The system provides clear visibility on equipment availability, performance, downtime, and condition. Real-time tracking of equipment enabled the client to identify bottlenecks and ensure 99.99% uptime of the manufacturing process. The data captured on a real-time basis is integrated with ERP which delivers insights into operation efficiencies and manufacturing productivity.
The application developed for the oil and gas industry automates the welding process for pipes of diameter ranging from 6-8 inches. The process involves welding from inside as well as outside with well precision and accuracy. The project is based on the IoT platform and establishes server-to-server communication and server-to-client communication. Integration of various cameras and sensors to perform precise welding and rotation and movement modules to move the torch in various positions.
Delivered a highly critical SAP integration project within 6 months through an offshore model, with zero glitches and not a single escalation. Eliminated manual interventions for low-value and high-time-consuming jobs and achieved resource optimization with SAP capacity requirement planning functionality. Material Management (MM) and Production Planning (PP) modules were implemented. Automation of processes to yield improved productivity and enable clients by driving visibility across the supply chain operations.
Implementing design thinking, innovation frameworks, and autonomous decision-making, NeoSOFT enables intelligent automation for your industrial enterprise. Leveraging technologies such as cloud, IIoT, AI/ML, sensors, analytics, mobility, automation, and AR, we help you drive value across the manufacturing chain and develop a connected ecosystem. Using an integrated digital transformation approach, we help manufacturers achieve new levels of agility, efficiency, quality, and sustainability.
Highly automated and self-optimized and connected manufacturing environment
Combining smart manufacturing technologies with cutting-edge statistical, data-driven, and physics-of-failure modeling techniques, NeoSOFT’s asset management and optimization solutions track your assets in real-time and enable manufacturing units to derive practical optimality. Our asset optimization strategies adopt Prescriptive analytics to help you operate as a much leaner organization. Leveraging machine learning and artificial intelligence we capture historical asset performance monitoring data and generate computer models of asset usage. IoT-enabled technologies are deployed to monitor asset conditions and analyze real-time data for determining maintenance needs.
Eliminate blind spots with automated asset monitoring
Leverage data-driven intelligence and predictive analytics
AI-based predictive maintenance
Pre-empt actions to avoid operational glitches or failures
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