مدل ارزیابی پیچیدگی پروژه‌های ساخت‌ و ساز بزرگ در ایران - رویکرد ANP فازی

نوع مقاله: علمی - پژوهشی

نویسندگان

1 استادیار، دانشگاه تهران

2 دانشجوی کارشناسی‌ارشد مدیریت صنعتی، دانشگاه تهران

چکیده

پروژه‌های ساخت ‌و ساز همواره پیچیده هستند. همراه با افزایش پیچیدگی پروژه‌های بزرگ ساخت ‌و ساز، مشکلات مربوط به اجرای این پروژه‌ها نیز افزایش می‌یابد. درک درستی از پیچیدگی این نوع پروژه‌ها و ارزیابی آنها از اهمیت قابل ‌توجهی برخوردار است. ارزیابی پیچیدگی پروژه می‌تواند منبعی فراهم آورد که تصمیم‌گیرندگان و مدیران مربوطه از آن بهره گیرند. فرآیند تحلیل شبکه‌ای فازی رویکردی منطقی و سیستماتیک برای شناسایی، ارزیابی و رتبه‌بندی است. این روش اجازه تحلیل سیستم‌های پیچیده و تعیین پیچیدگی سیستم‌های پروژه را می‌دهد. در این پژوهش با استفاده از فرآیند تحلیل شبکه‌ای فازی، شاخص‌های مؤثر در ایجاد پیچیدگی پروژه‌های مربوط به ساخت ‌و سازهای بزرگ در ایران شناسایی و اولویت‌بندی شده‌اند. نتایج نشان داد شاخص‌های پیچیدگی اجتماعی- سیاسی، پیچیدگی وابستگی پروژه و پیچیدگی فنی اولویت‌های اول تا سوم را دارند. همچنین سه پروژه‌ بزرگ تجاری-اداری، بیمارستانی و برج‌های بلند از لحاظ پیچیدگی مورد مقایسه قرار گرفتند و پروژه بیمارستانی پیچیده‌ترین پروژه ارزیابی شد. این مدل برای افراد حرفه‌ای در مدیریت پروژه‌های بزرگ مفید خواهد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach

نویسندگان [English]

  • Aliyeh Kazemi 1
  • Sepideh Afshari 2
1 Assistant professor, Department of industrial management, University of Tehran
2 MSc student in industrial Management, Department of industrial management, University of Tehran
چکیده [English]

Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with good source to use. Fuzzy analytic network process (ANP) is a logical and systematic approach toward defining, evaluation, and grading. This method allows for analyzing complex systems, and determining complexity of them. In this study, by taking advantage of fuzzy ANP, effective indexes for development of complications in large-scale construction projects in Iran have been determined and prioritized.
The results show socio-political, project system interdependencies, and technological complexity indexes ranked top to three. Furthermore, in comparison of three main huge projects: commercial-administrative, hospital, and skyscrapers, the hospital project had been evaluated as the most complicated. This model is beneficial for professionals in managing large-scale projects.

کلیدواژه‌ها [English]

  • Evaluation of complexity
  • project management
  • Large-scale construction projects
  • Multi attribute decision making
  • Fuzzy analytic network process

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