A Study of the Classification of Lean Management Tools in Manufacturing Enterprises Based on Fuzzy Clustering Analysis

doi:10.3969/j.issn.1007-7375.e17-2041

Abstract

Abstract: The success rate of lean management in manufacturing enterprises is relatively low. One of the main reasons is that the choice of lean tools is not matched with the lean management implementation stage. Based on the summary and analysis of various lean management tools in domestic and foreign research and practice, the different attributes of different tools are analyzed, and a multi-level evaluation index system established according to their attributes. Through the evaluation of the characteristic attribute of each tool in the lean management implementation, the characteristic matrix of the response is obtained, and then the fuzzy clustering analysis method is used to get the lean management tool set which matches the implementation stage of lean management. At the same time, the principle of using the tool set is discussed according to the similarity degree of the characteristic attribute between the tools. Taking two manufacturing enterprises for example, the implementation steps of the method are described in detail, and the implementation effect is tracked and verified, which provides decision support for the manufacturing enterprises to select the lean management tools in the lean management promotion.

Key words: manufacturing enterprises, lean management, fuzzy clustering, tools category

CLC Number:

F273

NIU Zhanwen, YANG Fudong, JING Shuwei. A Study of the Classification of Lean Management Tools in Manufacturing Enterprises Based on Fuzzy Clustering Analysis[J]. Industrial Engineering Journal , 2017, 20(4): 1-10.

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