FEATURE Sensors & Industry 4.0 Your Global Automation Partner
Louis Columbus, senior industry marketing manager at DELMIA
Strategic Insights Leveraging IIoT & Connected Applications in Manufacturing.
entire supply chain, providing end-to-end visibility. This visibility helps in tracking raw goods in real time, reducing the need for accuracy. Combining IIoT with technologies like blockchain can further enhance supply chain transparency. According to Gartner, this ensures product authenticity and reduces the risk of counterfeiting.
For example, a global pharmaceutical company used IIoT to track the movement throughout its supply chain. Gartner reports that by integrating blockchain technology, they ensured the authenticity of their products and reduced the risk of counterfeiting, increasing customer trust and regulatory compliance. Manufacturing Operations Management (MOM) and Manufacturing Execution Systems modern manufacturing. MOM encompasses all activities related to managing manufacturing on the execution and real-time monitoring of MES provides real-time visibility into
production activities, helping manufacturers track work-in-progress, monitor equipment status, and ensure compliance with production schedules. By capturing real-time data on production performance, MES enables manufacturers to identify and address bottlenecks, optimise production schedules, and improve product quality. MOM provides a comprehensive approach to managing all aspects of manufacturing operations. It encompasses MES functions but also extends to quality control, maintenance, and inventory management, ensuring seamless communication and coordination across all areas of the manufacturing process. For example, a metal forming company integrated MES into their existing MOM DELMIAWorks reports that the MES solution provided real-time monitoring of machine performance, allowing the company to track production cycles, identify deviations from standard operating parameters, and take corrective actions promptly, resulting in an increased throughput of 20% and a reduction in scrap rates of 15%.
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The integration of MES and MOM systems also facilitates predictive maintenance. By continuously monitoring equipment conditions and performance, manufacturers can predict when maintenance is needed and schedule it accordingly, minimising unplanned downtime and extending equipment life. Implementing IIoT systems comes with challenges, such as integration with existing infrastructure, data management, and cybersecurity concerns. Manufacturers should adopt scalable IIoT platforms that support diverse protocols and standards. Edge computing can help manage and analyse data locally, reducing latency and bandwidth usage. Ensuring robust cybersecurity measures and technologies, such as strong authentication and encryption, is critical to protect sensitive data. Gartner highlights these considerations in their manufacturers. A successful implementation strategy involves starting small with pilot projects and scaling up as the organisation gains more experience and to ensure that all stakeholders are on board and The future of IIoT in manufacturing will be shaped digital twins. Digital twins, which are digital replicas of physical assets, enable real-time monitoring, simulation, and optimisation of manufacturing processes. Integrating AI with IIoT systems will provide deeper insights and predictive capabilities, According to Gartner, the market for simulation digital twins is expected to reach $379 billion by 2034, highlighting their growing importance in the industrial sector.
The integration of IIoT and connected applications
is revolutionising the manufacturing industry. By leveraging real-time data, predictive analytics, and advanced automation, manufacturers can optimise their operations, improve product quality, and enhance supply chain visibility.
DELMIA
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Automation | April 2025 17 Data from legacy Machines
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