DSM-based Knowledge Transfer Modeling Between Projects for Multi-project Clustering Analysis
Year: 2020
Editor: Harold (Mike) Stowe; Tyson R. Browning; Steven D. Eppinger; Jakob Trauer
Author: Bi, YingXin; Yang, Qing; Chang, MingXing
Series: DSM
Institution: University of Science&Technology,Beijing, China
Section: Project Management
Page(s): 9
DOI number: 10.35199/dsm2020.11
ISBN: 978-1-912254-12-5
Abstract
Overlapping is a typical feature of concurrent multi-project, while it is challenging that building interdependency relationships among all the projects in the program, especially from the view of knowledge dependency. However, knowledge transfer needs to be considered to improve concurrent multi-project management. Sharing knowledge among projects to improve the performance of multi-project is one of the important characteristics of project management. Hence, we propose a model to measure the connection strength among all the projects based on knowledge transfer. Further, taking the results of design structure matrix (DSM) as input, we suggest a two-stage clustering criterion to make projects with secure knowledge connection strength form a program. Finally, an example is provided to verify the effectiveness of the proposed model. Through the clustering of projects, it is more conducive to improving knowledge transfer among projects in the cluster, so as to shorten the time of multiple projects.
Keywords: multi-project management, knowledge transfer, design structure matrix, connection strength, clustering analysis