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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 22 | Page No.: 5255-5259
DOI: 10.3923/jas.2013.5255.5259
Research on Simulation and Performance Evaluation of Open Source Design Process based on Multi-agent
Jin Wang, Xiaodong Zhang, Shuo Zhang and Yingzi Li

Abstract: Open source design is a new mode which is composed of many agents who spontaneously cooperate to complete product design. A process model of open source design based on multi-agent is proposed in this paper with the purpose of studying the dynamic characteristics of product evolution and the ability of design-agent in the process of product design. A set of indexes which can evaluate the process of product evolution and the ability of agent is developed, including the weight of each module, product maturity, completion time of module for each agent and development ability of the agent. The algorithms of indexes are realized and verified in the simulation program. The simulation results show that the proposed simulation approach and evaluation indexes are effective for evaluation and management of open source design.

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How to cite this article
Jin Wang, Xiaodong Zhang, Shuo Zhang and Yingzi Li, 2013. Research on Simulation and Performance Evaluation of Open Source Design Process based on Multi-agent. Journal of Applied Sciences, 13: 5255-5259.

Keywords: Open source design, performance evaluation and process simulation

REFERENCES
  • Huang, H., 2010. Analysis of the structure and evolution of an open-source community. Ph.D. Thesis, Washington State University, USA.

  • Le, Q. and J.H. Panchal, 2012. Network-based analysis of the structure and evolution of an open source software product. Proceedings of the 45th Hawaii International Conference on System Science, January 4-7, 2012, Maui, HI., USA., pp: 3436-3445.

  • Lerner, J. and J. Triole, 2002. Some simple economics of open source. J. Ind. Econ., 50: 197-234.
    CrossRef    Direct Link    

  • Li, Z.H. and N. Wang, 2012. Modeling of the dynamical mechanism of peer production based on system dynamics. Stud. Sci. Sci., 2: 232-240.
    Direct Link    

  • Rycroft, R.W. and D.E. Kash, 2004. Self-organizing innovation networks: Implications for globalization. Technovation, 2: 187-197.

  • Sarin, S. and V. Mahajan, 2001. The effect of reward structures on the performance of cross-functional product development teams. J. Market., 65: 35-53.
    CrossRef    

  • Yao, C.Z. and J.M. Yang, 2012. Evolution characteristic of peer production based on similarity link prediction. Comput. Eng., 38: 263-266.
    CrossRef    

  • Zhang, L. and S. Shi, 2009. Research on evaluation model of R & D team performance based on product development process. Science and Technology Management Research, pp: 217-219.

  • Li, Y. and Q. Guo, 2012. Study the on process performance evaluation of IT R&D team. Research of Technology Economy and Management, pp: 23-26.

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