Abstract
Supplier selection in a manufacturing system is highly complex due to the stochastic nature and structure of organizations, thereby necessitating a paradigm shift from the rule of thumb and classical methods of supplier selection to a reliable technique, using the hybrid algorithm to provide higher accuracy in the selection process. Hence, this study proposes the use of hybrid computational intelligence technique, Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for effective prediction and sustainable selection of suppliers (SSS). 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 reliable prediction of the creative model. Professionals and business managers will benefit greatly from SSS in an in-bound and out-bound supply chain system.