Abstract:
This research discusses about designing new inventory planning for PT. Ob
especially for skin care A. It begins with observation regarding to the material
availability and current forecasting data from enterprise resource planning which
cause material overstock. The core value of this research is to determine the best
inventory planning by using total cost as the parameter. Since the plotting data of
this problem shows trend and seasonal, time series is chosen as a proposed forecast
method which can solve any pattern behavior of the data with high accuracy. The
selected time series model will be used to forecast skin care A demand for several
periods ahead. EOQ approach is used to calculate the optimum order quantity,
reorder point, safety stock, and total cost that incurred in the inventory. The result
of this research shows that the proposed forecast method successfully reduce the
forecast error by 10%, and the inventory planning can reduce the total inventory
cost from USD 972,522 to USD 815,596 or by 16,14%.
