A Systematical Framework of Schedule Risk Management for Power Grid Engineering Projects’ Sustainable Development

Rao Rao, Xingping Zhang, Zhiping Shi, Kaiyan Luo, Zhongfu Tan and Yifan Feng
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Rao Rao: School of Economics and Management, North China Electric Power University, Box 80, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Xingping Zhang: School of Economics and Management, North China Electric Power University, Box 80, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Zhiping Shi: Economic and Technology Research Institute of Northern Hebei Power Company, No. 188 North 4th Circle West Road, Feng Tai District, Beijing 100053, China
Kaiyan Luo: School of Economics and Management, North China Electric Power University, Box 80, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Zhongfu Tan: School of Economics and Management, North China Electric Power University, Box 80, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China
Yifan Feng: School of Economics and Management, North China Electric Power University, Box 80, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China

Sustainability, 2014, vol. 6, issue 10, 1-30

Abstract: Schedule risks are the main threat for high efficiency of schedule management in power grid engineering projects (PGEP). This paper aims to build a systematical framework for schedule risk management, which consists of three dimensions, including the personnel dimension, method dimension and time dimension, namely supervisory personnel, management methods and the construction process, respectively. Responsibilities of staff with varied functions are discussed in the supervisory personnel part, and six stages and their corresponding 40 key works are ensured as the time dimension. Risk identification, analysis, evaluation and prevention together formed the method dimension. Based on this framework, 222 schedule risks occur in the whole process of PGEPs are identified via questionnaires and expert interviews. Then, the relationship among each risk is figured out based on the Interpretative Structure Model (ISM) method and the impact of each risk is quantitatively assessed by establishing evaluation system. The actual practice of the proposed framework is verified through the analysis of the first stage of a PGEP. Finally, the results show that this framework of schedule risk management is meaningful for improving the efficiency of project management. It provides managers with a clearer procedure with which to conduct risk management, helps them to timely detect risks and prevent risks from occurring. It is also easy for managers to judge the influence level of each risk, so they can take actions based on the level of each risk’s severity. Overall, it is beneficial for power grid enterprises to achieve a sustainable management.

Keywords: power grid engineering project; schedule management; risk management; Interpretative Structure Model; Analytic Hierarchy Process (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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