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How Bosch uses AI in manufacturing

05.12.2023

Factsheet

Industry 4.0

How Bosch uses AI in manufacturing

Bosch plant in Ansbach This plant manufactures printed circuit boards for use in control units for ABS and ESP as well as for electronic steering systems. In the assembly of these boards, particular attention has to be paid to the solder joints: there are between 5,000 and 8,000 of them on each board. The Ansbach plant uses an AI-based measuring process to check whether all circuit-board elements are soldered correctly. If this is not the case, an image of the faulty solder joint is presented to experienced visual inspectors for evaluation. All in all, the inspectors now receive only a fraction of the images they previously had to review. The AI significantly reduces the visual inspectors’ workload, improves the quality of the results, and increases productivity. Bosch plant in Blaichach The plant in Bavaria also uses AI for quality control. At the Immenstadt site, the screen at the test bench for ABS systems lights up red to show the assembly workers if the component being tested is defective. This information is provided by a self-learning system that uses the data it has collected to recognize error patterns and, in this way, to distinguish relevant error messages from non-relevant ones. Weekly retraining of the algorithms continuously improves the high success rate. Bosch plant in Changsha At this plant in China, Bosch has introduced an AI-based energy management system that it developed in-house. The system relies on AI algorithms to predict energy consumption on production lines, enable continuous production scheduling, and incorporate business and environmental factors. These factors include forecasts of customer demand, production plans, weather, temperature, and humidity. This saves energy and reduces emissions. With the help of the AI solution, the Changsha plant was able to cut its annual electricity consumption by 18 percent and carbon dioxide emissions by 14 percent. For its achievements, the plant was singled out as an Industry 4.0 lighthouse by the World Economic Forum in 2022. Bosch plant in Charleston At this U.S. location, Bosch manufactures mobility solutions such as ESP, electric motors, and fuel-injection valves. The plant uses a root-cause analysis to investigate causal relationships that can lead to rejects at the end of the production process. AI software lends support to this analysis by sifting through the billions of data points that a manufacturing execution system (MES) collects and records during production. From this data, the AI derives possible correlations between the measured values and quality deviations in the production line and sets them out clearly on a dashboard, where associates see a ranked list of possible causes sorted by descending probability. Bosch plant in Dresden In this wafer fab, which went into operation in 2021, the company employs an AI system developed by its own researchers to detect anomalies and faults in the manufacturing process at an early stage. Predictive maintenance means that work on machines and systems is carried out as necessary. Artificial intelligence guarantees high process stability in the wafer fab and increases quality continuously. This saves customers time-consuming tests and curtails month-long trials. As a result, Bosch not only manufactures faster, but can also be relied on to deliver on time. Bosch plant in Mexicali At this plant in Mexico, AI uses noise analysis to check the quality and functionality of the multifunctional tools manufactured on-site. Once production is complete, a microphone “listens” to the tools for three seconds before the AI software delivers its verdict: OK or not OK – and the results are much more reliable than is possible for human inspectors. Around 300,000 tools were tested during development of the AI solution. The plant aims to use this process to inspect over one million products per year. Bosch in Reutlingen Artificial intelligence is also used in production scheduling at highly automated wafer fabs such as the Bosch plant in Reutlingen, Germany, where it saves time and costs as it guides the wafers through up to 1,000 processing steps. The AI has an overview of all the materials available for a manufacturing step and sorts them on the assembly line so as to achieve optimum throughput. In many instances, production sequencing is determined completely by AI, thus ensuring optimum utilization of capacity.

Bosch combines Industry 4.0 with AI

03.03.2021

Factsheet

Industry 4.0

Bosch combines Industry 4.0 with AI

Stuttgart, Germany – Bosch is developing the factory of the future. In this endeavor, the company sees Industry 4.0 as the way forward. Once Bosch has tested and validated products in-house, it markets them to other companies. Its portfolio ranges from software packages for manufacturing and logistics, to robots that make and deliver parts, to workplace assistance systems. The company expects that the use of artificial intelligence will take its endeavors to the next level. It can help reduce reject rates in factories, for example, and improve the utilization of machines and systems.AI in action: Examples from Bosch manufacturing operations Industry 4.0 combined with artificial intelligence helps in finding solutions for complex tasks. Connected manufacturing provides data and AI evaluates it. One use case for artificial intelligence is in production scheduling in highly automated wafer fabs such as the Bosch plant in Reutlingen, Germany, where it saves time and costs as it guides the wafers through up to 1,000 processing steps. This means a five percent faster wafer throughput, with an investment payback time of just three months. Bosch also uses artificial intelligence in its quality control. At its Immenstadt location, the screen at the test bench for ABS systems lights up red to show the assembly workers if the component being tested is defective. This information is provided by a self-learning system that uses the data it has collected to recognize error patterns and, in this way, to distinguish relevant error messages from non-relevant ones. Weekly retraining of the algorithms constantly improves the high success rate. Quality improvement is also the focus at the Bosch Rexroth plant in Homburg, where machine tools process hydraulic valve housings for mobile applications such as tractors. Machine learning methods are applied to make near real-time statements about the quality of workpieces on the basis of the data collected by machine tools. If necessary, the production processes are immediately adjusted, thus reducing the number of reject parts. Having reached development maturity, the AI application eliminates the need for labor-intensive downstream lab tests. Bosch develops AI solutions for its own plants and for customers Bosch’s special-purpose machinery unit has designed Machine Vision AI, an application platform for machine-based visual inspection of workpieces. It helps detect hard-to-identify features such as scratches and chipping on surfaces and defects in weld seams. The salient features of this solution are its ease of use and high reproducibility. A gradual rollout of the technology is currently underway in Bosch plants. The Bosch Rexroth APAS inspector , a production assistant for automatic visual inspection, is already established in factories and available on the market. Its learning image processing software means the system can be “retrained” at any time without requiring extensive programming knowledge on the part of the operators. AI also helps make manufacturing more resource friendly. More than 100 Bosch plants and locations utilize the Energy Platform from the company’s Industry 4.0 portfolio. Also available to external customers, the platform uses intelligent algorithms to quickly detect machines’ energy consumption and cushion any peak loads. This further reduces carbon dioxide emissions in factories; for example, Bosch’s lead plant for Industry 4.0 in Homburg, Germany, cut its emissions by some ten percent within two years. Bosch is now adding what it calls a Balancing Energy Network to its Energy Platform. This software solution uses AI to control and optimize energy flows in manufacturing operations. In addition to boosting energy efficiency, it allows power from renewable energy sources to be put to the best use, enabling flexible operating schedules to be drawn up. Originally developed for manufacturing facilities, the software has the potential to help all types of larger building complexes reduce their environmental footprint, including hospitals, shopping malls, and sports arenas. Bosch is a pioneer and leader in Industry 4.0 Bosch has been adding connectivity to manufacturing and logistics since 2012, with almost all its plants now using Industry 4.0 solutions. Projects in this area deliver measurable benefit. Industry 4.0 solutions make it possible to increase productivity at individual locations by up to 25 percent. One example is the Nexeed software developed by Bosch Connected Industry, which enables real-time management, monitoring, and control of production activities. Validated and used in Bosch factories, Nexeed has already won over more than 100 customers from a wide range of sectors, including BMW and the sensor manufacturer Sick. While Bosch Connected Industry focuses on Industry 4.0 software for production, the Bosch.IO unit offers cloud-based IoT solutions aimed primarily at logistics and AI-based energy management. Bosch Rexroth develops smart hardware, intelligent robotics solutions such as APAS or ActiveShuttle, and pioneering automation technology for the factory of the future. It has now launched an open, 5G-capable automation control platform: ctrlX Automation. Bosch Manufacturing Solutions rounds off the Industry 4.0 portfolio. The special-purpose machinery unit provides customized systems for production, from assembly to process and testing technology.