OPTIMIZATION OF CYCLE TIME IN HYUNDAI MOTORS INDIA LTD

Authors

  • Ashish Shrivastava Assistant Professor, Department of Mechanical Engineering, JECRC University, Jaipur, India
  • Vaibhav Jain Student, Department of Automobile Engineering, JECRC University, Jaipur, India
  • Tanmay Agrawal Student, Department of Mechanical Engineering, JECRC University, Jaipur, India
  • Siddhant Kunwar Student, Department of Mechanical Engineering, JECRC University, Jaipur, India

DOI:

https://doi.org/10.20319/Mijst.2016.s21.98112

Keywords:

Cycle Time, Weld Time, Squeeze Time

Abstract

This paper sheds light on the application of quality control tools to reduce Cycle time (including Weld time and Squeeze time). Successive use of these tools identifies and addresses the weakness and leads to improved processes. These tools address the problems in logical and sequential manners which are easy to observe and interpret the result. The main gist of this paper is to achieve the target cycle time of body build line. Cycle time includes process time, during which a unit is acted upon to bring it closer to an output. Every production line always has a target cycle time. With the collected data it was found that cycle time was higher than the target cycle time, so it needed to be optimized. There are lots of factors which are to be eliminated in order to achieve the target cycle time. The root cause of the factors affecting the target cycle time was observed using quality improvement tools known as the Ishikawa diagram or the ‘Fish Bone Diagram’.

References

Ajit Kumar Senapati, P. C. Mishra, B. C. Routra & Amitabha Biswas: An Extensive Literature Review on Lead Time Reduction in Inventory Control: International Journal of Engineering and Advance Technology (IJEAT), 1, August (2012), 104-111.

Aravinthan Arumugam & Abdul A Baharuddin: Effect of Force Control during Spot Welding on Weld Properties: International Journal of Scientific and Research Publications (IJSRP), 4, August (2014), 1-6.

Hiten Patel & Sanjay C. Shah: Review on Cycle Time Reduction in Manufacturing Industries: Journal of Emerging Technologies and Innovative Research (JETIR): 1, December (2014), 955-957.

K. Cooper, M. G. Keith & K. L. Macro: Lean Printing: A Pathway to Success: Pittsburgh: PIA/GATF Press, (2007).

K. Lukas & Z. Rymarski: Collection of Arc Welding Process Data: Journal of Achievements in Materials and Manufacturing Engineering (JAMME), 17, July-August (2006), 377-380.

Matsushita Muneo, Taniguchi Koichi & OI Kenji: Development of Next Generation Resistance Spot Welding Technologies Contributing to Auto Body Weight Reduction: JFE Technical Report, No. 18, March (2013), 111-117.

M. Fleischer & J. K. Liker: Concurrent Engineering (Cincinnati, OH: Hanser Gardner), (1997).

Mushtaq Patel, Praveen Singh Sisodiya, and Sajid Qureshi & Dr. Vivek Bansod: Reduction in Process Cycle Time in Mechanical Production Industries by using Eight Core Approaches: International Journal of Engineering Development and Research (IJEDR), 2, (2014), 772-778.

Neeraj Panhalkar, Ratnadeep Paul & Sam Anand: Optimization of Automobile Assembly Process to Reduce Assembly Time: Taylor & Francis: Computer-Aided Design and Applications, 11 (S1), (2014), S54-S60.

Praveen Saraswat, Deepak Kumar & Manoj Kumar Sain: Reduction of Work in Process Inventory & Production Lead Time in a Bearing Industry using Value Stream Mapping Tool: International Journal of Managing Value and Supply Chains (IJMVSC), 6, No. 2, June (2015), 27-35.

R. Huskins: Value Stream Mapping: GATF World, 19 (4), August (2007), 20-21.

R. S. Russel & B. W. Taylor: Operation Management, 2nd Edition, Prentice Hall, Upper Saddle River, NJ, (1999).

Varun Dixit & Y. P. Aggrwal: Lean & Lean Quality Tools Redefining the Product Development: International Journal of Engineering Research and Technology (IJERT), 4, June (2015), 88-90

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Published

2016-10-26

How to Cite

Shrivastava, A., Jain, V., Agrawal, T., & Kunwar, S. (2016). OPTIMIZATION OF CYCLE TIME IN HYUNDAI MOTORS INDIA LTD. MATTER: International Journal of Science and Technology, 2(1), 98–112. https://doi.org/10.20319/Mijst.2016.s21.98112