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title

Integration of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for Supplier Selection

Author(s):

Josy George

Keywords:

Supplier Selection, Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Multiple Criteria Decision Making (MCDM)

Abstract

Most decision-making problems can be considered as multiple criteria decision making (MCDM) problems and should be solved by different MCDM method. The main advantage of MCDM is that it can give managers many dimensions to consider related elements and evaluate all possible options under variable degrees. In the paper work multi criteria decision making (MCDM) methods are used such as SAW method and TOPSIS method. The Simple Additive Weighting (SAW) method is an easy-to-use technique. It can analyze cases based on the criteria used. The use of criteria values in this approach has an unlimited amount. The more criteria used, the higher the accuracy of the results obtained. The alternatives are ranked based on their relative closeness to the ideal solution. The TOPSIS technique is helpful for decision makers to structure the problems to be solved, conduct analyses, comparisons and ranking of the alternatives. To understand the hybridization a numerical example is solved with propose method.

Other Details

Paper ID: IJSARTV
Published in: Volume : 4, Issue : 8
Publication Date: 8/4/2018

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