Robots and the Future of Fats and Oils Refining and Blending
Overview Robots have started to revolutionize the fats and oils refining and blending industry, impacting both efficiency and productivity. Artificial Intelligence and robotics technology are projected to be the most essential technologies by 2023. By 2025, the market value of functions performed by robots and automation technology is likely to reach USD $67 billion. This guide explores how robotics play an impactful role in the fats and oils refining and blending industry and highlights the key statistics in this revolution.
Robotics and Efficiency in the Fats and Oils Industry
Automation and robotic technology have significantly increased efficiency in the fats and oils refining and blending industry. A study reported that robotic technology has led to productivity improvements of approximately 20-30%. Improving efficiency is a core drive for industry firms with 80% of the businesses in the sector investing in robotics to take over routine tasks, decreasing both the chance of human error and the time taken to produce a unit of output.
Robotics and Quality Control in Fats and Oils Refining and Blending
By using robotics and AI technology, factories can significantly increase their quality control. The use of vision systems and sensors implemented in AI robots has led to accuracy rates of up to 99.9% in quality control. These robots work 24/7 under the same conditions, ensuring the consistent quality of fats and oils, despite handling quantities of up to 2000 liters of oil per hour.
AI and Predictive Maintenance in Fats and Oils Industry
The implementation of AI in robotics can also boost the Predictive Maintenance in the fats and oils refining and blending industry. Predictive Maintenance can reduce maintenance costs by 10-40%, increase equipment lifetime by 20%, and reduce downtime by up to 50%. These systems identify defects before they become critical, thus allowing maintenance to be performed before it impacts the production process.
Labor Market Changes and Reskilling
The rise of robotics and AI in the fats and oils refining and blending industry requiring reskilling of the workforce. By 2023, 47% of jobs will be impacted by automation. Therefore, the reskilling of workers is becoming increasingly important, with 54% of employees requiring significant reskilling or upskilling in the future.
Key Takeaways - The rise of robotic technology leads to productivity improvements of approximately 20-30% in the fats and oils refining and blending industry. - AI and robotics ensure consistent quality with an accuracy rate of up to 99.9%. - Predictive Maintenance reduces maintenance costs by 10-40% and downtime by up to 50%. - Significant reskilling or upskilling of employees is necessary, with 54% of workers requiring this.
3Laws Robotics aims to support these revolutionary changes and technological advancements in various industries, including fats and oils refining and blending. With a focus on safety and reliability, 3Laws is developing innovative software solutions designed to simplify and enhance the process of robotic safety certification. Named as 3Laws Supervisor, the software offers robust safety features, and it stands as evidence of system robustness thereby easing the path of certification.
Built on Control Barrier Functions, a technology from Caltech, 3Laws software provides an assurance of mathematically provable safety. With a range of use cases across industries, customers have reported significant efficiency gains. For instance, in warehouse automation, a customer reported a 40% efficiency gain using 3Laws technology.
The software also enables safe interaction between humans and robots, making it a cornerstone for the swiftly developing field of collaborative robotics. Additionally, the software's real time guardrails and reactive collision avoidance capabilities allow robots to operate in dynamic environments, minimizing operation downtime and maximizing productivity.
3laws Supervisor is compatible with various platforms like mobile robots, cars, drones, and manipulators, and popular robotics middleware such as ROS and ROS2. Seen as the next-gen safety solution, 3Laws goes beyond traditional safety methods, offering a proactive, dynamic and predictive safety system that can be safety certified for ISO 3691-4 and ISO 26262. It holds the potential to unlock the full potential of the vast scope of robotics in the fats and oils refining and blending, and many more industries.