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SUPPLY CHAIN SOLUTIONS


enables manufacturers to identify and address bottlenecks, optimise production schedules and improve product quality.


Manufacturing Operations Management (MOM) provides a comprehensive approach to managing all aspects of manufacturing operations. MOM encompasses MES functions, but also is extended to control quality control, maintenance and inventory management, ensuring seamless communication and coordination across all areas of the manufacturing process.


For example, a leading metal forming company integrated MES into their existing  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 a 20 percent increase in throughput and a 15 percent reduction in scrap rates.


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.


OVERCOMING CHALLENGES IN IIOT IMPLEMENTATION


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  midsize manufacturers.


A successful implementation strategy involves starting small with pilot projects and scaling up as the organisation gains more  is also essential to ensure that all stakeholders  challenges of IIoT.


FUTURE TRENDS: ARTIFICIAL INTELLIGENCE AND DIGITAL TWINS The future of IIoT in manufacturing will  intelligence (AI) and 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. As the industry continues to evolve, those who embrace IIoT will be well positioned to lead in the era of smart manufacturing, driving innovation and excellence in their operations.


The future of manufacturing is connected,  IIoT is not just a technological advancement; it is a strategic imperative for achieving long-term competitiveness and success.


DELMIA www.3ds.com/products/delmia


THE


S-SERIES CRANE


Smart, safe and compact.


The S-series crane features  rope which is lighter, stronger and safer to handle than


steel wire rope and requires no lubrication. It provides


stepless hoisting and rope angle characteristics for inherent safety without compromising your productivity goals.


bit.ly/3yd8OK2 KONE-130x190.indd 1 28/02/2024 14:36 FACTORY&HANDLINGSOLUTIONS | MARCH 2025 21


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