Improvement Analysis of Production Planning and Control System

Abstract

This study is of serious concern to increase the productivity and efficiency of the Ethiopian pulp and paper manufacturing company. The goal of this work is therefore to discover the problems that lead to poor company production planning and control systems. Methods used to gather and interpret data by observations, interviews, questionnaires and reports are then defined using Pareto analysis and fish-bone diagram methods such as labor efficiency and machine usage, energy costs, turnover of workers, production planning and control structure, delivery date results, maintenance costs, low demand, and resource estimation, bottleneck, Poor production schedule, capacity estimate, downtime, capacity planning, master production schedule, demand forecasting, and overall production planning. Research findings, therefore, indicate that Capacity Planning, Master Production Schedules, Demand Forecasting, and Aggregate Production Planning are some of the key issues leading to poor capacity planning. The study concludes that the model to improve the company's production monitoring and scheduling related problems has been established and increased productivity by 85 percent.