Model of Genetic Algorithm on the Task Distribution of New Product Development

Xue Hong Wang

doi:10.4028/www.scientific.net/AMM.687-691.5108

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Model of Genetic Algorithm on the Task...

Model of Genetic Algorithm on the Task Distribution of New Product Development

Abstract:

Allocation of the tasks of the new product development is the key to the efficiency of new product development. Product development process initiated in the inherent nature of its products, through the analysis of the product development process, This paper firstly researches the principle of task partition and disintegrates the development process to acquire moderate granularity and sub-task which is convenient to manage. According to the principle of task group, we establish the related evaluation mechanism and obtain several task groups making the model of genetic algorithm.Then, evaluate coupling mechanism about the key degree of task group and the comprehensive abilities of product development group. At last, presented is the retarder according to the model and planning which demonstrates the operability of the method.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

5108-5111

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.5108

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Online since:

November 2014

Authors:

Xue Hong Wang*

Keywords:

Coupling Mechanism, Genetic Algorithm (GA), New Product Development, Task Distribution

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* - Corresponding Author

References

[1] Zhao Y.Q. China's Equipment Manufacturing Product Development Process[J]. Productivity Research, 2009(15): 126-128.

Google Scholar

[2] Bai S. J, Wan X.B. Project Schedule Cycle Based on Design Structure Matrix[J]. System Engineering Theory and Practice, 2008(11): 51-54.

Google Scholar

[3] Meier C, Yassine A, Browning T R. Design process sequencing with competent genetic algorithms [J]. Transations of ASME, 2007(9).

Google Scholar

[4] Zhang X. D, Zhao C. C, Luo L. Evaluation and Optimization of Product Development Process Based on Multi-Agent Simulation[J]. Computer Integtated Manufacturing System, 2010(1): 121-126.

Google Scholar