Fuzzy Analytic Hierarchy Process (FAHP) for Green Supplier Selection in Indian Industries

被引：11

作者：

Deshmukh, Samadhan ^{[1
]}

Sunnapwar, Vivek ^{[2
]}

机构：

[1] NMIMS, Dept Mech Engn, Mukesh Patel Sch Technol Management & Engn, Mumbai, Maharashtra, India

[2] Lokmanya Tilak Coll Engn, Dept Mech Engn, Navi Mumbai, India

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT MANUFACTURING AND AUTOMATION (ICIMA 2018) | 2019年

关键词：

Green supplier selection; Multi-criteria decision-making (MCDM); Fuzzy analytic hierarchy process (FAHP); MODEL; AHP;

D O I：

10.1007/978-981-13-2490-1_63

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The supplier selection has a significant impact on the manufacturing industries. Selecting the best green supplier among many alternatives is a multi-criteria decision-making (MCDM) problem. This research aims to survey current green activities in supplier selection in India and to evaluate best green supplier. Various environment factors affecting in the manufacturing sectors are considered in this study. Fuzzy analytic hierarchy process (FAHP) based on Chang's extent analysis, is utilized in order to select best green supplier. The data from pairwise evaluation of all criterions are given in triangular fuzzy numbers. The uncertainties of decision problem can be dealt with, and a more effective decision can be reached. A case study is conducted to illustrate the utilization of the model for the green supplier selection problem.

引用

页码：679 / 687

页数：9

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