| Title |
Selection Of Sustainable Supplier(S) In A Paint Manufacturing Company Using Hybrid Meta-Heuristic Algorithm |
| ID_Doc |
69984 |
| Authors |
Machesa, MGK; Tartibu, LK; Okwu, MO |
| Title |
Selection Of Sustainable Supplier(S) In A Paint Manufacturing Company Using Hybrid Meta-Heuristic Algorithm |
| Year |
2020 |
| Published |
South African Journal Of Industrial Engineering, 31, 3 |
| DOI |
10.7166/31-3-2429 |
| Abstract |
Supplier selection in a manufacturing system is highly complex owing to the nature and structure of organisations, necessitating a paradigm shift from the rule-of-thumb and classical methods of supplier selection to a reliable technique that uses a hybrid algorithm to provide greater accuracy in the selection process. This study proposes the use of a hybrid computational intelligence technique - an adaptive neuro-fuzzy inference system - for the effective identification and selection of sustainable suppliers. This hybrid modelling configuration was applied in a paint manufacturing company to select the best possible supplier. Information obtained from the company within the period of investigation was fed into the model. The result obtained shows a faster and more reliable prediction by the creative model. Professionals and business managers will benefit greatly from the selection of sustainable suppliers in an in-bound and outbound supply chain system. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000590436100003 |
| WoS Category |
Engineering, Industrial |
| Research Area |
Engineering |
| PDF |
http://sajie.journals.ac.za/pub/article/download/2429/1013
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