An Automated Production Planning and Control Device

Abstract

To remain competitive, there is a need for production companies to maximize their profit. To
achieve this, they need an automatic system that can predict future productivity based on their
current production capacity, plan the materials, and schedule the production, thus the need for
an Automated Production Planning and Control Device (APPCD). This innovative research
presents the activities carried out in the design development and implementation of an APPCD
applicable to manufacturing organizations, using a textile company in Nigeria for
practicability. The control device system is designed to handle the forecast, material planning
product-mix scheduling and scheduling of production planning and control. The design
methodology adopted was the Structured System Analysis and Design Method. The design was
achieved using PHP language and MySQL as the database file. Time series forecasting
principle was adopted using a hybrid model of Seasonal Auto-Regressive Integrated Moving
Average (SARIMA) and Long Short-Term Memory (LSTM) network. The novelty of this
innovative research is that the developed system can provide both visual and audio display of
a real-time feedback on the raw material inventory, automated monitoring and forecasting of
the production, a real-time production level display and effectively schedule the product-mix.
The feedback of the system was tested on two case studies and the results showed reduction in
both delivery dates on customers‟ orders and processing time of the system. The productivity
increase was calculated to be at 1.32 meters-per-unit production, and the efficiency of the
system was evaluated at 79.8%. The developed system not only saves time but also produces
efficient results with increased productivity.