Intelligent Automation (AI): Changing the Manufacturing Environment

AI in Production

AI is utilized to generate a digital twin of processes, production lines, factories, and supply chains that are employed to emulate, assess, and forecast performance in real time.

AI is revolutionizing processes from traditional facilities to advanced plants.

It facilitates increased productivity, reduced waste, immediate responsiveness, and more intelligent design.

Present Condition & Forecast

Worldwide, the AI-in-manufacturing sector is set to expand from $4.1 billion in 2024 to over $25 billion by 2029.

In India, the use of AI in manufacturing soared from 8% to 22% within a single year (FY2024).

Data and AI have the potential to contribute $450-$500 billion to India's GDP by 2025.

Principal Uses of AI in Manufacturing

Predictive Maintenance: Lowers downtime by as much as 30% through sensor data and machine learning (McKinsey).

Quality Assurance: AI visual systems identify micro-defects instantly.

Process Optimization: AI dynamically modifies workflows to minimize waste and enhance efficiency.

Supply Chain Forecasting: Boosts flexibility and reaction time by more than 20% (IBM).

Robotics & Automation: Collaborative robots support employees in monotonous or hazardous duties, enhancing safety and efficiency.

Innovations Tailored to Specific Sectors:

Automotive: Robotics enhanced by AI optimize the processes of assembly and inspection.

Electronics: Machine vision guarantees accuracy in assembling components.

Pharmaceuticals: AI oversees extensive production and guarantees adherence to regulations.

Textiles: CAD/CAM technologies enhance cutting, sewing, and quality assessment.

Obstacles to Acceptance

Talent Gap: Demand for skill enhancement in AI and machine learning.

Integration Expenses: Significant upfront costs hinder adoption by MSMEs.

Data Governance: Issues regarding the clarity and comprehensibility of AI models.

Dependable connectivity and cloud access continue to be inconsistent, particularly in tier-2 and tier-3 cities.

Limited MSME Use: Merely around 15% of small and medium enterprises are presently utilizing AI in manufacturing.

Cautious Optimism: Approximately 44% of leaders in manufacturing are reluctant to expand generative AI because of worries regarding explainability and precision.

The government's National Program on AI (MeitY) encourages the responsible application of AI in a variety of industries, including manufacturing.

Samarth Udyog Bharat 4.0: Encourages the adoption of Industry 4.0 and the development of smart factories.

IndiaAI Mission: ₹10,300 crore has been set aside to develop local models and AI infrastructure.

Centres of Excellence (CoEs): Dedicated to AI in sustainable cities, healthcare, agriculture, and education