摘要
针对复杂汽车产品质量难以量化及质量排名参差不齐的问题,综合考虑产品质量、售后服务和包含油耗、使用成本的总拥有成本等质量经济性指标,提出基于扩展VIKOR方法的汽车质量经济性综合评价模型,辅助消费者购买决策。由于评价信息多源和指标主观不确定,引入数值型、区间型及语言变量等混合类型指标量化方法;利用粗糙集属性约简删除冗余指标,确定关键影响因素,并计算熵权;通过构建混合指标欧氏距离公式和VIKOR多属性决策,得出基于综合效用值的多属性约束下的满意妥协解。案例分析验证本文模型能在消费者购车时实现智能推荐,对比是否考虑总拥有成本前后的推荐结果,可知:在不考虑使用成本情景下倾向于推荐价格便宜的产品;而在考虑使用成本等隐形损失情景下推荐高性价比的车型,更加符合购车消费者的实际情形。
Faced with the difficulty of automobile quality and chaotic rankings of vehicles,a comprehensive evaluation model on economy of quality of automobile using extended VIKOR is developed to assist car consumers in decision-making of purchasing.The economy of quality indexes including product quality,after-sales quality and total ownership cost are addressed.Due to multiple sources of evaluation information and uncertainty of certain indexes,the mixed types of indexes including crisp value,interval number and linguistic variables are introduced to the evaluation framework.The rough setbased attribute reduction technique is employed to delete the redundant criteria,which facilitates key indexes establishment.According to the European distance analysis for mixed indexes,the anti-entropy-based technique is used to obtain criteria weights,and the best vehicle alternative is recommended with the minimum group utility value.The case study verifies that the proposed method contributes to intelligent recommendation for vehicle consumers.A comparative analysis indicates that car users tend to select cheaper vehicles without considering operation cost.However,when taking the total ownership cost into account,they prefer to choose vehicles with top priority concerning economy of quality rather than cheap ones,which caters to practical scenarios.
作者
周福礼
代应
王旭
张胜男
ZHOU Fuli;DAI Ying;WANG Xu;ZHANG Shengnan(School of Economics&Management,Zhengzhou University of Light Industry,Zhengzhou 450002,China;School of Management,Chongqing University of Technology,Chongqing 400050,China;School of Mechanical Engineering and Chongqing Automotive Collaborative Innovation Center,Chongqing University,Chongqing 400044,China;Chang'an Ford Automobile Co.,Ltd.,Chongqing 401120,China)
出处
《工业工程》
北大核心
2018年第4期51-61,共11页
Industrial Engineering Journal
基金
重庆市重点产业共性关键技术创新专项资助项目(CSTC2015ZDCY-ZTZX60009)
中央高校基金资助项目(106112016CDJXZ338825)
重庆市科委重大项目资助(cstc2015yykf C60002)
