Machine Uptime as a Competitive Advantage in Construction Equipment

In an exclusive interaction with Thiruamuthan, Assistant Editor at Industry Outlook, Sandeep Singh, Managing Director, Tata Hitachi Construction Machinery Company Limited, discusses how machine uptime, equipment reliability and connected technologies are shaping the construction equipment industry. He highlights the industry's shift towards greater equipment reliability and operational efficiency, alongside the growing role of technology and service capabilities in delivering long-term customer value.

Sandeep Singh is a seasoned leader with over four decades of experience across the automotive, tractor and construction equipment sectors, having held leadership positions at Mahindra, JCB, Toyota Kirloskar Motor and Tata Hitachi. He served as Deputy Managing Director and COO at Toyota Kirloskar Motor, bringing expertise in business strategy, sales, marketing and customer relationship management.

How are customers measuring the business impact of machine downtime today, and how is this changing the way they evaluate equipment beyond its upfront price?

Customer priorities in the construction equipment industry vary across three broad segments, each with distinct purchasing considerations.

The first comprises the bottom-of-the-pyramid segment, where customers are highly price-sensitive. In the entry-level and mid-sized excavator categories, around 60–70 percent of customers purchase machines for hiring purposes. Besides the initial purchase price, they consider fuel efficiency, quality, durability, reliability and resale value, as these directly affect operating costs.

The second segment comprises contractors working on infrastructure and construction projects. Their priorities are quality, durability, reliability and maintenance costs. They are willing to bear slightly higher maintenance expenses if the machine offers better performance and a longer operating life. Overall life cycle cost and resale value are their key considerations.

The third segment comprises mining customers, who primarily use machines of 50 tons and above. Fuel efficiency, durability, reliability, resale value and financing costs are important, but machine utilization and uptime are critical. While excavators of 25–30 tons used in road construction typically operate for up to 10 hours daily, mining equipment can run for 20–23 hours. Every hour of downtime can therefore affect productivity and project operations.

Ultimately, purchasing priorities depend on the application, machine category and intensity of usage. Beyond the initial price, operating costs, reliability, maintenance, resale value and uptime determine the overall value of construction equipment.

As equipment specifications become increasingly comparable, can proven machine uptime become a stronger differentiator for an OEM than price or machine specifications alone?

Machine performance is inevitably affected by operational issues and failures during its working life. In such situations, two parameters become particularly important: Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR). MTBF indicates how frequently a machine experiences a failure, while MTTR measures how quickly it can be restored to operation. Managing these two parameters effectively is critical to improving machine uptime.

To address this, we generally enter into Annual Maintenance Contracts (AMCs) and Full Maintenance Contracts (FMCs) with customers. These arrangements help us ensure that our machines remain operational for around 90 percent of the time. This is one of our core competencies, particularly in the mining segment, where we cater to machines with capacities of 50 tons and above.

The importance of uptime also varies across applications. For excavators in the 25-ton to 30-ton category, MTBF and MTTR are important, but they are not as critical as they are for higher-capacity machines used in mining. The greater the machine utilization and operational intensity, the more important uptime becomes.

How much of machine uptime is determined at the product-design stage, particularly through reliability, serviceability, and easier maintenance or component replacement?

I believe Japanese manufacturers have a distinct strength in machine design, particularly in terms of durability and reliability. Excavators in the 25-ton to 30-ton category are generally designed for 20,000 to 25,000 operating hours, while larger machines in the 50-ton to 100-ton category can have a design life of approximately 50,000 hours.

Through the remanufacturing and refurbishment of major aggregates and components, we can extend machine life to 75,000 hours or even beyond 100,000 hours. For instance, one of our EX2500 250-ton excavators operating at Tata Steel has clocked more than 120,000 operating hours through continuous refurbishment and remanufacturing under a customer agreement. Japanese machines are designed with a strong emphasis on durability and reliability and are often over-engineered to deliver longer operating lives.

Technology adoption has been more advanced in the mining segment, where harsh operating conditions make technological advancements essential for efficiency. Autonomous trucks are already operating at certain mining locations, particularly in developed markets. Advanced telematics systems are also widely used to monitor machine health, provide predictive maintenance insights, generate alerts and share component-wise performance data with customers and manufacturers. This helps identify potential issues early and improve maintenance planning.

However, technology adoption at the bottom of the pyramid remains at an early stage, with advancements largely focused on operator comfort, machine efficiency and productivity. Telematics is increasingly becoming a standard feature across equipment categories.

Electrification is gaining traction in the wheel loader segment because these machines often operate in defined locations, such as mining areas and wagon-loading sites, where charging infrastructure can be established more easily. In contrast, electrification in excavators remains limited. Although customer interest is growing, the supporting infrastructure, particularly in India, is still developing.

Compared to the global market, where does India still lag, and what should it focus on to become a global competitor in the coming years?

The Indian construction equipment industry has both advantages and challenges compared with developed global markets. India's economic conditions directly influence customer requirements and the standards manufacturers are expected to meet. For instance, India's annual per capita income is approximately $2,800, compared with $50,000 or more in countries such as the US, Australia, Japan and several European economies. These developed markets also have higher disposable incomes and stricter regulations concerning noise emissions, pollution and safety.

In India, emission standards for certain wheeled construction equipment categories have become more stringent. Backhoe loaders and wheel loaders, for instance, comply with BS V emission standards. However, regulations for higher-capacity excavators, along with noise and safety requirements, are not yet at the same level as those in developed markets.

This creates challenges for Indian manufacturers seeking to expand exports. While excavators can be exported to the Middle East and several African countries, entering markets such as the US, Japan and Europe is more difficult due to their stricter regulatory and product requirements. Meeting these standards would require specific product modifications, while sourcing the necessary components from domestic vendors could also be challenging.

Wheeled construction equipment, however, offers better export opportunities because its BS V emission standards are comparable to European requirements. Going forward, strengthening regulations, improving domestic component availability and developing products that meet global standards will be essential to making India a more competitive player in the international construction equipment market.

How can machine-health and uptime data from the field feed back into product development and help manufacturers build more reliable next-generation equipment?

All our machines are equipped with telematics systems, which allow us to collect live operational data from the field. Our higher-end machines come with a more advanced telematics platform called ConSite, while machines in the 30-ton to 35-ton category are equipped with both ConSite and Insight systems.

In addition to operational data, we gather feedback directly from customers through our Voice of Customer (VoC) initiatives. Our sales and service engineers also provide valuable feedback based on their customer interactions and field experience. We continuously monitor competitors and evaluate developments across the industry.

All this information is shared with our engineering team and becomes an important input during product design and development. We also study changing market requirements and global trends, including the shift towards higher-capacity machines. For instance, customers who previously operated 10-ton to 15-ton excavators are increasingly moving towards 20-ton and 30-ton machines to improve productivity and operational efficiency.

These insights help us understand evolving customer requirements and identify improvements needed in the next generation of equipment. We continuously work to enhance productivity, fuel efficiency, operator comfort and overall life cycle cost.

Therefore, field data, customer feedback and market intelligence play a crucial role in developing more efficient, reliable and competitive machines.

Looking ahead, where do you see the next major gains in machine uptime coming from as AI, connected diagnostics, and other technologies become more mature?

Connected machines and the Internet of Things (IoT) are already integral to our daily operations and product development. We also use the data generated through these technologies during the machine design process. More recently, Artificial Intelligence (AI) has started playing an important role, particularly in data analysis and identifying future customer requirements.

By analyzing operational data and customer feedback, AI helps us understand future machine requirements and identify how equipment should evolve. The more data we feed into these systems, the better insights we can generate. Our primary focus remains on improving machine longevity, productivity, efficiency, quality, durability and reliability (QDR). AI supports this process through deeper analytical insights, while product development and engineering continue at our design centers.

However, construction equipment has fundamentally different requirements from passenger vehicles. Construction equipment is a revenue-generating asset, and customers prioritize productivity, machine longevity, quality, durability and reliability over advanced features. After-sales service is equally critical because machine availability directly affects business operations and revenue generation.

Therefore, our approach to technology and product development focuses on building machines that deliver longer operating lives, consistent performance, reliability and higher productivity. Connected technologies and AI can support these objectives by providing better insights and enabling more informed design decisions.

What values or capabilities do you believe business leaders should develop early in their careers, and what would you encourage the next generation of leaders to focus on?

Having spent four decades in the industry, I believe the fundamental principles of leadership have not changed. Transparency, open communication, hard work and sincerity remain the foundation of effective management. My experience of working with Japanese organizations for more than 35 years has also taught me the importance of structured decision-making and continuous improvement.

I believe business leaders should develop the following values and capabilities early in their careers:

1. Structured Decision-Making (PDCA): The PDCA cycle – Plan, Do, Check and Act – emphasizes proper planning, informed decisions and timely execution. Understanding customer feedback, market requirements and performance before acting helps minimize gaps and improve outcomes.
2. Consensus Building: Leaders should involve employees at different levels in decision-making. Considering their feedback builds trust, encourages participation and creates a sense of ownership.
3. Gemba – Understanding Ground Realities: Leaders should visit project sites, meet customers and interact with field teams. My experience at Toyota and Hitachi taught me that ground realities can differ from what reaches senior management.
4. Problem-Solving and Continuous Improvement: Leaders should identify root causes rather than blame individuals, develop corrective measures and set clear timelines. Failures should encourage collective learning, while successes should be recognized as team achievements.
5. Authenticity, Transparency and Employee Trust: Leaders should delegate responsibilities and encourage employees to contribute to decisions. Accountability, teamwork and trust are essential to effective leadership.

While leadership practices may evolve, these fundamental principles should remain central to the next generation of leaders.