How Advanced Testing Systems are Transforming Product Innovation

In an interaction with Industry Outlook, Rakesh Kumar, Managing Director of MTS India, discusses the role of advanced testing systems in improving the quality, safety, and compliance of vehicles in the face of both global and domestic regulations. He’s highlighting how new testing systems help Indian automakers stay competitive and reduce the time and cost of testing by ensuring their vehicles meet the evolving safety standards of the market.

With Indian industries focusing on safety and precision, how are advanced testing systems improving complaints with evolving global and domestic regulations?

Advanced testing systems play a crucial role in the Indian industry mainly because of the evolving global and domestic regulations. This technology ensures high precision and reliability in product testing, which is essential for stringent regulatory standards because now both internationally and domestically standards are increasing and evolving daily. Many Indian companies are trying to build their portfolio for the global market, ensuring their product meets global quality safety benchmarks and facilitating their entry into the global market.

In sectors like manufacturing, the advanced testing solution helps to meet the compliance with t sustainability, global trade and the safety regulation. Advanced testing system supports the efforts by providing reliable data on product compliance providing a helping hand for the business growth enabling the industry to enhance their decision, reliability, and compliance with evolving regulations. 

 As Indian automakers push for better class safety, How testing solutions help optimize vehicle structures while reducing prototypes cost?

Indian automakers are leveraging the advanced testing solution, enhancing their grass safety optimizing vacant structures, and reducing the prototype cost. A few of the additions are CAE and simulation. Computer Aided Engineering (CAE) and Simulation these tools are extensively used for analyzing the vehicle structure and the various class conditions which also help in predicting the material structure and how it behaves. So, both engineers and design engineers get a free notion of the material and the structure that is being used in the automotive to define their conditions.

The second one is Finite Element Analysis, a critical component of mass safety testing that enables a detailed analysis of how different materials and the structure components will react under task conditions. The third is 3D printing and rapid prototyping; prototyping takes a lot of time in the normal automotive industry, but now with the new technology of 3D printing and rapid prototyping, helps to reduce the cost and the time associated with the traditional prototype methodology.

They are used to enhance the crust creditworthiness of the product and also reduce the weight of the vehicle. Accurate testing ensures these materials perform as expected in real-world class conditions. A lot of Indian automotive companies are also exporting vehicles, so they need to integrate the global safety standards for the European Nuclear Assessment Program, Euro NCAP, and Bharat NCAP.

Material fatigue remains a key concern in manufacturing. How modern texting technologies enable real time durability assessment to enhance product lifestyle?

Non Destructive Testing (NDT), NDT methods are used for ultrasonic testing, radiography, and MPI, which allows for examining the material and components without causing damage. This technique defects, flaws, and weaknesses in the material at an early stage, which helps them to design the product more durable, without compromising on the integrity of the material and the components. Some of the other things now are being produced, which is like a real-time monitoring system. So, the advanced sensors in IoT are now being integrated into the manufacturing process mainly to provide continuous and real-time monitoring of material fatigue and critical parameters.

The company wants to know in advance how the behavior of the manufacturing process is, resulting in. So this can detect early signs of wear and tear, allowing them timely maintenance and reducing the risk of unexpected failures. Apart from this, other tools are being used in the industry, such as predictive analysis and machine learning. Machine learning is now very extensively being used, by leveraging predictive analysis, machine learning along with the manufactured data from real-time monitoring systems. 

Life cycle assessment is a major part of the process where it helps manufacturers evaluate the environmental and economic impact of a product throughout its life cycle, by not just designing the product and manufacturing the product, but also evaluating the environmental and economic impact of the product throughout the life cycle.

With the rapid R&D expansion in India, how are simulation-based testing solutions reducing time-to-market and improving cost efficiency for manufacturers? 

The simulation based testing solutions are significantly reducing time to market and improving cost efficiency for manufacturing India. The most critical part is time to market, now in the competitive world every manufacturer wants their time to market has to be minimal to get the advantage on the first move advantage.

There are a few models that are being used for reducing time to market like virtual prototyping, it’s like the simulation technologies that enable manufacturers to create a virtual prototype of their product, allowing them to test and refine design without the need for a physical prototype. Then refine the design based on analysis results, which reduces the overall time and cost involved in the prototype. Predictive analysis can anticipate potential issues and optimize the production design which reduces the costly error and rework ensuring a smoother and faster transition from design to market.

Lean manufacturing techniques focuses on the simulation based testing, supporting lean manufacturing principles by identifying inefficiency and optimizing the process. This process leads to reducing waste, improving resource utilization, and lowering the production cost. Simulation tools facilitate better collaboration with R&D team, allowing being more efficient setting of data and insight. 

This overall cost efficiency translates into more competitive pricing and higher profitability of the product. So these simulations based testing, helps Indian manufacturers to bring product to the market faster and more cost effectively.

AI and automation are transforming testing, how Indian industry is integrating predictive analytics to enhance accuracy, scalability, and speed in validation processes?

The predictive analysis controls the vast amount of data to identify the pattern and predict outcome with high accuracy. By mixing, the AI industry can endlessly learn from new data, improving the precision of the companies validation process which helps to enhance accuracy and scalability. On scalability AI and automation can handle large volumes of data and perform complex analysis which reduces the overall time involved in this.

It significantly speeds up the validation process, and automated testing setup can run multiple tests simultaneously and provide real time feedback. This rapid validation cycle helped the industry to market faster and maintains a measurable edge. AI also helps in cost efficiency, customization, flexibility and improved decision making. 

 How will advancements in AI-driven testing and digital twins revolutionize product innovation and competitive advantage for Indian manufacturers?

We all are living in the era of AI and it has become a part of our day-to-day life providing services in every sector.  AI-driven tests allow for rapid prototyping and iterative design improvement, so we can do multiple iterations of the designs by simulating various scenarios. AI can provide a helping hand in reducing time to market and ensuring high-quality digital prints provide a virtual environment to test and optimize products before the physical production minimizing the errors and accelerating innovation.

Digital twins combine with AI to enable the real-time monitoring and predictive maintenance of the production equipment, optimizing the manufacturing process by providing retail insight into production workflows. It also gives a competitive advantage, where the adoption of AI-driven testing and digital brands provides a significant competitive edge by enabling faster innovation cycles, higher product quality, and more efficient operations.

The future of Indian manufacturing lies in its ability to innovate quickly and efficiently, ensuring products meet international safety standards while maintaining competitive pricing. As the Indian industry continues to expand its capabilities, the integration of advanced testing technologies will be a key to the business success.