Vol 4 , Issue 2 , April - June 2016 | Pages: 96-99 | Research Paper
Received: April 02, 2016 | Revised: May 20, 2016 | Accepted: May 28, 2016 | Published Online: June 15, 2016
Author Details
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Forecasting accuracy drives the performance of inventory management. This study involves forecasting the sales of PV modules of a solar panel manufacturing company by demand forecasting methods including regression and exponential smoothing models. Demand forecasted is used to control inventory, minimize cost of ordering and holding inventory. The model should propose a viable economic order quantity which reduces the total cost of the plan.
Keywords
Forecasting; Economic Order Quantity; Inventory Cost