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Abstract
The problem for companies is to predict future production of goods based on previously recorded data. Companies produce based on orders. The production process is carried out only according to the quantity requested by customers. When there is excess production, the excess is added to inventory to meet sudden customer demand. The forecast includes the production of goods offered by the company, general business conditions, market trends and management innovations. This study aims to determine the results of the collar box lolgagge product production forecast using the moving averages and expontial smoothing methods. The more data you use to make a forecast, the more accurate the forecast. The results of this study contribute to the development of an automotive component manufacturing forecasting system. This makes it easier to determine the production of motorcycle and car spare parts next year