PERAMALAN PERMINTAAN DAN PERENCANAAN PENGENDALIAN PERSEDIAAN PRODUK ALASKA SCC : Untuk Meminimumkan Total Biaya Persediaan Pada PT XYZ
PT XYZ is a process industry that is engaged in the milk processing industry. The problem faced by PT XYZ is the frequent occurrence of overstock due to the difficulty of determining the number of goods that must be available in the next period because they are still forecasting based on demand in t...
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2021-07-15.
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| 260 | |c 2021-07-15. | ||
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| 520 | |a PT XYZ is a process industry that is engaged in the milk processing industry. The problem faced by PT XYZ is the frequent occurrence of overstock due to the difficulty of determining the number of goods that must be available in the next period because they are still forecasting based on demand in the previous period. This policy will result in a high risk of expiration. To reduce the error in the number of purchases used forecasting methods in this study, namely Exponential Smoothing, Multiplicative Decomposition, and Additive Decomposition. Based on the Absolute Deviation (MAD) value of the three methods, the Multiplicative Decomposition Average of All Data method is the chosen method, because it has the smallest MAD value of 9379. After selecting the forecasting method, the total cost of inventory is calculated using the lot sizing technique Least Unit Cost (LUC), Part Period Balancing (PPB), Silver Meal (SM) and Wagner Whitin (WW). Based on the results of the comparison of the four lot sizing methods, the smallest total inventory cost is Rp. 90.165.365.230,53 and savings of 10,24% against company policy using the part period balancing and silver meal methods. | ||
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