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Fuzzy Multi-Choice Goal Programming for Supplier Selection

Fuzzy Multi-Choice Goal Programming for Supplier Selection

Ching-Ter Chang, Cheng-Yuan Ku, Hui-Ping Ho
Copyright: © 2012 |Pages: 22
ISBN13: 9781466609334|ISBN10: 1466609338|EISBN13: 9781466609341
DOI: 10.4018/978-1-4666-0933-4.ch003
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MLA

Chang, Ching-Ter, et al. "Fuzzy Multi-Choice Goal Programming for Supplier Selection." Innovations in Information Systems for Business Functionality and Operations Management, edited by John Wang, IGI Global, 2012, pp. 39-60. https://doi.org/10.4018/978-1-4666-0933-4.ch003

APA

Chang, C., Ku, C., & Ho, H. (2012). Fuzzy Multi-Choice Goal Programming for Supplier Selection. In J. Wang (Ed.), Innovations in Information Systems for Business Functionality and Operations Management (pp. 39-60). IGI Global. https://doi.org/10.4018/978-1-4666-0933-4.ch003

Chicago

Chang, Ching-Ter, Cheng-Yuan Ku, and Hui-Ping Ho. "Fuzzy Multi-Choice Goal Programming for Supplier Selection." In Innovations in Information Systems for Business Functionality and Operations Management, edited by John Wang, 39-60. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0933-4.ch003

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Abstract

Supplier selection decision is an important issue of purchasing management in supply chain management involving multiple objectives; however, it is difficult to solve because objectives are often conflicting in nature. This study integrates multi-choice goal programming (MCGP) and fuzzy approaches as decision aids to help decision makers to choose better suppliers by considering multiple aspiration levels and vague goal relations. According to the function of multiple aspirations provided by the fuzzy MCGP (FMCGP), decision makers can set fuzzy relations among multiple supplier goals with linguistic quantifiers according to their different strategies. Also, decision makers can define the membership function for each linguistic quantifier to describe their ambiguous selection preference in supplier selection. With the FMCGP method, decision makers can obtain the order quantities for suitable suppliers based on different organizations’ supply chain strategies. To demonstrate the usefulness of the proposed method, a real-world case of a Liquid Crystal Display (LCD) monitor and acrylic sheet manufacturer is presented.

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