International Conference on Construction and Real Estate Management 2016
Research on the Multi-Attribute Engineering Risk Factors Identification and Evaluation Index System Quantification
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
The establishment of criteria for selection, classification, and evaluation of engineering risk identification factors is the foundation of and the key to risk assessment. Approaches and methods for qualification of risk classification and of evaluation criteria are put forth in line with quantification theory (Hayashi III) on the basis of research into such qualitative analysis techniques as expert survey, questionnaire survey, literature review. The multi-attributes of engineering risk are explored from both prospective of genetic factors and influencing factors. Moreover, a method of multivariate scaling is proposed to solve the problem of valuation of reaction scale for factors of complex international projects. Furthermore, a quantified model is established of engineering risk identification factors and evaluation criteria, and computer applications are applied to solve and analyze the model, with the aim to satisfy needs of different management departments for identifying and evaluating risks.
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ACKNOWLEDGMENTS
Authors are thankful to the Tianjin Cement Industry Design & Research Institute Co., Ltd, for providing support to this research.
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Information & Authors
Information
Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1412 - 1425
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Aug 14, 2017
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