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A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product

Author

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  • Aijun Liu

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
    Guangdong University of Technology, Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, Guangzhou 510006, China)

  • Yaxuan Xiao

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China)

  • Xiaohui Ji

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China)

  • Kai Wang

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China)

  • Sang-Bing Tsai

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
    Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

  • Hui Lu

    (Tianhua College, Shanghai Normal University, Shanghai 201815, China)

  • Jinshi Cheng

    (School of Management Engineering, Anhui Polytechnic University, Wuhu 241000, China)

  • Xinjun Lai

    (School of Electro-Mechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China)

  • Jiangtao Wang

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

Abstract

The selection of fresh product suppliers is a multi-criteria decision making (MCDM) problem with great significant and application value. This requires trade-offs between multiple criteria to prove its ambiguity and uncertainty. Therefore, a novel two-stage fuzzy integrated MCDM method to select suitable suppliers is employed. In the first stage, two collective relationship matrixes are constructed by quality function development (QFD), and relationships among customer requirements (CRs), company strategies (CSs) as well as selection criteria are considered separately in the two matrixes. Subjective criteria weights are obtained by fuzzy best-worst method (BWM) appropriately. In the second stage, the objective criteria weights are obtained using Shannon’s entropy method, and the fuzzy multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) is applied to rank suppliers. Finally, an application case is applied to prove the feasibility of the proposed method. These conclusions can help companies improve their CSs and increase their market competitiveness.

Suggested Citation

  • Aijun Liu & Yaxuan Xiao & Xiaohui Ji & Kai Wang & Sang-Bing Tsai & Hui Lu & Jinshi Cheng & Xinjun Lai & Jiangtao Wang, 2018. "A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2371-:d:156873
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    References listed on IDEAS

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    3. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.
    4. Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
    5. Amparo Baviera-Puig & Mónica García-Melón & María Dolores Ortolá & Isabel López-Cortés, 2021. "Proposal of a New Orange Selection Process Using Sensory Panels and AHP," IJERPH, MDPI, vol. 18(7), pages 1-17, March.
    6. Mu-Hsin Chang & James J. H. Liou & Huai-Wei Lo, 2019. "A Hybrid MCDM Model for Evaluating Strategic Alliance Partners in the Green Biopharmaceutical Industry," Sustainability, MDPI, vol. 11(15), pages 1-20, July.
    7. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    8. Hao Xu & Liuxin Chen & Qiongfang Li & Jianchao Yang, 2021. "A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective," IJERPH, MDPI, vol. 18(1), pages 1-15, January.
    9. Erfan Babaee Tirkolaee & Zahra Dashtian & Gerhard-Wilhelm Weber & Hana Tomaskova & Mehdi Soltani & Nasim Sadat Mousavi, 2021. "An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness," Mathematics, MDPI, vol. 9(11), pages 1-30, June.
    10. Xue-Guo Xu & Hua Shi & Li-Jun Zhang & Hu-Chen Liu, 2019. "Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment," Sustainability, MDPI, vol. 11(23), pages 1-16, November.

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