International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 75 - Number 11 |
Year of Publication: 2013 |
Authors: B. Vasumathi, A. Saradha |
10.5120/13154-0805 |
B. Vasumathi, A. Saradha . Forecasting Intermittent Demand for Spare Parts. International Journal of Computer Applications. 75, 11 ( August 2013), 12-16. DOI=10.5120/13154-0805
Croston (1972) [2] presented an idea and method to separate ordinary exponential smoothing in two parts;In the time between demand, or withdrawals, and demand size. The idea with the modification in Levén and Segerstedt (2004) [3] is that time between demand and demand size is not independent. But this modification has shown poor results. Therefore Wallström and Segerstedt (2010) [8] suggest another modification, "forward coverage". By applying moving average of past two months demands to "forward Coverage" (Wallström and Segerstedt (2010)) [8] method, shows that the new one produces better forecast, if the time between demands and demanded quantity are not independent. The different techniques are compared Mean Squared Error (MSE).