Eni, Y., Anggraini, A., Rudi and Sudrajat, D.
Pertanika Journal of Tropical Agricultural Science, Volume 24, Issue S, June 2016
Keywords: Forecasting, Economic Order Quantity Inventory Control Reorder Point
Published on: 10 November 2016
PT. XYZ is a company which manufactures standard board. The inability to accurately predict the future leads to overstocking of commodities. This research aims to help PT. XYZ to determine the most accurate forecasting method. Using the Economic Order Quantity (EOQ) model, it will help the company with optimal inventory management. The results show that the most accurate forecasting is Linear Regression method and the optimal order quantity of stucco is 137,805.3 kg, water is 761.58 kl, paper pulp is 64,752,12 kg, and starch is 37,600.91 kg. In conclusion, if the company adopts this model, its overall yearly profit will increase from Rp. 241.735.285.000, - to Rp. 255.315.500.000, - an increase of about 6%.
ISSN 1511-3701
e-ISSN 2231-8542