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

IF 0.5 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL South African Journal of Industrial Engineering Pub Date : 2020-08-30 DOI:10.7166/31-2-2084
Caue Barros Guimaraes, J. Marques, U. Tortato
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引用次数: 3

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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农业和建筑机械中高周转率备件的需求预测:一个案例研究
由于替换零件的需求具有间歇性和季节性,传统的需求预测和库存管理模型不能适用于替换零件。因此,本研究的目的是比较目前建筑和农业机械公司使用的需求预测模型与Box-Jenkins统计模型在高周转率替换零件战略库存的情况下。结果表明,基于统计技术的库存管理方法在库存管理中具有重要意义,所提出的模型更适合于高周转率的库存控制。
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来源期刊
CiteScore
1.10
自引率
20.00%
发文量
15
审稿时长
6 weeks
期刊介绍: The South African Journal of Industrial Engineering (SAJIE) publishes articles with the emphasis on research, development and application within the fields of Industrial Engineering and Engineering and Technology Management. In this way, it aims to contribute to the further development of these fields of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry. Articles on practical applications, original research and meaningful new developments as well as state of the art surveys are encouraged.
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