An improved-based TOPSIS method in interval-valued intuitionistic fuzzy environment

In supply chain management, one of the important criteria is the selection of suitable suppliers. It is the quality and the timely supply of the different items by the supplier, so that the customers are satisfied to maintain the success of a business. In this paper, we considered a fuzzy multi-obje...

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Bibliographic Details
Published in:Life cycle reliability and safety engineering Vol. 7; no. 2; pp. 81 - 88
Main Authors: Gautam, Surendra Singh, Abhishekh, Singh, Shiva Raj
Format: Journal Article
Language:English
Published: Singapore Springer Singapore 01.06.2018
Subjects:
Civil Engineering
Engineering
Mechanical Engineering
Original Research
Quality Control
Reliability
Safety and Risk
Einstein t-norm and t-conorm
Supplier selection
Hamming distance
Fuzzy multi-objective linear programming
TOPSIS
ISSN:2520-1352, 2520-1360
Online Access:Get full text
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Summary:In supply chain management, one of the important criteria is the selection of suitable suppliers. It is the quality and the timely supply of the different items by the supplier, so that the customers are satisfied to maintain the success of a business. In this paper, we considered a fuzzy multi-objective linear programming solution model for a supplier selection problem. In the model, first, the objectives and constraints are weighted using TOPSIS method; and then, using these weights, membership function for objective functions are constructed. Now, applying the membership function and weights, the multi-objective programming problem is transformed to an equivalent linear programming problem for getting the solution of the multi-criteria supplier selection problem. The proposed algorithm provides better performance results in comparison to other methods available in the literature.
ISSN:2520-1352
2520-1360
DOI:10.1007/s41872-018-0042-z