This can be translated into :<\/p>\n\n\n\n
- \n
- L'automation<\/strong> of certain lines or cells (robots, cobots, real-time control)<\/li>\n\n\n\n
- The use of sensor data<\/strong> to adjust production, predict breakdowns or trace operations<\/li>\n\n\n\n
- From connected employees<\/strong>trained using digital tools (instructions, e-learning, skills matrices, etc.)<\/li>\n\n\n\n
- More agile, cross-functional governance aligned with performance in the field<\/li>\n<\/ul>\n\n\n\n
It's not necessarily an ultra-robotized factory. Above all, it's an organization more responsive, connected and learning<\/strong>.<\/em><\/p>\n\n\n
\n![\"Free](\"https:\/\/merca.team\/wp-content\/uploads\/2023\/11\/matrice-de-competences-excel-1024x557.png\")
<\/a><\/figure>\n<\/div>\n\n\n<\/div>\n\n\n\n1. Siemens: automation and quality excellence<\/h2>\n\n\n\n
Emblematic site : Siemens Electronic Works Amberg<\/a> (Germany)<\/strong><\/p>\n\n\n\n
- \n
- Nearly 17 million products<\/strong> are produced each year, with a quality rate of 99,999 %<\/strong><\/li>\n\n\n\n
- 75 % of processes are automated<\/li>\n\n\n\n
- The plant is controlled by over 2,800 PLCs on-site products<\/strong><\/li>\n<\/ul>\n\n\n\n
This plant produces programmable logic controllers (PLCs) - and loops them into its own operations. Siemens illustrates a logic ofintegrated self-generation<\/strong> : its products are used to automate its factory.<\/p>\n\n\n\n
\n
The Siemens plant in Amberg is often cited as a model ofIndustry 4.0<\/strong> quality, traceability and intelligent automation.<\/em><\/p>\n\n\n\n
<\/div>\n<\/blockquote>\n\n\n\n2. Bosch: use-driven transformation<\/h2>\n\n\n\n
Bosch, via its industrial division Bosch Rexroth<\/a><\/strong>has developed an iterative and applied approach:<\/p>\n\n\n\n
- \n
- The company starts with test its technologies in its own plants<\/strong><\/li>\n\n\n\n
- It structures its efforts around 4 pillars<\/strong> connected production lines, adaptive production, operator assistance, intelligent product integration<\/li>\n\n\n\n
- She launched a digital conversion program<\/strong> for its non-graduates, to train them for positions in IT or management<\/li>\n<\/ul>\n\n\n\n
Bosch is more than just a supplier: it's a informed user<\/strong> of its solutions. Our approach is based on experimentation, analysis of feedback from the field, then deployment.<\/p>\n\n\n\n
\n
Bosch was also behind the first German national Industry 4.0 training program<\/strong> for technicians.<\/em><\/p>\n\n\n\n
![\"industry](\"https:\/\/merca.team\/wp-content\/uploads\/2023\/06\/Banniere_Webinar_Bonduelle-1-1-1024x299.png\")
<\/a><\/figure>\n\n\n\n<\/div>\n<\/blockquote>\n\n\n\n3. Toyota: automation at the service of people<\/h2>\n\n\n\n
At Toyota, robotization is not an end in itself: it must be a means to an end. increasing the human factor<\/strong>not replace it.<\/p>\n\n\n\n
Example: Toyota Motor Manufacturing Kentucky<\/a><\/strong> in Georgetown (USA)<\/p>\n\n\n\n
- \n
- Modernized plant for 1.3 billion dollars<\/strong>with the integration of new robots<\/li>\n\n\n\n
- Instead of cutting jobs, Toyota has recruited 700 additional staff<\/strong><\/li>\n\n\n\n
- Automation focuses on ergonomics, quality and reliability - but the human element remains central<\/li>\n<\/ul>\n\n\n\n
Toyota sees Industry 4.0 as an opportunity a tool to assist human work<\/strong>not as a complete substitution.<\/em><\/p>\n\n\n\n
<\/div>\n\n\n\n4. Volkswagen: customized production on an industrial scale<\/h2>\n\n\n\n
Volkswagen embarked on an ambitious digital transformation at a very early stage.<\/p>\n\n\n\n
- \n
- 4 billion euros invested in digitalization<\/strong>particularly for production<\/li>\n\n\n\n
- Objective: to enable mass customization<\/strong>without interrupting the production line<\/li>\n\n\n\n
- Unified production monitoring global digital cockpit<\/strong><\/li>\n\n\n\n
- Strong growth in man-machine collaboration<\/strong> (collaborative robots, sensors, etc.)<\/li>\n<\/ul>\n\n\n\n
Volkswagen embodies a flexible plant 4.0<\/strong>where each workstation can adapt to the vehicle being produced, in real time.<\/p>\n\n\n\n
\n
Their promise: to produce a personalized car at the same cost<\/strong> than a production model, at no extra industrial cost.<\/em><\/p>\n\n\n\n
<\/div>\n<\/blockquote>\n\n\n\n5. General Electric: software architecture as a foundation<\/h2>\n\n\n\n
GE was a pioneer in industrial digitalization through GE Digital<\/strong>.<\/p>\n\n\n\n
- \n
- Creation of Predix<\/strong>a cloud platform for industrial data<\/li>\n\n\n\n
- Strong use case : Digital Windfarm<\/strong> \u2192 each wind turbine is simulated using a digital twin to maximize efficiency<\/li>\n\n\n\n
- Large-scale analysis of production performance, maintenance and energy consumption<\/li>\n<\/ul>\n\n\n\n
GE illustrates the industry's move towards a platform logic + data<\/strong> information-driven, rather than machine-driven.<\/p>\n\n\n\n
\n
Feedback on Predix shows strategic transition to software<\/strong> at GE.<\/em><\/p>\n\n\n\n
<\/div>\n<\/blockquote>\n\n\n\nHow can you draw inspiration from these leaders to kick-start your own Industrie 4.0 transformation?<\/h2>\n\n\n\n
You too have needs in these areas:<\/p>\n\n\n\n
- \n
- Manage your teams effectively<\/li>\n\n\n\n
- Maintaining critical skills<\/li>\n\n\n\n
- Digitizing work instructions and job training<\/li>\n\n\n\n
- Versatility and agility in the face of the unexpected<\/li>\n<\/ul>\n\n\n\n
Industry 4.0 starts with better visibility in the field:<\/p>\n\n\n\n
- \n
- A digital skills matrix<\/strong> to control deviations<\/li>\n\n\n\n
- A connected versatility panel<\/strong> to adapt your teams<\/li>\n\n\n\n
- A centralized training matrix<\/strong> to trigger the right courses<\/li>\n\n\n\n
- From standards and instructions at your fingertips<\/strong><\/li>\n<\/ul>\n\n\n\n\n\n\n
\n\ud83c\udfaf Request a free demo of Mercateam software<\/p>\n<\/div>\n<\/a>\n
- A connected versatility panel<\/strong> to adapt your teams<\/li>\n\n\n\n
- A digital skills matrix<\/strong> to control deviations<\/li>\n\n\n\n
- Strong use case : Digital Windfarm<\/strong> \u2192 each wind turbine is simulated using a digital twin to maximize efficiency<\/li>\n\n\n\n
- Objective: to enable mass customization<\/strong>without interrupting the production line<\/li>\n\n\n\n
- Instead of cutting jobs, Toyota has recruited 700 additional staff<\/strong><\/li>\n\n\n\n
- It structures its efforts around 4 pillars<\/strong> connected production lines, adaptive production, operator assistance, intelligent product integration<\/li>\n\n\n\n
- The use of sensor data<\/strong> to adjust production, predict breakdowns or trace operations<\/li>\n\n\n\n