«The top five countries are Germany, Italy, France, Spain and Poland,» said Marina Bill, president of the International Federation of Robotics (IFR), adding: «They represent 70% of the EU industry».

Germany leads the robot market in Europe: around 26,000 units were installed in 2022 alone (37% of all EU installations). Globally, it ranks as the fourth largest robot producing country, behind Japan, Singapore and South Korea. The automobile industry is the main consumer of industrial robots in this country.

Italy is the second largest robot market in Europe. Here, the global metal machinery industry is strong: sales volume in 2022 reached 3,700 units, an increase of 18% over last year. Sales of robots in the metal, chemical and plastic industries considerably increased their installed units. The country’s food and beverage industry is also strong, however, demand from the automotive industry fell 22%. The unit is managed by the Stellantis Group, formed from the merger of Fiat Chrysler and the French Peugeot Citroën.

France‘s robot market will be the third largest in Europe, with installations increasing by 15% annually. The main client is the steel industry, with a market share of 22%. The automobile industry grew by 19% to 1,600 vehicles. This represents a market share of 21%. The French government has announced a €100 billion incentive package for the purchase of smart industrial equipment in 2021. Demand for industrial robots will increase in the coming years.

For its part, Spain occupies fifth place with a growth of 12%, totaling 3,800 units. The placement of robots is dictated by the automotive industry. Spain is the second largest automobile manufacturer in Europe after Germany, according to the International Organization of Automobile Manufacturers (OICA). The Spanish automobile industry sold 900 vehicles, 5% more. Sales in the steel industry increased by 20%, reaching 900 units. By 2022, the mechanical steel industry will account for almost 50% of robot installations.

The integration of robots in Poland would have been in full swing for nine years. In 2022, demand in the metallurgical and engineering industry grew by 17%. Demand in the automotive industry is almost 500 units, a year-on-year decrease of 37%. The civil war in Ukraine has weakened the manufacturing industry. But innovative companies and digital technologies will benefit from €160 billion of EU financial support between 2021 and 2027.

European countries, including non-EU countries, have reached a total of 84,000 installed robot units, representing a growth of 3% in 2022.

What emerging technologies are used by Ford?:

1. Robotics: For repetitive and, above all, dangerous tasks. Favors increased safety and productivity of the process.
2. 3D printing: For the manufacture of auto parts (engine and chassis components, for example). In this way the company can manufacture custom and personalized pieces.
3. Artificial intelligence: To improve quality and efficiency, and detect defects or errors.
4. Data analysis: To identify opportunities for improvement.
5. Automation and internet of things (IoT).

As the company advances with the use of emerging technologies, its commitment to environmental sustainability has also grown, significantly reducing the damage produced in the processes. Making greener vehicles is part of Ford Motor Company’s vision for the future.

The president of the International Federation of Robotics (IFR) claims that it was the automotive industry that effectively invented automated manufacturing. Nowadays, robots play a vital role in driving the industry’s transition from internal combustion engines to electric power.

Robot density is a key indicator of the current level of automation in major automotive production economies:

-The Republic of Korea uses 2,867 industrial robots per 10,000 employees (2021).

-Germany uses 1,500 units

-United States 1,457.

-Japan has 1,422 units per 10,000 workers.

China, the world’s largest automobile manufacturer, has a robot density of 772 units. However, it is quickly outpacing this number: the number of new robots installed in the Chinese automotive industry has reached 61,598 units in 2021 in one year. That represents 52% of the total of 119,405 units installed in factories around the world.

On the other hand, the objectives set for electric vehicles are forcing the automotive industry to invest: the European Union has announced plans to stop selling vehicles with air pollution by 2035.

Taking the United States as an example, the deadline is 2030. By 2035, all new cars sold in China will have to use “new energy” energy. Half of them must be electric, fuel cell or plug-in hybrid vehicles. The remaining 50% must be hybrids.

Most auto manufacturing plants that invested in traditional “caged” robots for basic assembly are now also investing in collaborative applications for final assembly and finishing tasks.

In a significant stride forward, KUKA has unveiled the KMP 600-S diffDrive, marking the dawn of a new era for mobile robotics. This cutting-edge generation of mobile robots has been strategically introduced to augment and diversify KUKA’s extensive catalog of logistics solutions, proudly boasting an impressive top speed of up to 2 meters per second.

This latest addition from the renowned German manufacturer, KUKA, emerges as a formidable and versatile solution, poised to meet a wide spectrum of intralogistics demands. It stands as a testament to the company’s unwavering commitment to upholding the highest safety standards, ensuring not only efficiency but also paramount safety in the operational landscape.

When we delve into the core attributes of the KMP 600-S diffDrive model, it becomes evident that this robot offers a substantial load capacity of up to 600 kg, a capacity more than sufficient to cater to the diverse logistics requirements spanning various sectors, such as the consumer goods industry. With the capability to achieve speeds of up to 2 meters per second, this robot comes equipped with a standard IP54 protection rating, enabling it to operate efficiently even when exposed to splashes and dust in its environment.

Moreover, this versatile robot can be enhanced with a state-of-the-art 3D object detection system, granting it the ability to identify obstacles as tall as 2.10 meters. It also seamlessly integrates a system designed to handle pallets from ground level up to heights of 60 mm, showcasing its adaptability to a multitude of tasks.

One of the standout advantages of AGV (Automated Guided Vehicle) robots lies in their capacity to work safely in collaborative settings. To bolster this aspect, the KMP 600-S diffDrive incorporates laser scanners that provide reliable oversight of its surroundings, monitoring both equipment and people in motion. For this reason, the product range manager at KUKA, underscores the paramount importance of safety, affirming, «Safety is our top priority.» He further adds, «This is why we’ve integrated eight safety zones at both the front and rear of the KMP 600-S diffDrive, allowing customers to customize them according to their specific requirements, considering factors like vehicle speed and application.»

On the other hand, the robot’s battery endurance is remarkable, enabling continuous operation for a duration of 8 hours. Moreover, in the event of a recharge requirement, it can swiftly rejuvenate to 100% capacity in just 2 hours, responding to prompts from the KUKA.NavigationSolution software. Equipped with a SLAM (Simultaneous Localization and Mapping) navigation system, the robot fleet is seamlessly interconnected through a WLAN network. Programming and control are facilitated through JAVA, while manual oversight can be exercised through a dedicated controller.

Challenges and Opportunities

As modern manufacturing has reached impressive levels of efficiency, companies are facing increasingly complex challenges. The need to produce goods more quickly, with greater safety, quality, and lower cost, is a constant in the industry, even for automotive leaders. Failure to adapt to Industry 4.0 operations can result in diminishing returns.

Competition in the automotive industry is fierce, and companies are constantly seeking ways to stand out. This article will examine the latest manufacturing trends in the automotive sector and how they are transforming the industry.

With so much competition to be the biggest, the best, and to reach more end consumers, what exactly are modern companies implementing?

Overview

While automotive companies are not the only ones investing in robotics, automation, IoT, and data analytics, they often pioneer the early adoption of disruptive technologies. The numbers support this trend. According to a recent report from the Capgemini Research Institute, 98% of the leading automotive manufacturers with revenues exceeding one billion dollars are advancing in their smart factory initiatives. Nearly half of them (48%) have made significant progress in their goals, a 10% increase from the previous year.

While 48% may not seem remarkable on its own, the report predicts a 60% increase in cumulative investments by 2023 in areas such as cloud computing, 5G networks, virtual assembly technologies, autonomous industrial equipment, collaborative robots (cobots), drones, and additive manufacturing. While these technologies and figures may not directly impact end consumers, automakers expect these investments to generate approximately $160 billion in annual productivity gains, which will influence costs and product quality.

Key Technologies

The crucial technologies that will drive the adoption of smart factories in the automotive industry include:

1. IIoT (Industrial Internet of Things): While IoT is common in everyday life, industrial IoT is more complex, requiring the interconnection of numerous sensors and devices regardless of their location. IoT connectivity is essential for data collection and process optimization. However, only 20% of automotive manufacturers believe in the scalability of IoT, even though about a third believe it offers significant benefits.
2. Private 5G Networks: The promise of significantly improved speeds and reduced latency compared to previous network generations makes private 5G networks indispensable for the digital transformation of an automaker.
3. Convergence of Information Technology and Operational Technology (IT-OT): Seamless integration between information technology and operational technology is crucial for the success of a smart factory. Connectivity of systems, from design to production, is essential. However, less than 40% of companies have established the necessary modeling for this synchronization. Interestingly, only about 30% have a clear view of the data flows and processes required for synchronization.

Examples of Industry Leaders

As in any field, some companies stand out for their adoption of cutting-edge technologies:

1. Mercedes-Benz: Known for its quality and precision, this Germany-based automaker uses advanced technology to virtually simulate the entire production process, including over 4,000 distinct processes. The use of machine learning and data analytics to create self-learning and self-optimizing production systems sets it apart.
2. BMW: Another German automaker, BMW, plans to expand and make significant investments in its largest automated facility in the United States, with an estimated expenditure of $1.6 billion.
3. Audi: Like BMW, Audi is investing $1.3 billion to build a smart factory in Mexico.
4. Harley-Davidson: This iconic brand managed to reduce its 21-day production cycle to just six hours through the implementation of suitable technologies and process optimization.

These technological innovations are both utilized within the realm of material handling, specifically in warehouses, distribution centers, and manufacturing facilities. Their purpose is to facilitate the transportation of materials, optimize material flow, reduce error rates, and enhance worker productivity.

What is an AMR?

An Autonomous Mobile Robot (AMR) is a robot using sensors that can be controlled autonomously without needing a manual guide or marker. Within its operating environment, an AMR possesses the capacity to autonomously acquire knowledge of its surroundings, establish its precise location, and dynamically plan optimal routes.

What is an AGV?

An Automated Guided Vehicle (AGV) is a vehicle which has been preprogrammed for transportation within storage or manufacturing facilities. This type of robotic solution is programmed to follow predefined paths or routes.

AGVs excel in scenarios with relatively straightforward material flow requirements, where adherence to predefined routes suffices.

Key Differences

One of the primary distinctions between AMRs and AGVs is their navigation capabilities. AMRs, as mentioned earlier, possess the ability to autonomously map their surroundings, adapt to changes, and navigate around obstacles in real-time. In contrast, AGVs are limited by their predetermined paths and require infrastructure like magnetic strips or sensors to guide them. While modern AGVs have improved in flexibility, they still lack the autonomy and agility of AMRs.

Safety is another critical factor to consider. Both AMRs and AGVs are equipped with safety features, including emergency stop buttons, sensors, and cameras. However, AMRs have the upper hand in terms of safety due to their ability to navigate around people and obstacles. AGVs often operate in segregated areas to ensure safety, which can lead to longer travel distances and increased wear and tear.

Cost considerations also play a significant role in the choice between AMRs and AGVs. Generally, the total cost of ownership for an AMR is lower than that of a traditional AGV. The ease of installing AMRs without significant modifications to existing facilities contributes to this cost advantage. AGVs, on the other hand, may require substantial investments in infrastructure, such as magnetic strips, tape, or wires, for navigation.

Applications and Maintenance:

Both AMRs and AGVs find applications in material handling tasks, but their suitability varies. AMRs are particularly well-suited for complex and dynamic environments. They can be programmed to perform various tasks, including assisting human workers and executing intricate actions with robotic arms. AGVs, on the other hand, are typically installed in more straightforward industrial settings, where human interaction is minimal.

Maintenance is another factor to consider. Traditional AGVs require periodic checks to ensure the integrity of their physical guidance systems, which can be damaged when crossed by workers or forklifts. AMRs, in contrast, demand less infrastructure-dependent maintenance, primarily involving routine cleaning to remove dirt and debris from sensors and other essential components.

Conclusion:

In conclusion, AMRs and AGVs are revolutionizing material handling processes across various industries. AMRs offer unparalleled autonomy, adaptability, and safety, making them ideal for complex environments. AGVs are more suitable for simpler industrial scenarios, though modern AGVs have bridged the technology gap to some extent. Choosing between these technologies depends on your specific operational needs, the complexity of your environment, and your budget considerations. Both AMRs and AGVs have their unique strengths and are valuable assets in the pursuit of efficient and streamlined material handling operations.