Recent Development of Automation in Vehicle Manufacturing Industries
Amith A Kulkarni1, Dhanush P2, Chetan B S3, Thamme Gowda C S4, Prashant Kumar Shrivastava5
1Amith A Kulkarni, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
2Dhanush P, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
3Chetan B S, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
4Thamme Gowda C S, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
5Prashant Kumar Shrivastava, Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 410-413 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F10830486S419/19©BEIESP | DOI: 10.35940/ijitee.F1083.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the application of automation in different areas of motor vehicle manufacturing industry such as; robotic wheel loading, defect tracking in process, automated machine adjustment and restructuring, decision making, multi arm operation, final assembly and most important safety feature. In this work explore the present automation application and also find out the better way to implement in future to minimize the human efforts and time. These technologies based on the automation and artificial intelligence that will helps to make the process more efficient, stable and flexible. Moreover, aspects of changeability and adaptiveness of automation system have to be considered. The aim of this study to identified the opportunities and scope for future research trend in the field of automobile industries.
Keywords: Automation, Robotics, Artificial Intelligence.
Scope of the Article: Mechanical Maintenance