Production Planning to Meet Maximum Demand with Forecasting and Aggregation Methods

Abstract

Production carried out by small industries still needs to be improved and classified as insufficient compared to the consumer demand. The company’s production traditionally relies on sunlight in the drying process. This is the main factor in the limited production process that can be carried out. This study aims to overcome the maximum demand, which is still an obstacle for the industry to meet their demands. To overcome this, demand forecasting is carried out to determine the demand forecast in advance, and production adjustments are made to meet maximum demand with aggregate planning. Data collection techniques in this study used 1) interview methods and 2) collection of request history data. Data analysis techniques use tools, namely forecasting and aggregate methods. The stages carried out in this study are 1) identification of demand patterns, 2) quantitative forecasting calculations, 3) error analysis, and adjustment of production quantities. This study shows that the maximum consumer demand can be met by procuring supplies in preparation for peak demand.