نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری ، گروه مهندسی و مدیریت ساخت، دانشکده عمران، معماری و هنر، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات ،تهران ،ایران

2 استاد، گروه مدیریت پروژه و ساخت، پردیس هنرهای زیبا، دانشگاه تهران ،تهران، ایران

3 دانشیار، گروه مهندسی و مدیریت ساخت، دانشکده عمران، معماری و هنر، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات ،تهران ،ایران

چکیده

تحقیقات نشان داده‌اند که پیچیدگی ممکن است عامل مهمی در شکست یک پروژه در رسیدن به اهداف هزینه، زمان و کیفیت باشد. با آنکه در مطالعات بسیاری شاخص‌های مهم پیچیدگی پروژه‌ها شناسایی شده، اما تأثیر وزنی آنها به‌ندرت بررسی شده است. در این مقاله، ادبیات پیچیدگی پروژه برای توسعه یک چارچوب ساده و پویا بررسی شده و40 شاخص پیچیدگی در 9 فاکتور شناسایی و طبقه بندی گردید، سپس جهت ارزیابی در اختیار30 کارشناس خبره صنعتی و دو مشاور پژوهشی قرار داده شد، تا نقش هر شاخص را در پیچیدگی پروژه‌های صنعتی ارزیابی کنند. طی سه مرحلة اجرای روش دلفی این شاخص‌ها، اعتبارسنجی، وزن‌دهی ورتبه‌بندی شدند. نتایج نشان داد که شاخص‌های مربوط به فاکتور‌های پیچیدگی زمینه، محتوا و وابستگی پروژه بیشترین وزن انباشته را دارند همچنین وجود عدم قطعیت‌ و ابهام در بالا رفتن وزن هر شاخص نقش تاثیرگذاری را نشان داد. از چارچوب ارائه شده، جهت سنجش میزان پیچیدگی در 14 پروژه صنعتی استفاده شد. نتایج نشان‌دهنده سطح بالای پیچیدگی در پروژه‌های بین‌الملی در حال اجرا توسط شرکت‌های ایرانی بود. با وجود تفاوت‌ در رویکرد مدیریت پیچیدگی در این پروژه‌ها، اشتراکاتی شناسایی شدند که راهکارهای پیشنهادی برای آنها می‌توانند به مدیران پروژه‌های دیگر در دست‌یابی به نتایج مثبت برای مدیریت پیچیدگی کمک کنند. مدیران پروژه با کمک نتایج این تحقیق می‌توانند چارچوبی برای سنجش مدیریت پیچیدگی در اختیار داشته باشند و به کارشناسان صنعت اجازه می‌دهد اقدام به اولویت‌بندی و تخصیص کارآمد منابع محدود خود در پروژه‌‌های پیچیده نمایند.

کلیدواژه‌ها

عنوان مقاله [English]

Development of complexity measurement framework in Iranian industrial projects using the Delphi method

نویسندگان [English]

  • omid TASA 1
  • Mahmoud Gholabchi 2
  • mehdi ravanshadnia 3

1 Ph.D. Candidate, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Professor, Department of Project and Construction Management, School of Architecture, University of Tehran, Tehran, Iran

3 Associate professor, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

چکیده [English]

Research has shown that complexity may be a significant factor in a project's failure to meet cost, time, and quality goals. Although important indicators of project complexity have been identified in many studies, their weight effect has yet to be investigated. This article reviewed the project complexity literature to develop a simple and dynamic framework, and 40 complexity indicators were identified and classified into nine factors. Then, they were provided to 30 industrial experts and two research consultants for evaluation to determine the role of each indicator in Evaluating the complexity of industrial projects. These indicators were validated, weighted, and ranked during the three stages of implementing the Delphi method. The results showed that the indicators related to the complexity factors of the project's context, content, and dependency have the highest accumulated weight. Also, the presence of uncertainty and ambiguity in increasing the weight of each indicator showed an influential role. The presented framework was used to measure the level of complexity in 14 industrial projects. The results showed a high level of complexity in international projects being implemented by Iranian companies. Despite the difference in complexity management approach in these projects, commonalities were identified for which the proposed solutions can help other project managers achieve positive results for complexity management. With the help of the results of this research, project managers can have a framework for measuring complexity management and allow industry experts to prioritize and efficiently allocate their limited resources in complex projects.

کلیدواژه‌ها [English]

  • The project
  • industrial project
  • complex project
  • complexity index
  • Delphi method
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