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Reseach Article

Forecasting Intermittent Demand for Spare Parts

by B. Vasumathi, A. Saradha
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

@article{ 10.5120/13154-0805,
author = { B. Vasumathi, A. Saradha },
title = { Forecasting Intermittent Demand for Spare Parts },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 11 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number11/13154-0805/ },
doi = { 10.5120/13154-0805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:59.917590+05:30
%A B. Vasumathi
%A A. Saradha
%T Forecasting Intermittent Demand for Spare Parts
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 11
%P 12-16
%D 2013
%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
  1. Brown R. G. , 1959. Statistical forecasting for inventory control. New York: McGraw- Hill
  2. Croston J. D. , 1972. Forecasting and Stock Control for Intermittent Demands.
  3. Operational Research Quarterly, 42 (3), 289-303.
  4. Levén E. , Segerstedt A. , 2004. Inventory control with a modified Croston procedure and Erlang distribution. International Journal of Production Economics, 90, 361-
  5. 367.
  6. Levén E. , Segerstedt A. , 2012. Study of different variants of Croston forecasting methods: Results and Data. Working Paper Industrial Logistics, Luleå University of Technology.
  7. Montgomery D. C. , 2005. Strategic Introduction to Statistical Quality Control (5th ed. ). Hoboken, NJ: John Wiley & Sons.
  8. Syntetos A. A. , Boylan J. E. , 2001. On the bias of intermittent demand estimates.
  9. International Journal of Production Economics, 71, 457-466.
  10. Teunter, R. , Duncan, L. 2009. Forecasting intermittent demand: a comparative study.
  11. Journal of the Operational Research Society, 60, 321-329
  12. . Wallström P. , Segerstedt A. , 2010. Evaluation of forecasting error measurements and techniques for intermittent demand. International Journal of Production Economics, 128 (2), 625-636.
  13. S. Makridakis, "Accuracy measures: theoretical and practical concerns," International Journal of Forecasting, vol. 9, no. 4, pp. 527–529, 1993.
  14. P. R. Winters, "Forecasting sales by exponentially weighted moving averages," Management Science, vol. 6, pp. 324–342, 1960.
  15. L. Shenstone and R. J. Hyndman, "Stochastic models underlying Croston' method for intermittent demand forecasting," Journal of Forecasting, vol. 24, pp. 389–402, 2005.
  16. T. R. Willemain, C. N. Smart, J. H. Shockor, and P. A. DeSautels, "Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method," International Journal of Forecasting, vol. 10, no. 4, pp. 529–538, 1994.
Index Terms

Computer Science
Information Sciences

Keywords

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