Application of Combination Forecasting Model in Service Parts Demand of the PC Industry

Yuanyuan Ge () and Yuan Tian ()
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Yuanyuan Ge: Beijing Jiaotong University
Yuan Tian: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 927-932 from Springer

Abstract: Abstract This paper puts forward combination-forecast model for service parts demand forecasting of PC firms, based on data analysis in the information system. The data need to collect and information system for demand forecasting is specifically designed. This paper holds the idea that correct selection of single forecasting model can improve the accuracy of the combination forecast model. Through in-depth analysis of service parts demand in PC enterprise, selecting regression analysis method based on failure rate, improved model of commercial enterprise existing prediction models, and grey prediction as single prediction model. Then, put forward the combination forecast model based on the least absolute value of error. Through the empirical analysis and verification, combination-forecasting model can improve the prediction accuracy, and can be used as spare parts demand forecasting tools.

Keywords: Service parts demand; Data analysis; Regression prediction; Grey forecast combination forecast model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_133

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DOI: 10.1007/978-3-662-43871-8_133

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