USULAN PENERAPAN MATERIAL REQUIREMENT PLANNING (MRP) UNTUK PENGENDALIAN PERSEDIAAN BAHAN BAKU PRODUK ANT INK (STUDI KASUS: CV. SINAR MUTIARA)
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Abstract
CV. Sinar Mutiara is a ink manufacturing manufacture of ink or paint stencil. Based on the results of the survey
in the field, the company has yet to have a method that is specialized in raw material inventory planning. In
doing raw material inventory planning begins with a sales forecast based on historical data with DES, DMA,
Liner Regression, and Quadratic. After that calculating forecasting error parameter with MAD, ME, MSE and
MAPE then selected forecasting is DMA (5X5) method. The problems that exist in the company, especially in
raw material inventory is excess stocks of raw materials of ink or paint stencil, especially for products PSN
Yellow, PSN Orange, PSN Blue and PSN Warm Red. As a result of excess stock this increased inventory costs.
To reduce inventory costs then do the planning starts from the raw materials forecasting with the method
according to the pattern of demand and select the best method based on the value of the smallest error. Then
perform the aggregate planning, disaggregate, lot sizing calculation and application of Material Requirement
Planning (MRP). With MRP implementation, the purchase of raw materials more precisely. Lot sizing
calculations using Silver Meal, Least Unit Cost (LUC), Wagner-Within Algorithm. Wagner-Within Algorithm
method produces a total cost of inventory is Rp 958.147.746 the lowest compared to other methods.
in the field, the company has yet to have a method that is specialized in raw material inventory planning. In
doing raw material inventory planning begins with a sales forecast based on historical data with DES, DMA,
Liner Regression, and Quadratic. After that calculating forecasting error parameter with MAD, ME, MSE and
MAPE then selected forecasting is DMA (5X5) method. The problems that exist in the company, especially in
raw material inventory is excess stocks of raw materials of ink or paint stencil, especially for products PSN
Yellow, PSN Orange, PSN Blue and PSN Warm Red. As a result of excess stock this increased inventory costs.
To reduce inventory costs then do the planning starts from the raw materials forecasting with the method
according to the pattern of demand and select the best method based on the value of the smallest error. Then
perform the aggregate planning, disaggregate, lot sizing calculation and application of Material Requirement
Planning (MRP). With MRP implementation, the purchase of raw materials more precisely. Lot sizing
calculations using Silver Meal, Least Unit Cost (LUC), Wagner-Within Algorithm. Wagner-Within Algorithm
method produces a total cost of inventory is Rp 958.147.746 the lowest compared to other methods.
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