کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
275893 1429682 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Delivery risk analysis within the context of program management using fuzzy logic and DEA: A China case study
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Delivery risk analysis within the context of program management using fuzzy logic and DEA: A China case study
چکیده انگلیسی


• A risk structure of construction program delivery has been built.
• A mixed approach to evaluate the delivery risk of program is proposed.
• DEA approach is used to evaluate the efficiency of risk response plan.
• A case study of 2010 Asian Games demonstrates that the proposed approach is effective.

The last decades witnessed an increasing number of large construction programs, which have presented a large number of extra risks in terms of management. This is due to the unique characteristics of programs compared to traditional projects. On the basis of definition of a construction program, a mixed approach was employed in this study to explore the management of delivery risk of a construction program. The main contents include (1) build a delivery risk structure for a construction program as the foundation of risk qualitative and quantitative analysis; (2) analyze risk magnitude and assess the efficiency of delivery methods by using fuzzy logic theory and DEA; (3) conduct a case study of the 2010 Guangzhou Asian Games as an example of construction programs to apply and verify the mixed delivery risk assessment approach developed in this study. The result shows that the separate contracting delivery method which was planned to be used for the 2010 Guangzhou Asian Games is not the best choice, which needs to be improved based on the principles of PM contracting and partner contracting. The mixed approach used in the case study can be employed by practitioners to select an optimal delivery method for other construction programs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Project Management - Volume 32, Issue 2, February 2014, Pages 341–349
نویسندگان
, , , , ,