摘要
针对整车物流服务供应商服务能力的评价问题,将整车物流企业服务能力界定为关系协调能力、物流运作能力、信息能力、客户服务成本、客户服务质量和创新能力的集合。根据物元可拓理论和理想解法的思想,定义理想模糊物元和负理想模糊物元,利用兼顾主观偏好和客观信息的综合权重赋值法,提出了基于综合权重的整车物流服务能力理想模糊物元评价方法,并对相对关联度进行比较。通过一个实际算例进行了数值演算和验证,计算结果表明该模型能根据整车物流企业的数据,有效判别整车物流企业服务能力的等级和差别。
The paper focused on how to evaluate the automobile logistics provider service capability.Firstly it systematically defined the service capability framework including relation coordination capability,logistics operation capability,information capability,customer service cost,customer service quality and development capability.According to matter element＇s extension theory and TOPSIS thought,the paper defined the concept of ideal and negative ideal fuzzy matter element.Using synthetic weights that include both subjective preference and objective information,ideal fuzzy matter element method was presented and relative correlative degree was used to evaluate finished vehicle logistics provider＇ service capability.Finally,the model was tested and verified by a numerical example.Computation result showed that the rank and difference of vehicle logistics providers service capability could be gained by using the model.
出处
《工业工程与管理》
北大核心
2011年第4期34-39,共6页
Industrial Engineering and Management
基金
国家自然科学基金资助项目(70672083)
国家自然科学基金重点项目(70832005)
教育部人文社会科学一般研究项目(10YJC63021)
关键词
整车物流
物流服务能力
综合权重
理想模糊物元
相对关联度
finished vehicle logistics
logistics service capability
synthetic weight
ideal fuzzy matter element
relative correlative degree
