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An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis

Author

Listed:
  • Madjid Tavana

    (La Salle University
    University of Paderborn)

  • Salman Nazari-Shirkouhi

    (University of Tehran)

  • Hamidreza Farzaneh Kholghabad

    (University of Tehran)

Abstract

Supplier selection for medical equipment is a major challenge for hospitals in healthcare supply chains. The primary reason for measuring medical equipment supplier efficiency is to achieve the highest level of overall performance and productivity in healthcare supply chains. This study presents an integrated quality and resilience engineering (QRE) framework for evaluating medical equipment suppliers’ performance using structural equation modeling and Z-number data envelopment analysis (Z-DEA). Noise analysis is used to select the best α-cut for the Z-DEA model, and fuzzy data are used to handle uncertainties. We show that flexibility, conformance to standards, redundancy, cost, quality certifications, and delivery time significantly affect the medical equipment suppliers’ performance. In addition, we demonstrate that the proposed integrated QRE framework is more efficient and informative than stand-alone quality engineering or resiliency engineering. We present a case study in a cardiovascular hospital to illustrate the applicability of the proposed framework for medical equipment supplier evaluation and selection. To the best of our knowledge, this is the first study to integrate QRE and Z-DEA for supplier performance evaluation in healthcare.

Suggested Citation

  • Madjid Tavana & Salman Nazari-Shirkouhi & Hamidreza Farzaneh Kholghabad, 2021. "An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis," Health Care Management Science, Springer, vol. 24(4), pages 768-785, December.
    • Handle: RePEc:kap:hcarem:v:24:y:2021:i:4:d:10.1007_s10729-021-09550-8
    DOI: 10.1007/s10729-021-09550-8
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    References listed on IDEAS

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    Cited by:

    1. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
    2. Zarrin, Mansour, 2022. "Inferring causal networks of health care resilience and safety performance indicators: A two-stage fuzzy cognitive map approach," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).

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