Abstract
The purpose of this study is to determine the most appropriate forecasting to predict the demand for raw materials of laundry in 2017, determine the results of the Material Requirement Planning calculation using lot permits, and to determine the total cost-efficiency of the conventional calculation method with the Material Requirement Planning method. The research method used is quantitative research, descriptive research type, and time horizon is cross-sectional for all data collection. This study uses Exponential smoothing (QM for Windows) forecasting, as an illustration, to determine the number of raw material requirements by using the analysis method, Material Requirement Planning with lot sizing measurements used are Lot for Lot, Economic Order Quantity, and Period Order Quantity. Of the three methods, the analysis results illustrate that the Lot for Lot method produces the lowest total cost of IDR. 56,160,000, compared to the total costs incurred using the company's conventional method of IDR. 175,985,288,2, So, the Material Requirement Planning method can reduce the company's inventory costs
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