A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization
Supplier evaluation and selection is critical for schools to save costs. Supplier evaluation indexes must be developed before evaluation. In addition, how to select the most appropriate supplier and make the best procurement decision are also important topics. This study selected three most importan...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/5241710 |
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| author | Chun-Tsai Lin |
| author_facet | Chun-Tsai Lin |
| author_sort | Chun-Tsai Lin |
| collection | DOAJ |
| description | Supplier evaluation and selection is critical for schools to save costs. Supplier evaluation indexes must be developed before evaluation. In addition, how to select the most appropriate supplier and make the best procurement decision are also important topics. This study selected three most important supplier evaluation and selection criteria and established a supplier evaluation model through fuzzy logic inference using MATLAΒ. This method can overcome the defects in some methodologies and improve organizational capability and competitiveness. This model can also be used to address practical supplier evaluation and selection matters. Modelling took several steps, including fuzzification, fuzzy rule base, fuzzy inference engine, and defuzzification. Then, a supplier evaluation model was established based on the fuzzy rules obtained from the abovementioned operations. This model can provide a basis for school purchasers or managers in executing supplier selection policies in the future. |
| format | Article |
| id | doaj-art-829f35d010e84add918643d6ed4a447a |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-829f35d010e84add918643d6ed4a447a2025-02-03T01:25:41ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/52417105241710A Base on Fuzzy Theory to Supplier Evaluation and Selection OptimizationChun-Tsai Lin0Department of Food & Beverage Management, Cheng Shiu University, Kaohsiung, TaiwanSupplier evaluation and selection is critical for schools to save costs. Supplier evaluation indexes must be developed before evaluation. In addition, how to select the most appropriate supplier and make the best procurement decision are also important topics. This study selected three most important supplier evaluation and selection criteria and established a supplier evaluation model through fuzzy logic inference using MATLAΒ. This method can overcome the defects in some methodologies and improve organizational capability and competitiveness. This model can also be used to address practical supplier evaluation and selection matters. Modelling took several steps, including fuzzification, fuzzy rule base, fuzzy inference engine, and defuzzification. Then, a supplier evaluation model was established based on the fuzzy rules obtained from the abovementioned operations. This model can provide a basis for school purchasers or managers in executing supplier selection policies in the future.http://dx.doi.org/10.1155/2020/5241710 |
| spellingShingle | Chun-Tsai Lin A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization Discrete Dynamics in Nature and Society |
| title | A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization |
| title_full | A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization |
| title_fullStr | A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization |
| title_full_unstemmed | A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization |
| title_short | A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization |
| title_sort | base on fuzzy theory to supplier evaluation and selection optimization |
| url | http://dx.doi.org/10.1155/2020/5241710 |
| work_keys_str_mv | AT chuntsailin abaseonfuzzytheorytosupplierevaluationandselectionoptimization AT chuntsailin baseonfuzzytheorytosupplierevaluationandselectionoptimization |