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Fuzzy Multi-Choice Goal Programming for Supplier Selection

Author

Listed:
  • Ching-Ter Chang

    (Chang Gung University, Taiwan)

  • Cheng-Yuan Ku

    (National Chung Cheng University, Taiwan)

  • Hui-Ping Ho

    (National Chung Cheng University and Chienkuo Technology University, Taiwan)

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.

Suggested Citation

  • Ching-Ter Chang & Cheng-Yuan Ku & Hui-Ping Ho, 2010. "Fuzzy Multi-Choice Goal Programming for Supplier Selection," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 1(3), pages 28-52, July.
    • Handle: RePEc:igg:joris0:v:1:y:2010:i:3:p:28-52
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    Cited by:

    1. Meixia Pan & Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "The Influence of Low Carbon Emission Engine on the Life Cycle of Automotive Products: A Case Study of Three-Cylinder Models in the Chinese Market," Energies, MDPI, vol. 15(18), pages 1-15, September.
    2. Irfan Ali & Armin Fügenschuh & Srikant Gupta & Umar Muhammad Modibbo, 2020. "The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management," Mathematics, MDPI, vol. 8(9), pages 1-25, September.
    3. Shengyuan Wang, 2022. "Exploring the Sustainability of China’s New Energy Vehicle Development: Fresh Evidence from Population Symbiosis," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    4. Shengyuan Wang & Meixia Pan & Xiaolan Wu, 2023. "Sustainable Development in the Export Trade from a Symbiotic Perspective on Carbon Emissions, Exemplified by the Case of Guangdong, China," Sustainability, MDPI, vol. 15(12), pages 1-23, June.

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