Artificial Intelligence in Automotive Components Industrial Clusters at Chennai

Authors

  • Bhaskaran E
  • Harikumar Pallathadka
  • Baskara Sethupathy S

Keywords:

Precision Engineering Cluster, Integration, Artificial Intelligence, Robotics, Production Optimization.

Abstract

Chennai is also called as Detroit of India due to its automotive industry presence producing over 40 % of the India’s vehicle and components. The Automotive Component Industries (ACI) in Tirumudivakkam Industrial Estate, Chennai has faced problems on infrastructure, technology, procurement, production and marketing. Under the Cluster Development Approach (CDA), they formed Precision Engineering Clusters (PEC) with 40 MSMEs got 70% grant under Mega Cluster Scheme from Government of Tamil Nadu, 10% from Bank Loan and 20% contribution under Public Private Partnership Concept. Due to this the infrastructure, technology, procurement, production and marketing interrelationships taken place among PEC. Now the objective is to study on Integration of Artificial Intelligence and Robotics for Smart Production Optimisation in PEC. The methodology adopted is collection of primary data from 40 MSMEs and analyzing using Artificial Intelligence Technics Models and secondary data from Government of India and Tamil Nadu websites. To conclude Critical gaps in the PEC are identified and using Common Facility Centre like design, product development, testing and standardization the MSMEs in PEC is able to reduce the service charges by using latest machineries in the CFC when compared to Market Service Charge which is exorbitant and individual MSMEs are unable to use with private players. For better utilization of Production optimization Moderate and Mediating Variables and various structural equation models are developed to reduce cost of production and maximize profit to compete it globally. By Integration of Artificial Intelligence and Robotics Smart Production Optimisation techniques are evolved in ACIC at Chennai. The Artificial Intelligence Business Analytics Models are developed using Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics. Government of India and Tamil policy and regulations on CDA will benefit PEC in general and individual Micro, Small and Medium Automotive Components Manufacturers at Chennai in particular. To conclude, the integration of artificial intelligence and robotics represents a transformative approach to smart production optimization in PEC at Chennai. Through continued research and innovation, stakeholders / Micro, Small and Medium Automotive Components Manufacturers can unlock new opportunities, address challenges, and drive sustainable growth in the automotive manufacturing sector at Chennai.

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Published

2024-12-23

How to Cite

Bhaskaran E, Harikumar Pallathadka, & Baskara Sethupathy S. (2024). Artificial Intelligence in Automotive Components Industrial Clusters at Chennai. International Journal of Progressive Research in Science and Engineering, 5(12), 20–27. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/1127

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Section

Articles