Emerson, a global automation solution supplier, is known for its solutions that help tyre manufacturers to have efficiency, safety and precise operations in five production areas- mixing equipment, wire and fabric calendars, extruders, tyre building machines, curing presses and finishing process.
Currently, the company is focusing more on solutions for the tyre curing process, which consumes the greatest amount of energy during the tyre production. If tyre curing process does not work correctly, it could also lead to tyre scrap and even breakdown.
“Today, we are focusing on increasing our value as a solution provider to monitor the health and performance of the curing system. Within the curing process, we are not just supplying valves or components, but we also deliver the controller, pneumatic valves and sensors that monitor each step of the process,” said Chris Bart, Director Business Development Automotive & Tire at Emerson Automation Solutions.
According to Bart, the challenge in the tyre curing process is to have precise control on temperature and pressure. With Emerson’s technologies, tyre manufacturers can maximise output and reduce energy and costs through better diagnostics, sensing and monitoring.
“The main challenge is the management of steam and nitrogen used to heat the mould and bladder pressure. So, any small deviation in the inputs can have severe negative effects on the quality of the products and overall productivity of the production line or the plant,” explained Bart.
In the tyre curing process, Emerson’s pressure-operated valves work in demanding steam applications and provide reliable and precise control, enabling rapid cycling and tight shut-off to ensure the curing press operates correctly and efficiently.
“Emerson’s valves system controls the movement of the steam and nitrogen into the process. Our valves are critical to supply steam and nitrogen in the proper time with proper temperature and pressure and make sure that there is no leakage during the cycle or between cycles,” explained Bart.
Digitisation helps Emerson’s steam valves to monitor the travelling time of the steam valve and detect anomalies, which ultimately assist in a predictive maintenance programme. “If any deviation happens, the system alerts the maintenance team, and downtime could be avoided,” said Bart.
Traditionally tyre manufacturing companies put a temperature gauge and a pressure gauge to monitor temperature and pressure in the piping system. “Earlier, it was tough to point out the reason for the deviation in temperature and pressure. We have developed our products that control the steam and nitrogen and also included the sensors that tell the exact position of the valves. So, we can also monitor the leakage of nitrogen, steam and the air we use in operation. It also monitors the air pressure that opens and closes the steam valves. We can monitor the total consumption of the compressed air as well,” said Bart.
“Today’s typical approach to see the only results, but with our system, we are giving is infinite detailed inside the system. This gives customers actionable insights to improve their tyre curing process.”
Emerson, not only provides the solution in the curing but also extends its offering to other components in the system. Historically the steam traps used to be checked manually.
If not work correctly, either a large amount of steam can escape or damage the valves and pipework. Emerson offers wireless acoustic transmitters that monitor steam trap health and detect failures in real-time. “The steam trap monitoring system is one of our biggest innovations in energy-saving efforts. With this, we can avoid damage or loss of steam and improve energy efficiency,” said Bart.
As part of its product development, Emerson regularly visits tyre companies to understand the pain point in the production processes. “Looking at their process and our expertise with the components as a solution supplier, we always look into further potential scope in monitoring, measuring and reporting in the tyre production,” said Bart.
For the mixing process, Emerson offers flow control and pneumatic directional control devices, such as pressure operated valves that optimise the mixing process. At a manufacturing production plant, the mixing is a crucial stage that decides the quality of tyres. All ingredients have to be mixed with accurate weight and in a controlled sequence. Emerson valves keep the weighing and hopper systems running efficiently and reliably while ensuring batch quality.
Emerson, for Fabric/wire calendars and extruder, provides products that increase reliability and material guidance precision of bead wiring and rubber coating, improves pneumatic system performance to avoid premature valve failures and reduces commissioning time through onsite/pre-set tuning. The overall company solution can significantly increase the lifespan of valves by purifying compressed air and regulating pressure and improve safety conditions for your workers by locking systems down during maintenance.
Repeatable, high precision pneumatic directional control ensures the production meets the highest quality specifications every time. Using Emerson’s modular and compact valve manifolds tyre manufacturing companies can achieve greater application flexibility, reduce costs, simplify commissioning, maximise the availability of tyre building machinery and achieve higher throughput targets. Increased visibility into the health of valves also lowers maintenance costs, says the company.
In the finishing process, Emerson’s products ensure precise and reliable motion control and positional accuracy. By offering higher repeatability and reliability, these devices reduce machinery downtime and maximise throughput. Emerson’s ISO and NFPA-conforming actuators and linear-guided cylinders are extremely durable, providing greater test equipment machinery reliability and extended lifespans.
According to Bart, the growing complexity in each process of tyre manufacturing is a challenge. “Complexity in mixing, calendering, tyre building, curing and in the finished products is growing, and it is demanding more control on each process. The evolution of the tyre manufacturing processes requires more insights and integration of process information. This enables continuous quality improvements and energy savings.,” said Bart.
From Data Overload To Decisive Action
- By Nilesh Wadhwa
- October 23, 2026
As commercial vehicle operators face mounting pressure from regulations, rising costs and the shift to electric power, Webfleet, a subsidiary of Bridgestone, is focusing on turning ever-growing volumes of vehicle data into practical recommendations that improve performance and ease the daily burden on fleet managers.
Founded in Leipzig in 1999 as one of the world’s first web-based fleet management platforms, Webfleet has grown from a pioneering software-as-a-service (SaaS) start-up to Europe’s leading solution and a core part of Bridgestone’s global offering. Today it serves drivers across more than 180 countries with AI-powered insights, electric-vehicle tools and sustainability data that turn complex operations into clearer, more efficient decisions.
In an exclusive interaction with Tyre Trends, Marc Notenboom, Director of Product Management at Webfleet, shares how the company has watched the fleet-management sector evolve over more than a quarter of a century. Interestingly, it was just last year the company marked its 25th anniversary.
From its inception, Webfleet has seen the volume of available data explode, yet the real challenge remains converting that information into meaningful guidance.
“Fleets give you more data but not more insights, which continues to be a challenge. Because of new regulations, new sensors, increasing competition and customer demands, we end up generating more data. We also have access to more data, which is growing exponentially. And then comes the real question, how do you make sense of that data?” Notenboom observed.
Marc Notenboom, Director of Product Management, Webfleet
Webfleet obtains its information through black-box devices installed in vehicles, sensors or direct connections to original-equipment manufacturers. This includes telematics, GPS, video, driver behaviour and vehicle diagnostics, among others. The company then processes that stream to deliver fleet-management services.
The next step, he explained, is moving beyond retrospective analysis. “Insights tell you what happened and why it happened, perhaps, but not what you need to do to improve your performance. That is what we are doing now with the help of artificial intelligence (AI). For example, we analyse data, see if patterns are different or you have anomalies in your data to predict what is happening or what is going wrong. And then we also use AI to analyse our data to see how you are performing, for instance, against competition. And then give customers suggestions on how to improve on certain topics like fuel consumption or driver safety,” he said.
The industry, in Webfleet’s view, is therefore evolving from raw data collection towards insights, recommendations and concrete actions.
SHARED PRESSURES ACROSS DIVERSE FLEETS
Webfleet serves a wide spectrum of customers, from large transport and logistics operators to small fleets of one or two vehicles, service-and-maintenance businesses and last-mile delivery companies.
Each customer faces distinct operational issues, yet common themes emerge. “What they all have in common is that the amount of data and the pressure to enhance their performance is increasing a lot. And then there is the regulatory compliance pressures as well,” said Notenboom.
Performance, in this context, covers delivery times, cost per kilometre, driver wages, safety and fuel consumption – metrics that matter differently according to the sector, but all that demand continuous improvement.
One of Europe’s most persistent difficulties is the shortage of skilled drivers, which has led to greater reliance on migrant workers whose experience of road conditions may vary widely between countries.
Webfleet addresses part of this challenge through tools such as OptiDrive, which shows fleet managers how individual drivers perform on fuel use and safety. Language barriers are tackled with automatic translation features built into the driver’s work app or tablet.
“They can interact with their fleet manager in their own language, and the fleet manager can also interact back in their own language,” explained Notenboom. The same interface delivers active coaching: if a driver exceeds the speed limit, for example, an immediate warning appears. These software-based interventions help maintain standards without requiring constant direct supervision.
MEASURABLE GAINS AND EV TRANSITION
Notenboom agrees that customers understandably scrutinise the return on any additional technology cost. He reported that Webfleet users typically achieve efficiency improvements of up to 15 percent, though results depend heavily on the starting point. This ranges from fuel savings, faster turnaround, downtime reduction or improved driver behaviour, among others.
“If a company is already really good at saving fuel, then adding tools and driver coaching and technology might not change a lot. At the same time, even if it’s a small improvement, especially with the high fuel prices today, it could already translate to a lot of savings,” averred Notenboom.
The arrival of electric trucks introduces a fresh set of complexities. Research indicates that driver behaviour exerts an even greater influence on energy consumption in electric vehicles than in conventional combustion models. Smooth operation becomes critical to range, while decisions about when and where to charge add further layers of planning. Webfleet supports the transition by helping managers determine the right vehicle for each duty cycle.
“If you do long-distance transport, electric trucks are perhaps not the best option. But if you do inner-city deliveries, then electric trucks become an interesting option. And trying to find out where the optimum is, when to use Internal Combustion Engine-vehicles, where to use electric vehicles, that is also a part where we can help the fleet manager to make that decision,” he said.
On the technology package itself, every Webfleet customer receives the software platform. Hardware can be selected according to need, or in some cases, dispensed with entirely through the OEM.connect service (access vehicle data directly from OEMs via APIs), without installing extra hardware that draws data directly from the vehicle manufacturer.
“A number of customers are preferring to use OEM.connect. So that is a solution where we don’t install hardware but take the data directly from the OEM offerings,” he explained. On the other hand, where original-equipment data fall short, Webfleet’s own devices remain available.
PRIVACY, BENCHMARKING AND THE ROAD AHEAD
Growing data volumes inevitably raise questions of privacy and regulatory compliance. Webfleet adheres strictly to General Data Protection Regulation (GDPR) – a strict European Union (EU) law that protects information privacy and data rights for individuals in the EU and the European Economic Area (EEA) – requirements.
Certain categories of information can be processed only with explicit customer permission, and for benchmarking purposes, the company anonymises data so that individual vehicles or fleets cannot be identified.
A recent example is Webfleet’s Commercial Trip Monitor, which aggregates anonymised information across the entire customer base to generate comparative insights.
Looking three to five years ahead, Notenboom identified three principal challenges for the commercial-vehicle industry: the practical difficulties of electrification, the continuing shortage of drivers (with autonomous vehicles potentially addressing certain use cases over a longer horizon) and relentless competitive pressure to deliver higher quality service at lower cost.
He regards these same pressures as sources of opportunity for those able to convert them into advantage.
Interestingly, he shared that Webfleet itself continues to evaluate new markets beyond its established presence in Europe, South Africa, South America and Australia. Bridgestone’s ownership of the US-focused Azuga platform complements the portfolio, while Asia-Pacific, including India, remains under active review even if no immediate plans have been confirmed.
As Notenboom puts it, the goal is not to simply collect more information but to translate that information into clearer decisions that keep vehicles productive, drivers safer and costs under control – regardless of whether the powertrain is diesel or electric.
Vaculug Rolls Out VMS Pro Max Next-Gen Fleet Management App
- By TT News
- October 20, 2026
Vaculug has released VMS Pro Max, the next generation of its fleet management application. The product, developed over a three-year period, pairs a redesigned interface with AI-enhanced software intended to make commercial fleet management faster and more intelligent. The app is now available for download through the Apple App Store and Google Play Store.
The upgraded platform offers clear, real-time access to tyre and vehicle data, accelerates background report uploads to reduce driver time and allows measuring tools to be connected for automatic tread depth capture. It also incorporates an embedded VAN Driver Guide and can instantly flag vehicles left uninspected across 30, 60 or 90 days. Existing users must sync all pending inspections and confirm cloud upload before updating to prevent data loss.
Yokohama Rubber, dotData Partner On Human-In-The-Loop AI Agent For Manufacturing R&D
- By TT News
- October 15, 2026
The Yokohama Rubber Co., Ltd. and dotData, Inc. have announced joint development an AI agent to help engineers form hypotheses, interpret findings and make decisions in manufacturing R&D. Before full deployment, the initiative will validate the agent's required capabilities and technical feasibility.
The solution combines technical documents such as design specifications and experimental reports with engineers' accumulated expertise and features extracted from measurement data via dotData's Signal Intelligence technology. It will provide insights tailored to each project's objectives, circumstances and constraints.
The agent is not meant to produce a single correct answer. Operating in a human-in-the-loop framework where engineers retain decision-making authority, it will present multiple possibilities, perspectives and risks to broaden thinking and support professional development.
Manufacturing R&D generates diverse data through experiments, simulations, production and evaluation. Developing hypotheses requires specialised knowledge and context. Since new technology R&D rarely has one predetermined answer, abductive reasoning plays a key role. AI can add value by using data and organisational knowledge to widen engineers' perspectives rather than replace judgment.
The agent will explore measurement and experimental data patterns beyond factors engineers previously identified, combining quantitative insights with design documents and expert knowledge to reveal difficult-to-spot relationships. It will offer input from materials, design, analysis, production and evaluation perspectives, challenge existing hypotheses and raise questions about alternative interpretations and conditions. Engineers will then test hypotheses and feed results back into further dialogue, guiding Signal Intelligence processes so non-specialists can explore data features as needed.
Yokohama Rubber has advanced HAICoLab since 2020, using dotData as a foundational technology in tyre design and rubber mixing. This joint development expands those efforts, with engineers interpreting and evaluating the agent's suggestions using their own expertise rather than accepting them unquestioningly. The companies aim to transform R&D processes while strengthening engineers' creativity and judgment, establishing a new model for human-AI collaboration in manufacturing R&D.
Motoji Fujita, Head of Research & Advanced Development Division, The Yokohama Rubber Co., Ltd., said, “Since 2020, we have conducted research and development under the HAICoLab framework, drawing on the complementary strengths of people and AI to create a collaborative environment. We believe AI agents will give engineers access to perspectives beyond their own experience and enable them to evaluate hypotheses from multiple angles. Through this development initiative, we aim to advance our R&D capabilities while supporting the continued growth of our engineers.”
Ryohei Fujimaki, CEO, dotData, Inc., said, “Success in manufacturing R&D depends heavily on an organisation’s ability to connect its proprietary data and knowledge with AI. The quantitative context generated from data through automated Signal Intelligence provides a foundation for AI agents to engage engineers in practical, data-driven discussions. Together with Yokohama Rubber, which has many years of experience in advanced data utilisation, we intend to establish standards for using AI in highly specialised business domains.”
Bridgestone Deploys Easytrack At SR Technics Spain MRO Hub
- By TT News
- October 10, 2026
Bridgestone Aircraft Tire (Europe), a Bridgestone Corporation subsidiary, has announced the deployment of its ‘easytrack’ tyre management system at SR Technics Spain SAU, the tyre and wheel maintenance hub of global maintenance, repair & overhaul (MRO) provider SR Technics. The scalable digital platform is accessible on desktop and mobile devices.
Designed for airlines and MROs, ‘easytrack’ manages inbound and outbound tyre and wheel flows across single- or multi-site operations. It delivers real-time identification, tracking and documentation throughout each asset’s lifecycle. The project follows the solution’s first airline implementation in 2025, becoming its second customer rollout and first MRO application.
MRO providers handle large tyre and wheel volumes for multiple airlines, complicating operations. ‘easytrack’ simplifies asset management and improves traceability, accuracy, safety and productivity. At SR Technics Spain SAU, it digitalised paper-based processes, cutting processing time by 45 percent, reducing data-entry and identification errors and improving flow management across Palma de Mallorca and Madrid.
From left: David Sautois, ‘easytrack’ Product Manager, Bridgestone Aircraft Tire (Europe) S.A.; Antonio Colella, General Manager, SR Technics Spain SAU; Jean-Philippe Minet, Managing Director, Bridgestone Aircraft Tire (Europe) S.A.; Eugenie Baradzina, Commercial Director, SR Technics Spain SAU.
The results stem from a Bridgestone and SR Technics Spain SAU co-creation initiative built on long-standing partnership. ‘easytrack’ was adapted to support tyre and wheel combinations for the hub’s wheel and brake operations. Bridgestone’s expansion of airline and MRO solutions aligns with its E8 Commitment, emphasising efficiency and ecology.
Antonio Colella, General Manager, SR Technics Spain SAU, said, "The successful implementation of easytrack is a significant achievement for SR Technics Spain SAU and our teams in Mallorca and Madrid. From the very beginning, the collaboration with Bridgestone was built on trust, openness and a shared vision for innovation. Together, we have developed a solution that not only improves efficiency and traceability but also creates lasting value for our operations. We are proud to be the first MRO in the world to adopt this technology and look forward to continuing this journey with Bridgestone Corporation.”
Jean-Philippe Minet, Managing Director, Bridgestone Aircraft Tire Europe, said, “I’d like to thank SR Technics for their trust and another fruitful collaboration with Bridgestone. What the teams have jointly achieved is remarkable: co-creating through efficient teamwork and customising the Bridgestone easytrack application to digitise SR Technics tyre and wheel tracking operations. This is a brilliant example of how Bridgestone amplifies the value created at our partners.”
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