International Journal of Reliability, Risk and Safety: Theory and Application

International Journal of Reliability, Risk and Safety: Theory and Application

Identification and Prioritization of Key Factors in Blockchain-Based Resilient Supply Chain Risk Management in the Laboratory Equipment Industry

Document Type : Original Research Article

Authors
Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran
Abstract
The increasing complexity of supply chains and the importance of resilience in facing diverse risks underscore the need to examine factors affecting resilient supply chain risk management. This research aims to identify and rank these factors in the laboratory equipment industry, with a focus on blockchain technology capabilities. The research methodology combines qualitative and quantitative approaches. Initially, using the meta-synthesis method, 342 articles from reputable databases were reviewed for the period 2015 to 2024. After screening and quality assessment, 38 articles were selected for final analysis, leading to the identification of 110 indicators within 24 components and 6 main dimensions. Subsequently, using the fuzzy Delphi method and the input of 12 industry experts, the initial model was evaluated and modified, resulting in a final model with 114 indicators. Finally, using the Best-Worst Method (BWM) of multi-criteria decision-making and the opinion of eight experts, the factors were ranked. Findings revealed that "Digital Technology and Infrastructure" with a weight of 0.323 is the most important dimension, and "Existence of Technical Infrastructure and Specialized Human Resources" with a weight of 0.331 is the most important component in this dimension. "Information Management and Transparency" and "Operational Flexibility and Resilience" ranked next with weights of 0.239 and 0.177, respectively. In the Information Management and Transparency dimension, "Product Traceability and Tracking Capability" and in the Operational Flexibility and Resilience dimension, "Speed in Recovery from Disruptions and Damages" were identified as the most important components. This research provides a comprehensive framework for resilient supply chain risk management in the laboratory equipment industry and can contribute to improving strategic decision-making in this field.
Keywords
Subjects

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Volume 7, Issue 2
October 2024
Pages 79-100

  • Receive Date 10 September 2024
  • Revise Date 02 November 2024
  • Accept Date 10 December 2024