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.
