Research on Construction Method of Optimization Model between Customer Requirements and Product Technical Characteristics Configuration

Abstract:

The degree of satisfying the customer requirements was determined by the diversity of product function and form, in order to improve the satisfaction, the mapping relation between customer requirements and technical characteristics should be analyzed to construct configuration optimization model. This paper integrated triangular fuzzy number, BP network and GA to propose a method of constructing optimization model of product technical characteristics configuration corresponding to customer requirements, the model was established based on customer transaction data history. This method acquired the information of customer requirements and preference and that of purchased products’ function and form characteristic by analyzing and extracting customer transaction information, then applied BP network to express the mapping relations between customer requirements and product technical characteristics. The optimization model took the cost and time as constraint with the customer requirements as target, finally used genetic algorithm with MATLAB to solve. The electric bicycle was taken to illustrate the build process.

• Periodical: Applied Mechanics and Materials (Volumes 55-57)
• Pages: 2139-2146
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.55-57.2139
• Online since: May 2011
• Authors: Xiao An Yang, Hao Chen, Bing Bing Wang, Xiao Hong Liu, Wei She Zhang
• Keywords: BP Network, Customer Requirement (CR), Product Technical Characteristics, Product Transaction Information, Quality Function Deployment (QFD)

References

[1] SUH N P., Axiomatic Design. New York Oxford University Press , (2001).

[2] Zhu Xin, Guo Wei, Liu Jianqin. The Mapping Method of Customer Requirements to Technical characteristics by QFD. Journal of Tianjin university, Vol. 43, No. 2 (2010), pp.174-179.

[3] Chen Feng, Ye Shiqin, Jiangyan. Research on Mapping Method of Customer Need Information in Product Family Improvement. Journal of Chongqing university, Vol. 30, No. 9 (2007), pp.144-147.

[4] Chan L. K., Kao H. P., NG A. and Wu M. L., Rating the Importance of Customer Needs in Quality Function Deployment by Fuzzy and Entropy Methods. International Journal of Production Research, Vol. 37, No. 11 (1999), p.2499–2518.

DOI: 10.1080/002075499190635

[5] Peng Anhua, Yang Ganggang. Application of AHP Based on Two-level Fuzzy Synthesis Judgments in Mechanism Selection. Journal of Engineering Design, Vol. 14, No. 4 (2007), p.278–281.

[6] Wang Meiqing, Tang Xiaoqing. Mapping Customer Requirements to Product Quality Characteristics. Chinese Journal of Mechanical Engineering, Vol. 40, No. 5 (2004), pp.136-140.

DOI: 10.3901/jme.2004.05.136

[7] Che Ada, Yang Mingshun. Quality Function Deployment Method and Application, Electronic Industry Publishing House. (2008).

[8] Chen Yizeng, Tang Jiafu, Hou Rongtao. Product Development Process Based on House of Quality. Computer Integrated Manufacturing Systems, Vol. 8, No. 10 (2002), pp.757-761.

[9] Shao X-Y., Wang Z-H., Li P-G., etc., Integrating Data Mining and Rough Set for Customer Group-based Discovery of Product Configuration Rules. International Journal of Production Research Special Issue on Data Mining and Applications. (2005).

DOI: 10.1080/00207540600675777

[10] Jian Zhaoquan. Industrial Design Methodology. Beijing Institute of Technology press, (2004).