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A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain

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  • Lina He
  • Zhenyong Wu
  • Wei Xiang
  • Mark Goh
  • Zhitao Xu
  • Wenyan Song
  • Xinguo Ming
  • Xiao Wu

Abstract

Sustainable supply chain management plays an important role in company’s sustainability success. As the frequently emerging disruptions may harm supply chain’s sustainable performance, managers need to design an effective sustainable supply chain (SSC) resilience solution to mitigate different risks. In addition, it is critical to integrate customer requirements (CRs) in SSC resilience solution design as SSC’s performance is highly determined by customer satisfaction (CS) in the customer-oriented market. This article proposes an integrative approach to achieve an effective design of SSC resilience solution, taking both CRs and risk factors (RFs) into consideration. In this study, the Kano model, decision-making and trial evaluation laboratory (DEMATEL) are integrated with quality function deployment (QFD) through nonlinear programming to guide companies’ design. Kano model is employed to analyse CRs qualitatively and quantitatively to determine each CR’s priority and CS. DEMATEL is adopted to determine the RFs’ interrelationships. The results obtained with the Kano model and DEMATEL are incorporated into QFD to transform CRs into RFs, and then into resilience measures. Furthermore, a nonlinear optimisation model is formulated to achieve the optimal resilience solution with maximised CS and risk mitigation under minimum cost investment. Finally, a case study is conducted to verify the methodology.

Suggested Citation

  • Lina He & Zhenyong Wu & Wei Xiang & Mark Goh & Zhitao Xu & Wenyan Song & Xinguo Ming & Xiao Wu, 2021. "A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1714-1735, March.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:6:p:1714-1735
    DOI: 10.1080/00207543.2020.1724343
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    Cited by:

    1. Jiachen Sun & Haiyan Wang & Zhimin Cui, 2023. "Alleviating the Bauxite Maritime Supply Chain Risks through Resilient Strategies: QFD-MCDM with Intuitionistic Fuzzy Decision Approach," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    2. Amjad Hussain & Muhammad Umar Farooq & Muhammad Salman Habib & Tariq Masood & Catalin I. Pruncu, 2021. "COVID-19 Challenges: Can Industry 4.0 Technologies Help with Business Continuity?," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    3. Agarwal, Vernika & Mathiyazhagan, K. & Malhotra, Snigdha & Pimpunchat, Busayamas, 2023. "Building resilience for sustainability of MSMEs post COVID-19 outbreak: An Indian handicraft industry outlook," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    4. Neungho Han & Juneho Um, 2024. "Risk management strategy for supply chain sustainability and resilience capability," Risk Management, Palgrave Macmillan, vol. 26(2), pages 1-26, May.
    5. Miguel Reyna-Castillo & Alejandro Santiago & Salvador Ibarra Martínez & José Antonio Castán Rocha, 2022. "Social Sustainability and Resilience in Supply Chains of Latin America on COVID-19 Times: Classification Using Evolutionary Fuzzy Knowledge," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    6. Tianxiong Wang & Zhiqi Ma & Liu Yang, 2023. "Creativity and Sustainable Design of Wickerwork Handicraft Patterns Based on Artificial Intelligence," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    7. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.
    8. Chih-Hung Hsu & Xu He & Ting-Yi Zhang & An-Yuan Chang & Wan-Ling Liu & Zhi-Qiang Lin, 2022. "Enhancing Supply Chain Agility with Industry 4.0 Enablers to Mitigate Ripple Effects Based on Integrated QFD-MCDM: An Empirical Study of New Energy Materials Manufacturers," Mathematics, MDPI, vol. 10(10), pages 1-35, May.

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