基于IMEOWA的区间型绩效信息测评方法  

Performance Measurement of Interval Data Based on IMEOWA

作　　者：周敏[1] 霍佳震[2] 

机构地区：[1]上海工程技术大学管理学院,上海201620 [2]同济大学经济与管理学院,上海200092

出　　处：《工业工程与管理》2011年第6期102-107,共6页Industrial Engineering and Management

基　　金：国家自然科学基金资助项目(71002020);上海市教委科研创新项目(12YS125)

摘　　要：在对区间数运算规则、比较与排序方法的讨论的基础上,将MEOWA(MaximumEntropy Ordered Weighted Averaging)方法扩展到区间数的评价中,提出了基于IMEOWA(Interval MEOWA)的绩效测评方法。以最大熵修正权重向量,以可能度矩阵的排序向量进行区间数排序,再利用OWA算子进行集结。结合汽车制造企业的供应链管理实践,应用上述方法进行实例研究,针对绩效波动所产生的区间型时间绩效信息,根据2个时段的测评结果分析了企业的供应链运作状况,实现了JIT生产方式下对供应链时间绩效的有效监控。This research extends the MEOWA method to the interval number field,based on the discussion of the nature,the operational rules,and the comparison methods of interval number.An evaluation method was proposed based on interval MEOWA.The maximal entropy was used to modify the weights,and a method based on possibility matrix was proposed to acquire the priority weight vector,and then the OWA Operator was used to get the final performance information.And this method was applied in one of the automobile manufacturers.Two period＇ s data of its time performance were used to analyze the status of its supply chain＇s operation.The time performance of supply chain was given to effectively monitoring the performance of supply chain under the JIT production mode.

关 键 词：绩效管理 IMEOWA 可能度 区间数排序 

分 类 号：F406.2[经济管理—产业经济]