基于改进距离的区间直觉模糊TOPSIS算法在库存管理中的应用  

A New Distance Measure for Interval Valued Intuitionistic Fuzzy TOPSIS and Its Application to the Performance Evaluation of Inventory Management

作　　者：费红英[1] 曾明月[1] FEI Hong-ying ZENG Ming-yue(School of Management, Shanghai University, Shanghai 200444, Chin)

机构地区：[1]上海大学管理学院,上海200444

出　　处：《物流科技》2017年第5期30-33,共4页Logistics Sci-Tech

摘　　要：随着经济的发展,企业间的竞争越来越激烈,一些制造型企业将生产外包给第三方企业,以便于全力提升其核心竞争力。即使将生产外包,库存管理仍然是企业管理的重要组成部分,如何在代工厂之间进行科学有效的库存调配成为了很多企业关注的重点之一。为此,文章从成本、时间、需求特性以及代工厂的信誉度等方面构建指标体系,并且将基于改进距离的区间直觉模糊集的TOPSIS算法应用于库存管理绩效评估中,节约了库存成本,提高了工作效率,使企业资源得到了充分利用。With the development of economy, the competition among enterprises is becoming more and more fierce, some manufacturing companies tend to outsource production to third-party companies so that they can focus on promoting their core competence capability, whereas inventory, management is still an important part of enterprise management m that case. So. how to carry out scientific and effective inventory allocation among the OEMs has become one of the key issues of many enterprises. In this study, a set of key perfor- mance indicators are defined by taking into accounl the cost, time. characteristics of demands and the reputation of OEMs etc. Furthermore. a novel distance measure has been devel- oped and combined with TOPSIS method based on interval valued intuitionistic fuzzy sets to performance the evaluation of inventory management, with an objective of reducing the cost of inventory and improving the efficiency of inventory reallocation.

关 键 词：库存管理 代工厂 绩效评估 区间直觉模糊集 TOPSIS算法 

分 类 号：F253[经济管理—国民经济]