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Wan Lifeng

Bio: Wan Lifeng is an academic researcher from Tianjin University. The author has contributed to research in topics: Project management & Information sharing. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.

Papers
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Proceedings ArticleDOI
06 May 2010
TL;DR: In this article, an analysis of participants' decision-making process about information sharing in rail transit projects by mathematical model and the measures should be taken into information-sharing strategy from the perspective of the entire life cycle.
Abstract: This paper gives an analysis of participants' decision-making process about information-sharing in rail transit projects by mathematical model and the measures should be taken into information-sharing strategy from the perspective of the entire life cycle. On this basis, the path for information sharing in project is put forward.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: This study established a concept for the vulnerability analysis of the network system, providing a basis for quantitative analysis of vulnerability, and implemented the FIM model, combining the geological information system ArcGIS, Java programming language, and Lingo optimization software.
Abstract: In order to identify the vulnerable links in urban natural gas pipeline network systems, this study established a concept for the vulnerability analysis of the network system, providing a basis for quantitative analysis of vulnerability. The criteria for selecting nodes in the network were determined based on the network composition. Based on the theory of disaster chain, the vulnerability factors were analyzed thoroughly, the hazard factors causing vulnerability were determined and the vulnerable parts of the network system were identified. A model for the calculation of the structural threats from the network itself was established. The first step is to identify the interdicted point of single pipeline sections through the calculation method for friction resistance loss, and the second step is to determine the key nodes with the maximum or minimum vulnerability of the entire network, thereby realizing the point-tonet analysis of the pipeline network. The FIM model was implemented, combining the geological information system ArcGIS, Java programming language, and Lingo optimization software. Using a natural gas pipeline network in Beijing as a case study, the distribution of vulnerable points in the network was plotted and the key nodes with high vulnerability were identified by analyses of vulnerability and importance.

5 citations

Journal Article
TL;DR: The article sums up the traditional selection strategic of virtual enterprise partners, gives out a new framework to confirm the evaluation indes ofVirtual enterprise partners and introduces the concept of E-Broker into the selection ofvirtual enterprise partners.

3 citations