Optimization of R&D project partner selection for complex product systems

Abstract

Abstract: Partner selection is one of the critical success factors of a complex product system (CoPS) R&D project. Factors influencing partner selection in the current literature were summarized and four factors were selected for consequent analysis, namely expenditure, time, risk and synergies among partners. A multi-objective integer programming model was proposed to formulate the decision-making process of partner selection. The objective is to search for an optimal combination of partners for sub-projects in order to reduce the risk of project failure and to minimize the overall project cost and tardiness penalty. A genetic algorithm was proposed to solve the mathematical model. An example was adopted and the computational results showed that the proposed model and the genetic algorithm are effective in selecting rational partners for CoPS projects.

Key words: complex product system, partner selection, synergy, multi-objective optimization, genetic algorithm

CLC Number:

F224.3

Shou Yongyi, Song Chunjiang. Optimization of R&D project partner selection for complex product systems[J]. Science Research Management, 2014, 35(10): 144-149.

References

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