Raw material control is a critical factor in a company to fulfill the production requirement and cost. This research aims to identify company function in keeping the relationship among suppliers and also to formulate efficient raw material management. The company cooperates with several suppliers as "partners" that integrated and classified on raw material procurement. The classification of raw materials in 2016 and 2017 using the ABC method showed that the raw materials categorize as class A (have a large useful value). The forecasting error of raw materials was compared with quadratic, linear, moving average, and double exponential smoothing methods. There were four types of raw materials that have a smaller forecast than a company method for the year 2016 and one type for raw material in 2017. There was one material that has an optimal Q negative because of its negative function. The total costs incurred were mostly lower if using company methods, and so it could be concluded that the company fulfilled the efficiency level. The buffer stock calculation could be used as a guide for companies to handle weekly raw material requirements in order to avoid out of stock.
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