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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my.uthm.eprints.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 |
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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 |
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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. |
format |
Article |
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 |
title |
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_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_sort |
comparison between ann and multiple linear regression models for prediction of warranty cost |
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Penerbit UTHM |
publishDate |
2018 |
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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 http://eprints.uthm.edu.my/3656/ |
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