Comparison between ANN and multiple linear regression models for prediction of warranty cost

Darmawan, Mohd Faaizie and Jamahir, NurIzzati and Saedudin, Rd. Rohmat and Kasim, Shahreen (2018) Comparison between ANN and multiple linear regression models for prediction of warranty cost. International Journal of Integrated Engineering, 10 (6). pp. 193-196. ISSN 2229-838X

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Abstract

Nowadays, warranty has its own priority in business strategy for a manufacturer to protect their benefit as well as the intense competition between the manufacturers. In fact, warranty is a contract between manufacturer and buyer in which the manufacturer gives the buyer certain assurances as the condition of the property being sold. In industry, an accurate prediction of warranty costs is often counted by the manufacturer. Underestimation or overestimation of the warranty cost may have a high influence to the manufacturers. This paper presents a methodology to adapt historical maintenance warranty data with comparison between Artificial Neural Network (ANN) and multiple linear regression approach.

Item Type:	Article
Uncontrolled Keywords:	Artificial Neural Network, Warranty Cost, Computational Intelligent
Subjects:	T Technology > TS Manufactures > TS155-194 Production management. Operations management
Divisions:	Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User:	UiTM Student Praktikal
Date Deposited:	21 Nov 2021 06:31
Last Modified:	21 Nov 2021 06:31
URI:	http://eprints.uthm.edu.my/id/eprint/3656

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