September 12, 2019 @ 6:00 pm – 8:00 pm
SPEAKER: Radha Sampah
TOPIC: Mahalanobis Taguchi System: An Application to Employee Attrition
ABSTRACT: The Information Technology-enabled services sector is one of India’s largest growing industry with 1.2 million people placed globally. With their employees as their key asset, the industry was plagued by high levels of attrition. During 2007- ‘08 (at the time of this project) the turnover rate was at 23.5%, which is about 7.8 points higher than other industries. Reeling under high attrition, the employers were exploring various approaches to solve the employee turnover problem. This paper talks about one such approach, the Mahanalobis Taguchi System (MTS), a novel technique proposed by Genichi Taguchi for performing diagnoses and forecasting with multivariate data. The MTS was used in Profile Analysis to identify the critical parameters influencing attrition based on the historical data, and helped improve the Hiring Process quality. The results indicated that the optimized MTS attained high levels of prediction accuracy > 98% and was superior to those of the conventional pareto and regression analysis. Once the MTS was optimized it reduced the potential influencing parameters from 30 to 11 significant parameters. This facilitated the Employee Engagement team to focus on the employees who had high probability of leaving the organization and address their needs for retention. This model proved to be more stable and effectively reduced the hiring efforts for backfill, thereby improving the overall quality and service level improvement of the Business process. The MTS was also developed at the Hiring stage to predict the candidates who will stay for longer duration.
BIO: Radha Sampath is a certified Lean Six Sigma Master Black Belt with 10+ years experience in the information technology services sector across US, UK and India.
Radha has led LSS improvement projects across Telecom, Retail, Media publishing, Finance & accounts for the customer service and back office operations. Additionally she was instrumental in developing statistical models for key business problems and new ventures. She is also a Registered Coordinator for Customer Operations Performance Center (COPC) performance standard.
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