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

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 co...

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Main Authors: Darmawan, Mohd Faaizie, Jamahir, NurIzzati, Saedudin, Rd. Rohmat, Kasim, Shahreen
Format: Article
Language:English
Published: Penerbit UTHM 2018
Subjects:
Online Access:http://eprints.uthm.edu.my/3656/
http://eprints.uthm.edu.my/3656/1/AJ%202018%20%28710%29%20Comparison%20between%20ANN%20and%20multiple%20linear%20regression%20models%20for%20prediction%20of%20warranty%20cost.pdf
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author Darmawan, Mohd Faaizie
Jamahir, NurIzzati
Saedudin, Rd. Rohmat
Kasim, Shahreen
author_facet Darmawan, Mohd Faaizie
Jamahir, NurIzzati
Saedudin, Rd. Rohmat
Kasim, Shahreen
author_sort Darmawan, Mohd Faaizie
building UTHM Institutional Repository
collection Online Access
description 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.
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spelling uthm-36562021-11-21T06:31:04Z http://eprints.uthm.edu.my/3656/ Comparison between ANN and multiple linear regression models for prediction of warranty cost Darmawan, Mohd Faaizie Jamahir, NurIzzati Saedudin, Rd. Rohmat Kasim, Shahreen TS155-194 Production management. Operations management 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. Penerbit UTHM 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/3656/1/AJ%202018%20%28710%29%20Comparison%20between%20ANN%20and%20multiple%20linear%20regression%20models%20for%20prediction%20of%20warranty%20cost.pdf 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
spellingShingle TS155-194 Production management. Operations management
Darmawan, Mohd Faaizie
Jamahir, NurIzzati
Saedudin, Rd. Rohmat
Kasim, Shahreen
Comparison between ANN and multiple linear regression models for prediction of warranty cost
title Comparison between ANN and multiple linear regression models for prediction of warranty cost
title_full Comparison between ANN and multiple linear regression models for prediction of warranty cost
title_fullStr Comparison between ANN and multiple linear regression models for prediction of warranty cost
title_full_unstemmed Comparison between ANN and multiple linear regression models for prediction of warranty cost
title_short Comparison between ANN and multiple linear regression models for prediction of warranty cost
title_sort comparison between ann and multiple linear regression models for prediction of warranty cost
topic TS155-194 Production management. Operations management
url http://eprints.uthm.edu.my/3656/
http://eprints.uthm.edu.my/3656/1/AJ%202018%20%28710%29%20Comparison%20between%20ANN%20and%20multiple%20linear%20regression%20models%20for%20prediction%20of%20warranty%20cost.pdf