Optimization Method for Vehicle Concept Design Based on Cooperative Game Theory

Abstract

Abstract:

Abstract： Based on the QFD method and cooperative game theory, a new vehicle conceptual optimization design method for cost and customer satisfaction was proposed. First, the requirements of customers gained via market investigation were converted into technical requirements by QFD analysis, and a customer satisfaction index model was built. Second, by identifying the players and the payoff functions and grouping the players’ strategies, the multiobjectiveoptimization problem of the new product design was converted into the cooperative game theory model. Subsequently, the Shapley value method of coalitional gaming was used to calculate the optimized solution. Finally, the result obtained with the Shapley value method and that with the traditional methods were compared, and the effectiveness of the proposed method was verified.

Key words: cooperative game, quality function deployment(QFD), customer satisfaction, Shapley value

QIU Xuefeng1,ZHOU Jiangqi2,JIN Sun1,LIAN Chaochun2,CHU Guoping1. Optimization Method for Vehicle Concept Design Based on Cooperative Game Theory[J]. Journal of Shanghai Jiaotong University, 2015, 49(04): 506-512.

References

［1］宋德强, 高赛, 徐海红, 等. 汽车QFD分析［J］. 汽车工程, 1998 20(2): 108112.

SONG Deqiang, GAO Sai, XU Haihong, et al. A new approach for conceptual design of product and maintenance ［J］. Automotive Engineering, 1998, 20(2): 108112.

［2］Zhang Zaifang,Chu Xuening. A new approach for conceptual design of product and maintenance ［J］. International Journal of Computer Integrated Manufacturing, 2010, 23(7): 603618.

［3］Shin Jongho, Jun Hongbae, Kiritsis D, et al. A decision support method for product conceptual design considering product lifecycle factors and resource constraints ［J］. The International Journal of Advanced Manufacturing Technology, 2011, 52(9): 865886.

［4］Vinodh S, Gopinath Rathods. Application of ECQFD for enabling environmentally conscious ［J］. Clean Technologies and Environmental Policy, 2011,13(2): 381396.

［5］Osborne M J, Rubinstein A. A course in game theory［M］. Boston, USA: MIT Press, 1994.

［6］Song Chongzhi, Zhao Youqun, Xie Nenggang, et al. Multiobjective optimization of eightdof vehicle suspension based on game theory ［J］. Transactions of Nanjing Tniversity of Aeronautics & Astronautics, 2010, 27(2): 138147.

［7］刘光复, 刘涛, 柯庆镝, 等. 基于博弈理论及神经网络的主动再制造时间区域抉择方法研究［J］.机械工程学报,2013,49(7)：2935.

LIU Guangfu, LIU Tao, KE Qingdi, et al. Time interval DecisionMaking methods for active remanufacturing product based on game theory and neural network［J］.Journal of Mechanical Engneering, 2013, 49(7): 2935.

［8］Jin Sun, Zheng Cheng, Yu Kuigang, et al. Tolerance design optimization on costquality tradeoff using the Shapley value method ［J］. Journal of Manufacturing Systems, 2010, 29(4): 142150.

［9］郑丞, 金隼, 来新民. 基于合作博弈的公差稳健设计方法［J］. 上海交通大学学报, 2011, 45(11): 15871591.

ZHENG Cheng, JIN Sun, LAI Xinmin. Robust tolerance design method based on cooperative game［J］. Journal of Shanghai Jiaotong University, 2011, 45(11): 15871591.

［10］郑丞，金隼，来新民，等. 基于非合作博弈的公差分配优化［J］. 机械工程学报, 2009, 45(10): 159165.

ZHENG Cheng, JIN Sun, LAI Xinmin, et al. Tolerance design optimization based on noncooperative game analysis ［J］. Journal of Mechanical Engneering, 2009, 45(10): 159165.

[1]	DUAN Jia’nan, XIE Jun, XING Shanxi. A Cooperative Game Allocation Strategy for Wind-Solar-Pumped Storage-Hydrogen Multi-Stakeholder Energy System [J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 872-880.
[2]	WU Lei, HAN Dong, MAO Guijiang, LIU Wei, ZHOU Yangfei. Calculation Method of Network Usage Charge for Market-Oriented Trading in Distributed Generation Market [J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 887-898.
[3]	YANG Jingwena (杨静文), ZHANG Libina (张立彬), WANG Pinga (王萍), YAO Junfengb∗ (姚俊峰), ZHAO Xiangmob (赵祥模). Straight-Going Priority in Hierarchical Control Framework for Right-Turning Vehicle Merging Based on Cooperative Game [J]. J Shanghai Jiaotong Univ Sci, 2023, 28(1): 150-160.
[4]	WANG Zheng,CHU Xuening,CHEN Hansi,ZHANG Lei,YAN Bo1,LIU Hang. A Method for Prediction of Smartphone Performance Requirements and Perception Analysis Based on Operating Data [J]. Journal of Shanghai Jiaotong University, 2018, 52(7): 777-783.
[5]	ZHANG Tao1,2* (张涛), GU Tian-zhou3 (顾天舟), Song Xin-shuai1 (宋昕帅), GU Feng1 (顾锋). Serial Cost Allocation in the Cooperative Purchasing Organization [J]. Journal of shanghai Jiaotong University (Science), 2013, 18(6): 749-755.
[6]	ZHENG Shi-Yuan. Cost Allocation Schemes for Transportation Alliance Based on Farsighted Stability [J]. Journal of Shanghai Jiaotong University, 2013, 47(03): 500-504.
[7]	WANG Wen-Jie-a, CHEN Feng-a, b , JIANG Zhi-Bin-a, b . Cooperative Game Based Mechanisms Design in Carrier Alliance [J]. Journal of Shanghai Jiaotong University, 2011, 45(12): 1778-1781.
[8]	. Robust Tolerance Design Method Based on Cooperative Game [J]. Journal of Shanghai Jiaotong University, 2011, 45(11): 1587-1591.