Selection of Raw Materials in Textile Spinning Industry Using Fuzzy Multi-criteria Decision Making Approach

被引:30
|
作者
Majumdar, Abhijit [1 ]
机构
[1] Indian Inst Technol, Dept Text Technol, New Delhi 110016, India
关键词
Analytic hierarchy process; Cotton fibre; Multi-criteria decision making; Pairwise comparison; Textile industry; Fuzzy number; SYSTEM;
D O I
10.1007/s12221-010-0121-x
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
Selection of raw materials in textile spinning industry is a multi-criteria decision making problem. It is a decision of strategic importance as textile is a typical high volume but low profit industry. The nature of raw material selection decision in most of the cases, is very crude and unstructured. Therefore, advanced decision science techniques might be useful for solving such kind of intricate problems. The inability of common decision making methods to handle imprecision and uncertainty, make them inapt in situations which involves fuzzy information. However, fuzzy decision making techniques can elicit reasonable and logical solutions in these situations. This paper presents the use of fuzzy Analytic Hierarchy Process (AHP) to select the raw materials (cotton fibres) for the textile spinning industries. The results indicate that the fuzzy AHP can quantitatively translate the imprecise perception of the decision maker and yield better results thatnsome of the traditional raw material selection methods used in the textile industry.
引用
收藏
页码:121 / 127
页数:7
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