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Supplier Selection by Fuzzy Assessment and Testing for Process Quality under Consideration with Data Imprecision

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  • Kuen-Suan Chen

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan
    Department of Business Administration, Chaoyang University of Technology, Taichung 41349, Taiwan)

  • Tsang-Chuan Chang

    (College of Intelligence, National Taichung University of Science and Technology, Taichung 40401, Taiwan)

  • Chien-Che Huang

    (Department of Leisure and Recreation Management, National Taichung University of Science and Technology, Taichung 40401, Taiwan)

Abstract

Supply chain management models integrate upstream and downstream organizations to enable rapid response to consumer needs. For the manufacturing industry, the process quality of suppliers is thus the foundation of sustainable growth for firms and an important indicator of whether a firm can effectively reduce waste and protect the environment. To this end, this paper proposes a model of supplier selection for manufacturers based on process quality assessment. First of all, Six Sigma quality index Q p k is adopted as the assessment tool to conveniently measure the quality level of process. Practical applications require estimates of Q p k from the data collected to analyze the process quality of each supplier. The fact that uncertainty is unavoidable in the collected data means that using the crisp estimate of Q p k can lead to misjudgment of the process quality. To enhance the reliability of evaluation and reduce the risk of misjudgment, the fuzzy number Q ^ ˜ p k is proposed to perform the fuzzy testing of two indices Q p k provided by suppliers with the intent of making reliable decisions on supplier selection.

Suggested Citation

  • Kuen-Suan Chen & Tsang-Chuan Chang & Chien-Che Huang, 2020. "Supplier Selection by Fuzzy Assessment and Testing for Process Quality under Consideration with Data Imprecision," Mathematics, MDPI, vol. 8(9), pages 1-14, August.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1420-:d:403271
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    References listed on IDEAS

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    1. K. Chen & L. Ouyang & C. Hsu & C. Wu, 2009. "The communion bridge to Six Sigma and process capability indices," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(3), pages 463-469, May.
    2. Wu, Chien-Wei & Pearn, W.L. & Kotz, Samuel, 2009. "An overview of theory and practice on process capability indices for quality assurance," International Journal of Production Economics, Elsevier, vol. 117(2), pages 338-359, February.
    3. Chen, K.S. & Chen, T.W., 2008. "Multi-process capability plot and fuzzy inference evaluation," International Journal of Production Economics, Elsevier, vol. 111(1), pages 70-79, January.
    4. Kuen-Suan Chen & Hsi-Tien Chen & Tsang-Chuan Chang, 2017. "The construction and application of Six Sigma quality indices," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2365-2384, April.
    5. Tsang-Chuan Chang & Kuen-Suan Chen, 2019. "Testing process quality of wire bonding with multiple gold wires from viewpoint of producers," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5400-5413, September.
    6. Hengameh Hadian & S. Chahardoli & Amir-Mohammad Golmohammadi & Ali Mostafaeipour, 2020. "A practical framework for supplier selection decisions with an application to the automotive sector," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2997-3014, May.
    7. Kun-Tzu Yu & Kuen-Suan Chen, 2016. "Testing and analysing capability performance for products with multiple characteristics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6633-6643, November.
    8. Kuen-Suan Chen & Kung-Jeng Wang & Tsang-Chuan Chang, 2017. "A novel approach to deriving the lower confidence limit of indices , , and in assessing process capability," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 4963-4981, September.
    9. Vidhika Tiwari & N. K. Singh, 2017. "Process capability index for bivariate exponentially distributed quality characteristics and its sampling properties," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(22), pages 11099-11109, November.
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