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

Authors

  • Caue Barros Guimaraes Engineering Studies Department, Federal University of Paraná - UFPR, Brazil
  • Jair Mendes Marques Engineering Studies Department, Federal University of Paraná - UFPR, Brazil
  • Ubiratã Tortato Business Department, Pontifical Catholic University of Paraná - PUCPR, Brazil

DOI:

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

Keywords:

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

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.

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Published

2020-08-30

How to Cite

Guimaraes, C. B., Marques, J. M., & Tortato, U. (2020). DEMAND FORECASTING FOR HIGH-TURNOVER SPARE PARTS IN AGRICULTURAL AND CONSTRUCTION MACHINES: A CASE STUDY. The South African Journal of Industrial Engineering, 31(2), 116–128. https://doi.org/10.7166/31-2-2084

Issue

Vol. 31 No. 2 (2020)

Section

Case Studies

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