 368-373. (Lecture Notes in Computer Science, no. 10116) ISSN (print) 1098-7584 ISBN 0780378105..

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

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