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Prioritizing risk factors in sustainable supply chain using fuzzy Kano and interval-valued intuitionistic fuzzy QFD

Yushi Xie (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
Lina He (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China) (Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China)
Wei Xiang (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
Zhenxing Peng (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
Xinguo Ming (School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
Mark Goh (Business School, National University of Singapore, Singapore, Singapore)

Kybernetes

ISSN: 0368-492X

Article publication date: 22 February 2022

Issue publication date: 3 August 2023

373

Abstract

Purpose

The purpose of the paper is to develop a hybrid method to prioritize risk factors (RFs) of sustainable supply chain (SSC) considering sustainable customer requirements (CRs) and uncertain evaluation.

Design/methodology/approach

In the proposed method, fuzzy Kano model (FKM) is applied to prioritize sustainable CRs considering customer satisfaction (CS) and objective weight of each CR, the interval-valued intuitionistic fuzzy (IVIF) set theory is integrated with quality function deployment (QFD) to translate the sustainable CRs into RFs of SSC under uncertain environment and the IVIF cross-entropy is used to conduct objective analysis to prioritize RFs. Finally, a case in air-conditioner-manufacturing company is presented to demonstrate the proposed method.

Findings

A case study of SSC risk management, the comparative analysis and associated discussions are conducted to illustrate the feasibility and effectiveness of the proposed method. The results obtained from the case study shows that RF5 (market share reduction) is the most important RF in the SSC. Compared with the existing methods, the proposed method can integrate sustainable CRs into SSC's RFs, handle uncertain information effectively and obtain objective importance of RFs.

Originality/value

Theoretically, the paper develops a customer-oriented model based on the FKM, QFD, IVIF sets and entropy theory to prioritize RFs of SSC under uncertain environment. The model enables to integrate sustainable CRs into RFs managements and is efficient to deal with the subjectivity and conduct objective analysis to prioritize RFs. In practice, the systematic and correct RFs' priorities analysis provides reliable decision support for the managers to take measures to avoid or mitigate the critical RFs.

Keywords

Acknowledgements

The authors would like to thank the anonymous reviewers for the valuable comments and suggestions. The work was funded by the National Natural Science Foundation of China (No: 51705436), the National Science and Technology Major Project (No: 2017-I-0011-0012) and Sichuan Science and Technology Program (No: 2021JDRC0174).

Declaration of competing interest: The authors declare that there is no conflict of interest.

Citation

Xie, Y., He, L., Xiang, W., Peng, Z., Ming, X. and Goh, M. (2023), "Prioritizing risk factors in sustainable supply chain using fuzzy Kano and interval-valued intuitionistic fuzzy QFD", Kybernetes, Vol. 52 No. 8, pp. 2748-2769. https://doi.org/10.1108/K-07-2021-0642

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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