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A hybrid MCDM approach for improving the performance of green suppliers in the TFT-LCD industry

Author

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  • Che-Wei Tsui
  • Gwo-Hshiung Tzeng
  • Ue-Pyng Wen

Abstract

The awareness of environmental protection/conservation and sustainable development has increased in the last two decades. In the competitive thin film transistor liquid crystal display (TFT-LCD) industry, green supplier evaluation involves environmental criteria in the traditional evaluation process and emphasises that TFT-LCD manufacturers should improve the performance of their suppliers with limited resources. The purpose of this study is to develop a hybrid multiple criteria decision-making with preference ranking organisation method for enrichment evaluations to evaluate and assist polariser suppliers for improving the performance of green suppliers in the TFT-LCD industry to achieve the aspiration level. Based on supplier audit forms, the proposed methods are as follows: to develop a decision framework by an influential network relation map (INRM); to obtain the influential weights of the criteria; to involve the concept of aspiration levels in the preference function; and to evaluate and reduce the gaps of suppliers in each criterion based on the INRM by systematically making decisions in the process of striving toward the aspirations. The results show the ranking as well as the suppliers’ strengths/weaknesses and provide an improvement report to enhance the suppliers’ competitiveness. In the evaluation procedure, the managers place importance on ‘green management’, ‘technology’ and ‘organisation’ aspects. To achieve the goal of being a cost-effective and high-performance manufacturer, the subsidiary polariser supplier should improve performance on ‘health and safety’ first and next develop technology to become the primary supplier by using the proposed methods.

Suggested Citation

  • Che-Wei Tsui & Gwo-Hshiung Tzeng & Ue-Pyng Wen, 2015. "A hybrid MCDM approach for improving the performance of green suppliers in the TFT-LCD industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6436-6454, November.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6436-6454
    DOI: 10.1080/00207543.2014.935829
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    Citations

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    Cited by:

    1. Wei Song & Zhiya Chen & Aijun Liu & Qiuyun Zhu & Wei Zhao & Sang-Bing Tsai & Hui Lu, 2018. "A Study on Green Supplier Selection in Dynamic Environment," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    2. Chen, Shih-Hsin & Lin, Wei-Ting, 2018. "Analyzing determinants for promoting emerging technology through intermediaries by using a DANP-based MCDA framework," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 94-110.
    3. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    4. Vicent Penadés-Plà & Tatiana García-Segura & José V. Martí & Víctor Yepes, 2016. "A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    5. Qin, Jindong & Liu, Xinwang & Pedrycz, Witold, 2017. "An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment," European Journal of Operational Research, Elsevier, vol. 258(2), pages 626-638.
    6. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    7. Melih Yucesan & Suleyman Mete & Faruk Serin & Erkan Celik & Muhammet Gul, 2019. "An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection," Mathematics, MDPI, vol. 7(2), pages 1-19, February.
    8. Shu-Kung Hu & Gwo-Hshiung Tzeng, 2019. "A Hybrid Multiple-Attribute Decision-Making Model with Modified PROMETHEE for Identifying Optimal Performance-Improvement Strategies for Sustainable Development of a Better Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1021-1053, August.
    9. Fatih Ecer, 2022. "Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer," Operational Research, Springer, vol. 22(1), pages 199-233, March.
    10. Wenwen Zhu & Zhiqiang Wang, 2018. "The Collaborative Networks and Thematic Trends of Research on Purchasing and Supply Management for Environmental Sustainability: A Bibliometric Review," Sustainability, MDPI, vol. 10(5), pages 1-28, May.
    11. Dan-Ping Li & Li Xie & Peng-Fei Cheng & Xiang-Hong Zhou & Cheng-Xun Fu, 2021. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model," SAGE Open, , vol. 11(4), pages 21582440211, November.

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