An Integrated Fuzzy Delphi–DANP Model for Prioritizing Digital Supply Chain Challenges in the Dairy Industry

Document Type : Original Article

Authors

1 Master of Science in Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.

2 Professor, Department of Operations and IT Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.

Abstract

In recent years, digitalization of supply chains has emerged as a key driver for enhancing operational efficiency, reducing costs, and improving the competitiveness of industries, particularly the dairy sector. Despite its potential benefits, successful implementation of digital transformation faces multiple managerial, knowledge-related, and technological barriers, which may delay the achievement of strategic objectives. This study aims to identify and prioritize the barriers to digital supply chain transformation in the dairy industry using a rigorous Fuzzy Delphi–DANP approach and to assess the robustness of the results through sensitivity analysis.
This research is applied and descriptive–analytical in nature. The study was conducted in three main phases: (1) extraction of key barriers through a systematic literature review and expert interviews; (2) assessment of the importance of barriers using the Fuzzy Delphi method and precise weighting via the Fuzzy DANP approach; and (3) evaluation of the robustness and reliability of the results through sensitivity analysis, which enabled examination of the impact of variations in barrier weights on the overall prioritization. This integrated methodology enhances both the accuracy and the credibility of the findings.
The findings indicate that managerial and technological barriers exert the greatest influence on the success of digital supply chain transformation. Sensitivity analysis demonstrated that changes in the weights of these barriers can affect the overall prioritization, while confirming that the proposed model maintains high robustness and reliability. Moreover, the results provide valuable insights for identifying critical barriers and formulating strategic recommendations for decision-makers in the dairy industry .

Keywords

Strategic Value Chain Management
Volume 2, Issue 2 - Serial Number 5
August 2025
Pages 117-139

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History

  • Receive Date: 16 August 2025
  • Revise Date: 21 September 2025
  • Accept Date: 24 September 2025
  • Publish Date: 23 July 2025

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