Industry 4.0 refers to the integration of digital technologies such as IoT, AI, and data analytics into manufacturing processes to create smart factories.
Predictive maintenance uses data analysis and machine learning to predict when equipment failure is likely to occur, allowing for maintenance to be performed before issues arise.
Key components include sourcing, production, inventory management, distribution, and customer service.
Factories can reduce energy consumption through measures such as upgrading equipment, optimizing processes, implementing energy-efficient technologies, and using renewable energy sources.
TQM is a management approach focused on continuous improvement, customer satisfaction, and employee involvement in quality control processes.
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Industry 4.0 refers to the integration of digital technologies such as IoT, AI, and data analytics into manufacturing processes to create smart factories.
TQM is a management approach focused on continuous improvement, customer satisfaction, and employee involvement in quality control processes.
Factories can reduce energy consumption through measures such as upgrading equipment, optimizing processes, implementing energy-efficient technologies, and using renewable energy sources.
Key components include sourcing, production, inventory management, distribution, and customer service.
Predictive maintenance uses data analysis and machine learning to predict when equipment failure is likely to occur, allowing for maintenance to be performed before issues arise.
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