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

Mohd Faaizie, Darmawan and Nur Izzati, Jamahir and Saedudin, Rd Rohmat and Shahreen, Kasim (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 (Print); 2600-7916 (Online). (Published)

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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
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Artificial neural network; Warranty cost; Computational intelligent
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 13 Nov 2020 02:22
Last Modified: 13 Nov 2020 02:22
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