A NEURO-FUZZY MODEL DECISION SUPPORT SYSTEM FOR ELECTRICAL CABLE PRODUCTION PLANNING

Abstract

Production Planning is the administrative process that takes place within a manufacturing business which makes sure sufficient raw materials, staff and other necessary items are secured and ready to create finished products according to the schedule specified. Production Planning and overcoming its ensuing challenges has overtime become an evolving research area in the field of management sciences. The conventional system of production planning is faced with several challenges among which are; time waste, additional labour cost, inadequate process flow, additional inventory cost, inadequate use of capacity and delay in deliveries of finished goods. Advanced tools in Information Technology such as Fuzzy Logic and Artificial Neural Network have constantly helped in the area of production planning. This research therefore proposes a Neuro-Fuzzy Decision Support System for Electrical Cable Production Planning. The proposed system consists of a Database of Cable Information and Adaptive Nuero Fuzzy Inference System module. The system was implemented using MATLAB (Matrix Laboratory) and Excel Spreadsheet. The functionality of the system was tested and validated using preprocessed record of customer orders of Coleman Technical Industries Limited and also evaluated with standard statistical procedure. The outcome of evaluation proved the proposed system to be 90.06% accurate in predicting the production plan.