Six-sigma application in tire-manufacturing company: a case study

Subject Areas : Mathematical Optimization

Vikash Gupta ¹ , Rahul Jain ² , M. L. Meena ³ , G. S. Dangayach ⁴

1 - Department of Mechanical Engineering, Malaviya National Institute of Technology, JLN Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017, India
2 - Department of Mechanical Engineering, Malaviya National Institute of Technology, JLN Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017, India
3 - Department of Mechanical Engineering, Malaviya National Institute of Technology, JLN Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017, India
4 - Department of Mechanical Engineering, Malaviya National Institute of Technology, JLN Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017, India

Received: 2020-10-06 Accepted : 2020-10-06 Published : 2018-09-01

Keywords: Developing country . Process capability . Six sigma . Tire bead,

Abstract :

Globalization, advancement of technologies, and increment in the demand of the customer change the way of doing business in the companies. To overcome these barriers, the six-sigma define–measure–analyze–improve–control (DMAIC) method is most popular and useful. This method helps to trim down the wastes and generating the potential ways of improvement in the process as well as service industries. In the current research, the DMAIC method was used for decreasing the process variations of bead splice causing wastage of material. This six-sigma DMAIC research was initiated by problem identification through voice of customer in the define step. The subsequent step constitutes of gathering the specification data of existing tire bead. This step was followed by the analysis and improvement steps, where the six-sigma quality tools such as cause–effect diagram, statistical process control, and substantial analysis of existing system were implemented for root cause identification and reduction in process variation. The process control charts were used for systematic observation and control the process. Utilizing DMAIC methodology, the standard deviation was decreased from 2.17 to 1.69. The process capability index (Cp) value was enhanced from 1.65 to 2.95 and the process performance capability index (Cpk) value was enhanced from 0.94 to 2.66. A DMAIC methodology was established that can play a key role for reducing defects in the tire-manufacturing process in India.