Resumen

MACHESA, M.G.K; TARTIBU, L.K.  y  OKWU, M.O.. Selection of sustainable supplier(s) in a paint manufacturing company using hybrid meta-heuristic algorithm. S. Afr. J. Ind. Eng. [online]. 2020, vol.31, n.3, pp.13-23. ISSN 2224-7890.  http://dx.doi.org/10.7166/31-3-2429.

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.

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