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Forecasting Techniques for Sales of Spare Parts

Publication Type : Journal Article

Publisher : International Journal of Recent Technology and Engineering

Source : International Journal of Recent Technology and Engineering, Volume 8, Number 3, p.27–30 (2019)

Url : https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3863098319.pdf

Keywords : ARIMA forecasting I, spare part sales, Time series forecasting

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2019

Abstract : Abstract: Forecasting plays a significant role in planning the future activities of an organization. An effective trade-off is achieved between inventory management and catering demands through an accurate forecast. A detailed study on procurement and planning processes has been conducted in this study. The need for a decision making statistical tool to forecast sales data of spare parts is the main area of focus. Spare part sales pattern remains to be undetermined as it does not follow a specific trend or seasonality. Statistical programming has been performed using ‘R Studio’ to analyse the monthly sales performance. The process is found to improve when a weekly order inflow is considered. ARIMA model is found to improve the accuracy of forecast by 40 percent. Also, accuracy of forecasting performed considering weekly order inflow was higher than that obtained by considering monthly inflow.

Cite this Research Publication : A. M. Saravanan, Dr. Anbuudayasankar S. P., and P David, A. William, “Forecasting Techniques for Sales of Spare Parts”, International Journal of Recent Technology and Engineering, vol. 8, pp. 27–30, 2019.

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