Optimizing Cost Management in Construction Projects: A Sustainability Assessment Model Using Fuzzy Inference Systems (Case Study of the Apadana Project in the Persian Gulf Petrochemical Industries Company)

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 Associate Prof., Department of Accounting, Faculty of Accounting and Finance, College of Management. University of Tehran, Tehran, Iran.

2 Prof., Department of Production and Operations Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.

3 MSC, Department of Production and Operations Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.

10.22059/imj.2025.384018.1008196

چکیده

Objective: The construction industry has been increasingly criticized for its poor sustainability performance in recent decades, creating a chance for the sector to play a key role in global sustainability efforts. Rapid technological advancements and increasing construction project complexities have driven the need for flexible, sustainability-focused project management frameworks. This study introduces a fuzzy inference system designed to evaluate construction project sustainability, built on insights from extensive literature and expert input.
Methods: To design the proposed model, the system inputs—criteria for evaluating the sustainability level of construction projects at various layers—were first identified. Next, the necessary if-then rules were developed based on expert opinions. The system output was determined in alignment with the research’s final objective. By offering a comprehensive assessment of construction project sustainability, the model enables organizations to identify their strengths and weaknesses, assess their current position, and make informed decisions to enhance their sustainable performance. 
Results: The output of the research includes a detailed analysis of the sustainability performance of construction projects. The designed model, along with its measurement tools, provides an opportunity for leaders and managers in the construction industry who are concerned about sustainability to gradually enhance their sustainability status and advance the sustainability level of projects. This model consists of three subsystems named the Direction, Execution, and Results subsystems. The aforementioned subsystems are the result of a literature review and are considered inputs to the final level of the model.
Conclusion: The designed model serves as a tool to identify and implement improvement methods and potential areas for project advancement from a sustainability perspective. By utilizing this model, the quality of project execution in line with sustainability indicators, while addressing all three dimensions—economic, social, and environmental—improves continuously and proportionately.

کلیدواژه‌ها

عنوان مقاله [English]

Optimizing Cost Management in Construction Projects: A Sustainability Assessment Model Using Fuzzy Inference Systems (Case Study of the Apadana Project in the Persian Gulf Petrochemical Industries Company)

نویسندگان [English]

  • Ali Ebrahimi Kordlar 1
  • Hossein Safari 2
  • Mohammad Rozbeh 3
1 Associate Prof., Department of Accounting, Faculty of Accounting and Finance, College of Management. University of Tehran, Tehran, Iran.
2 Prof., Department of Production and Operations Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.
3 MSC, Department of Production and Operations Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.
چکیده [English]

Objective: The construction industry has been increasingly criticized for its poor sustainability performance in recent decades, creating a chance for the sector to play a key role in global sustainability efforts. Rapid technological advancements and increasing construction project complexities have driven the need for flexible, sustainability-focused project management frameworks. This study introduces a fuzzy inference system designed to evaluate construction project sustainability, built on insights from extensive literature and expert input.
Methods: To design the proposed model, the system inputs—criteria for evaluating the sustainability level of construction projects at various layers—were first identified. Next, the necessary if-then rules were developed based on expert opinions. The system output was determined in alignment with the research’s final objective. By offering a comprehensive assessment of construction project sustainability, the model enables organizations to identify their strengths and weaknesses, assess their current position, and make informed decisions to enhance their sustainable performance. 
Results: The output of the research includes a detailed analysis of the sustainability performance of construction projects. The designed model, along with its measurement tools, provides an opportunity for leaders and managers in the construction industry who are concerned about sustainability to gradually enhance their sustainability status and advance the sustainability level of projects. This model consists of three subsystems named the Direction, Execution, and Results subsystems. The aforementioned subsystems are the result of a literature review and are considered inputs to the final level of the model.
Conclusion: The designed model serves as a tool to identify and implement improvement methods and potential areas for project advancement from a sustainability perspective. By utilizing this model, the quality of project execution in line with sustainability indicators, while addressing all three dimensions—economic, social, and environmental—improves continuously and proportionately.

کلیدواژه‌ها [English]

  • Sustainability
  • Sustainable Project Management
  • Sustainable Construction
  • Fuzzy Inference System

مراجع

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مدیریت صنعتی
دوره 17، شماره 2
1404
صفحه 84-58

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