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A managerial decision model for environmental impact assessment in Yazd Compost Factory using the fuzzy analytic network process

Document Type : Research Paper

Authors

  • Naeimeh Hekmatnia 1

  • Azita Behbahaninia 1

  • Hasan Samadyar 2

  • Saeed Motahari 1

  1. 1 Department of Environment, RO. C., Islamic Azad University, Roudehen, Iran
  2. 2 Assist. professor, Department of Environment, Roudehen Branch, Islamic Azad University, Roudehen, Iran
DOI icon https://doi.org/10.22034/ewe.2025.539730.2051

Abstract

This study aimed to design and develop an evaluation model for sustainable management of environmental impacts in compost factories, focusing on the Yazd compost plant. The main objective is to reduce negative environmental effects and enhance sustainability performance. A mixed-methods approach (qualitative-quantitative) was adopted, utilizing fuzzy Delphi, thematic analysis, fuzzy DEMATEL, and fuzzy FANP methods. In the qualitative phase, key environmental indicators were identified through content analysis of interviews and documentation, and an initial conceptual model was developed using MAXQDA software. In the quantitative phase, relationships among indicators were examined using fuzzy DEMATEL, and prioritization was performed with fuzzy FANP. The final management model was validated by experts. The results indicate that, despite challenges such as securing raw materials and cost management, compost plants in Yazd can significantly reduce environmental impacts and improve economic conditions. To further enhance efficiency and sustainability, improvements in existing processes, increased public awareness, and supportive policies at local and provincial levels are essential. Additionally, the adoption of advanced technologies and process optimization methods can further reduce pollutants and enhance economic outcomes.

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References
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Environment and Water Engineering

Volume 11, Issue 4
March 2025

Pages 551 - 561

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  • Receive Date: 06 August 2025
  • Revise Date:
  • Accept Date:
  • Publish Date: 28 September 2025
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