International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 174 - Number 31 |
Year of Publication: 2021 |
Authors: Olumide Obe, Akinyokun Oluyomi, Seriki Oluwadamilola |
10.5120/ijca2021921255 |
Olumide Obe, Akinyokun Oluyomi, Seriki Oluwadamilola . Neuro-Fuzzy based Decision Support System for Electrical Cable Production Planning. International Journal of Computer Applications. 174, 31 ( Apr 2021), 31-40. DOI=10.5120/ijca2021921255
Overtime the manufacturing industry and information technology (IT) has become intertwined as the electric cable manufacturing bears heavy expectation on IT to achieve its desired goals and commercial competitive advantage through effective and efficient production planning process. Production planning and overcoming its ensuing challenges such as high precision in predicting and meeting demand in a continuously non-stable business environment has become an evolving research area in the field of management sciences. This research therefore offers a neuro-fuzzy decision support system (DSS) for electrical cable production planning. The system consists of database of cable information and adaptive neuro-fuzzy inference system (ANFIS) module. The functionality of this system is tested and validated using preprocessed record of customer orders of Coleman Technical Industries Limited Nigeria and evaluated with standard statistical procedure. The outcome of evaluation proved the proposed system to be 90.06% accurate in predicting the production plan.