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The Impact of Industry 4.0 on Industrial Management

Industry 4.0 is the fourth industrial revolution. The result is technologically connected manufacturing facilities.

Advanced automation, real-time communication, and remote monitoring support growing advances in manufacturing facilities’ agility, reliability, and quality. The increasing amount of data can be used for more effective decision-making.

Industry 4.0 means proactive maintenance, optimized process control, and the ability to complete tasks remotely. Equipment sensors and 5G network communication make these benefits possible.

Learn more about the impact of Industry 4.0 on industrial management.


Advanced automation supports more informed programming for employees and robots to work together innovatively. This increases safety, efficiency, and productivity in manufacturing facilities.

Sensor Technology

The use of sensor technology provides real-time data monitoring and collection from industrial machinery. Whereas new machinery often comes with these sensors, older machinery can be retrofitted with them. This provides data analysis to make more informed decisions involving inventory, maintenance, process control, and personnel management.

Equipment and System Communication

Expanded communication between industrial equipment and systems creates networking technology for a fully interconnected manufacturing facility. The equipment feeds data into software systems for effective decision-making.

Data Analytics

Collecting data in real-time supports more effective process control. This includes predictive maintenance to reduce downtime, increase productivity, and maintain peak performance operations.


Sensor technology supports more effective inventory management. For instance, the technology can be used to analyze procurement and supply chain partners to provide more flexibility in sourcing. Sensor technology also can be used to ensure parts are where they need to be and counts are accurate.


Predictive and preventative maintenance help keep accurate servicing records. This ensures the required tasks and functions are carried out on time.


Fully connected data collection, performance monitoring, and computerized maintenance management system (CMMS) software support predictive maintenance. This ensures personnel can perform the required maintenance during a less disruptive time. Predictive maintenance increases uptime by reducing the impact of industrial equipment malfunctions and production interruptions.


Increased connectivity, communication, data, and maintenance lead to more effective automation, process control, and productivity. This results in more effective inventory management, more efficient use of resources, improved uptime and throughput, and optimized product quality.

Competitive Edge

More uptime and optimized processes and operations help quality products reach customers in a timely manner. This increases manufacturing facilities’ profit margins, revenue, and bottom line.

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