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Erschienen in: Cluster Computing 2/2017

18.04.2017

The research of organization optimization and overall control mechanism in multi-projects network

verfasst von: Lin Yang, Mengping Zhang

Erschienen in: Cluster Computing | Ausgabe 2/2017

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Abstract

Construction multi-projects achieve the project objective relies on the overall control ability. Multi-projects construction organized by various units corresponds to the social relationship and position which has a lot of significant network features. Social network analysis (SNA), based on the background of the relationship and position, is put forward. In view of these features exist on construction organization, the study proposed SNA to build a network model of a practical multi-project case—Wuhan Metro Line 2, which located in Wuhan, China. In this case, to process questionnaire surveys firstly and then build the network model according to the SNA method. Then to analyze its network structures and relational parameters on the basis of SNA characteristics. There have three key parameters including the network structural quantification indexes, structural form index and correlation index. By means of the parameters calculations, the overall control ability can be estimated. The reliability and validity analysis is an important step to estimate overall control ability. Next, optimize the organization model through three assumptions, simulate the whole process in construction and inspect the control degree by relationship matrices. This paper presents a comprehensive analysis of the organization network based on the SNA model and provides a guide to measure overall control ability in the multi-projects organization. The research can be used as a stepping stone to help owners of multi-project to make a decision on organization overall control.

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Metadaten
Titel
The research of organization optimization and overall control mechanism in multi-projects network
verfasst von
Lin Yang
Mengping Zhang
Publikationsdatum
18.04.2017
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 2/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0856-x

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