Authors: Manish Bhargava; Awadhesh Bhardwaj; A.P.S. Rathore
Addresses: Department of Mechanical Engineering, Maharishi Arvind Institute of Engineering and Technology, Sector-7, Madhyam Marg, Mansarovar, Jaipur, Rajasthan, 302020, India ' Department of Mechanical Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, 302015, India ' Department of Mechanical Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, 302015, India
Abstract: This paper elaborates the utilisation of Six-Sigma methodology in telecommunication sector. Every telecom industry is in the race of making the quantity of the customers before concentrating on the various issues related with the existing customer's results, the existing customers churn from the service provider. It is like a container having hole at the bottom. To identify the churn, a prediction model is developed using design for Six-Sigma which tells about the customers those are showing the symptoms to go out the network. For prediction, the model binary logistic regression analysis is used. The model is validated, and the accuracy of the model is analysed.
Keywords: churn; logistic regression; prediction; voice of customers; VOCs; Six-Sigma.
International Journal of Manufacturing Technology and Management, 2017 Vol.31 No.5, pp.387 - 401
Available online: 05 Dec 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article