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  • 标题:An empirical study for ranking risk factors using linear assignment: A case study of road construction ,
  • 本地全文:下载
  • 作者:Amin Foroughi ; Mohammad Javad Esfahani
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:615-622
  • DOI:10.5267/j.msl.2011.11.007
  • 出版社:Growing Science
  • 摘要:Road construction projects are considered as the most important governmental issues since there are normally heavy investments required in such projects. There is also shortage of financial resources in governmental budget, which makes the asset allocation more challenging. One primary step in reducing the cost is to determine different risks associated with execution of such project activities. In this study, we present some important risk factors associated with road construction in two levels for a real-world case study of rail-road industry located between two cities of Esfahan and Deligan. The first group of risk factors includes the probability and the effects for various attributes including cost, time, quality and performance. The second group of risk factors includes socio-economical factors as well as political and managerial aspects. The study finds 21 main risk factors as well as 193 sub risk factors. The factors are ranked using groups decision-making method called linear assignment. The preliminary results indicate that the road construction projects could finish faster with better outcome should we carefully consider risk factors and attempt to reduce their impacts.
  • 关键词:Linear assignment; Group decision making; Risk analysis; PMBOK
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