Presenting a Performance Evaluation Management Model for the Domestic Supply Chain Using a Hybrid DEMATEL and Analytic Network Process (ANP) Approach.

Document Type : Original Article (Mixed)

Authors

1 Department of Public Administration, Ramh C, Islamic Azad University, Ramhormoz , Iran.

2 Department of Business Management, Ahv.C. Islamic Azad University, Ahvaz, Iran.

Abstract
The aim of the present study is to develop a performance evaluation management model for the internal supply chain using a hybrid DEMATEL and Analytic Network Process (ANP) approach. In terms of purpose, the research is applied, and regarding data collection, it is descriptive-survey in nature. The statistical population consisted of 12 experts, including 5 members from the hospital’s internal logistics unit and 7 managers from Namazi Hospital.To determine the relationships among the 13 indicators and 5 main components of the hospital’s internal supply chain, the DEMATEL method was employed. These relationships were then incorporated into the Analytic Network Process model, and the weights of the 13 indicators were determined using Super Decisions software.The 13 indicators were ranked respectively as follows: performance in completing patient treatment through access to complete treatment resources, delay-free patient treatment performance, patient waiting time, treatment service supply time, professional value-added efficiency, error-free performance in patient safety, continuity of the clinical treatment supply process, reliability and accessibility of treatment service suppliers, communication with patients, overall logistics cost management in the clinical treatment supply chain, reliability of investment and growth and revenue in the clinical treatment process, enhancement of hospital staff skills to prevent errors, and development of organizational culture.The findings indicated that the hospital’s internal supply chain has a positive, direct, and significant impact on hospital performance. The results of this study can be highly beneficial for optimal management, decision-making, and administrative practices in hospitals.

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Articles in Press, Accepted Manuscript
Available Online from 20 June 2026

  • Receive Date 06 January 2026
  • Revise Date 25 February 2026
  • Accept Date 13 April 2026