Research Article

Forecasting Intermittent Demand for Spare Parts

by  B. Vasumathi, A. Saradha
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Issue 11
Published: August 2013
Authors: B. Vasumathi, A. Saradha
10.5120/13154-0805
PDF

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

                        @article{ 10.5120/13154-0805,
                        author  = { B. Vasumathi,A. Saradha },
                        title   = { Forecasting Intermittent Demand for Spare Parts },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 75 },
                        number  = { 11 },
                        pages   = { 12-16 },
                        doi     = { 10.5120/13154-0805 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A B. Vasumathi
                        %A A. Saradha
                        %T Forecasting Intermittent Demand for Spare Parts%T 
                        %J International Journal of Computer Applications
                        %V 75
                        %N 11
                        %P 12-16
                        %R 10.5120/13154-0805
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

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).

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Croston's Method forward coverage irregular demand spare part service parts inventory

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