DEMAND FORECASTING FOR HIGH-TURNOVER SPARE PARTS IN AGRICULTURAL AND CONSTRUCTION MACHINES: A CASE STUDY

Caue Barros Guimaraes, Jair Mendes Marques, Ubiratã Tortato

Abstract


Conventional demand forecasting and inventory management models cannot be applied to replacement parts due to their intermittent and seasonal demand. Thus the aim of this study is to compare, in the case of the strategic stocking of high turnover replacement parts, the demand forecast model currently used by construction and agricultural machinery companies with the Box-Jenkins statistical model. The results show that it is important to use a methodology based on statistical techniques in inventory management, and that the proposed model adapts better to high turnover stock control.


Keywords


High turnover stock, Spare Parts., Demand Forecasting, Box-Jenkins Models

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DOI: https://doi.org/10.7166/31-2-2084

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Copyright (c) 2020 Caue Barros Guimaraes, Jair Mendes Marques, Ubiratã Tortato


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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