ارائه یک روش ترکیبی از نقشه شناختی و تحلیل پوششی داده های فازی برای بررسی تأخیرات پروژه های ساختمانی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد مهندسی صنایع، دانشگاه صنعتی ارومیه

2 دانشجوی کارشناسی ارشد مهندسی صنایع، دانشگاه صنعتی ارومیه

3 استادیار دانشکده مهندسی صنایع، دانشگاه صنعتی ارومیه

چکیده

تأخیر یکی از اتفاقات رایج در پروژه های عمرانی کشور است؛ به نحوی که شناخت عوامل تأخیرات این
پروژه ها و تعیین میزان اثرگذاری آن ها بر دستیابی به اهداف تعیین شده ضروری است. در این تحقیق سعی شده
است، شناسایی عوامل مؤثر بر تأخیر پروژه های ساختمانی با استفاده از بررسی مطالعات پیشین، اسناد پروژه ها و
نظرات خبرگان انجام گیرد. سپس، از آن جایی که عوامل نهایی شناسایی شده در واقعیت بر یکدیگر
اثرگذارند، نقشه شناختی فازی برای عوامل مؤثر بر تأخیر و عوامل سنجش یا همان اهداف مدیریت ترسیم
می گردد. سپس با استفاده از الگوریتم یادگیری ترکیبی، اثرگذاری هر عامل تأخیر بر عوامل سنجش ارزیابی
شده و با روش تحلیل پوششی داده های فازی، اولویت بندی عوامل انجام می شود. نتایج تحقیق در استان
آذربایجان غربی نشان می دهد که عوامل "ضعف فنی دستگاه نظارت در رفع مشکلات فنی و اجرایی کارگاه" ،
" عدم برآورد دقیق حجم کار، تجهیزات و زمان پروژه" و " تعدد مراکز تصمیم گیری در اجرای پروژه"
مهمترین عوامل تأخیر در پروژه ها هستند.

کلیدواژه‌ها


عنوان مقاله [English]

A hybrid method using fuzzy cognitive map- DEA to study the delays in construction projects

نویسندگان [English]

  • Samuel Yousefi 1
  • Serveh Kakaei 2
  • Mustafa Jahangoshai Rezaee 3
چکیده [English]

Delay is a common occurrence in the country's construction projects. Identifying delay factors in these projects and determining the influence of these factors is necessary to achieve the objectives of management. In this study, the effective delay factors on construction projects are identified by using previous studies, project documents and experts opinions. Since these factors affect on each other, the fuzzy cognitive map has drawn for effective factors and assessment factors or management objectives. Then, the effect of each factor on the assessment factors are evaluated by using hybrid learning algorithm and prioritization factors are done by using fuzzy data envelopment analysis. The results of the survey in West Azerbaijan province show that “supervision technical weaknesses for overcoming technical and executive workshop problems”, “inaccurate estimate of workload, required equipments and project time” and “the multiplicity of decision centers on the doing of projects” are the most important delay factors in construction projects

کلیدواژه‌ها [English]

  • Delay
  • Construction projects
  • fuzzy cognitive map
  • Fuzzy DEA. 1
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