Effects of participative management on the performance of software development teams
SIGCPR '94 Proceedings of the 1994 computer personnel research conference on Reinventing IS : managing information technology in changing organizations: managing information technology in changing organizations
Reengineering of design and manufacturing processes
Computers and Industrial Engineering
Identifying controlling features of engineering design iteration
Management Science
A predictive model of sequential iteration in engineering design
Management Science
Re-engineering of the design process for concurrent engineering
Computers and Industrial Engineering
Clustering Algorithms
Formalisation and use of competencies for industrial performance optimisation: A survey
Computers in Industry
An integrated information system for product design planning
Expert Systems with Applications: An International Journal
Analysis of organizational dependency for urbanism of information systems
International Journal of Computer Integrated Manufacturing
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
Research on the dynamics mechanism and simulation of product development complex system
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Identifying critical features of complex systems under prior known conditions
Computers and Industrial Engineering
A process simulation based method for scheduling product design change propagation
Advanced Engineering Informatics
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In concurrent engineering, project tasks generally involve the establishment of multifunctional teams in which team members from different functional departments interact in every phase of development tasks to design the products and processes concurrently. However, the increasing complexity of product development and design process often come up with large interdependent task groups due to the nature of the concurrent strategy. The large size of interdependent task groups makes it difficult for team organization and thus delays the project completion. This calls for the intention of this research to develop an effective model to: (1) transform the binary task relationships into the quantifiable task coupling strengths; and (2) to decompose the large interdependent task group into smaller and manageable sub-groups. Design structure matrix (DSM), analytic hierarchy process and cluster analysis are used to represent task relationships, quantify task couplings and decompose large size of task groups. Clustering performance between numerical DSM versus binary DSM is evaluated using a simulation experiment. The experimental results show that the clustering performance of using numerical DSM is better than the use of binary DSM. The effectiveness of this model is then demonstrated by an illustrative example. The result shows that our proposed model is capable of decomposing the large coupling task group that helps team organization for concurrent engineering project.