Improvement of a grey based method for supplier selection problem
Purpose: In this article, we combine this new approach based on the concepts of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate and select the best supplier. Design/methodology/approach: Supplier evaluation is a Multi-Attribute Decision-Making (MADM) problem th...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/10721/ |
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| Summary: | Purpose: In this article, we combine this new approach based on the concepts of Technique for Order Preference
by Similarity to Ideal Solution (TOPSIS) to evaluate and select the best supplier.
Design/methodology/approach: Supplier evaluation is a Multi-Attribute Decision-Making (MADM) problem
that is affected by quantitative and qualitative factors, some of which may conflict. Since most of the input
information is not known accurately, selecting the right suppliers becomes more difficult. Grey theory is one of
the new mathematical methods used to analyze systems with uncertain and incomplete information.
Findings: Through this article, it is demonstrated that the improved method, which is used to solve the MADM
problems for selecting the best supplier, is a good means of evaluation, and it appears to be more appropriate.
Practical implications: Grey theory is a new mathematical field that is one of the methods used to study the
uncertainty of a system.
Originality/value: Through this article, it was demonstrated that the improved method, which is used to solve
the MADM problems for selecting the best supplier, is a good means of evaluation, and it appears to be more
appropriate. |
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