Paper Information

Journal:   PRODUCTION AND OPERATIONS MANAGEMENT   fall 2018-winter 2019 , Volume 9 , Number 2 (17) #p00523; Page(s) 37 To 56.
 
Paper: 

Warranty Policy Determination using Data-Mining Association Rules (Case study: Electronic Facilities Company)

 
 
Author(s):  FAZLI SAFAR*, Jamaati Tafti Reyhaneh
 
* imam Khomeini International University, Qazvin, Iran
 
Abstract: 
Nowadays, varieties of warranties are presented by manufacturers. Improving the warranty policy imposes some costs on the producers. As a result, one needs to rely on factual and reliable data as well as the data on defects and repair when it comes to making warranty policy. To this end, this study uses data mining method. That is, an electronic equipment company's warranty data including 3500 defects reports within a 5-year period sample were mined, using association rules. This yielded significant patterns based on the data. Out of total derived rules and patterns, some rules describe the associations between the products and their defects and repairs better than others. So, having these information, we could determine the warranty policy for 24 products. The findings of this study can reduce warranty costs via optimization of warranty policies decisions.
 
Keyword(s): Data-mining,Warranty data,Warranty Policy,Association Rules,Warranty
 
References: 
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