To create both sustainable and profitable operations, you need intelligent plant operations and a hybrid cloud infrastructure. By leveraging intelligent, automated workflows, edge computing and the power of hybrid cloud, smarter asset management and insights based on data and AI, you can quickly spot defects and reduce waste and latency, keep assets healthier, satisfy shareholder and employee expectations, and continuously meet regulatory requirements. Whether your operations are continuous, batch or discrete, IBM can help you innovate your manufacturing organization with the right technology and deep industry expertise to build a more resilient, sustainable factory.
Improve quality and reduce scrap with visual monitoring at enterprise scale to detect anomalies.
Optimize performance and reliability, extend asset lifecycles and reduce operational downtime and costs.
Maximize visibility and traceability by connecting related processes and data across the entire development lifecycle.
Boost productivity and profitability, and reduce inventory with asset monitoring and predictive maintenance.
Improve energy efficiency, reduce the carbon footprint and waste in plants, and create a safer environment for employees.
Gain greater insights into the health of manufacturing assets to take the right preventive, predictive and prescriptive actions and avoid downtime.
Leverage an enterprise-wide view of all assets to unify operations and maintain business continuity regardless of change or disruptions.
Increase reuse and efficiency by connecting physical and digital product design across the development lifecycle.
Reduce the carbon footprint and waste in plants with advanced weather analytics.
Siemens, IBM and Red Hat launch Hybrid Cloud initiative to increase the real-time value of industrial IoT data.
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Sandvik Mining and Rock Technology is delivering key insights to reinvent how their customers analyze, learn and communicate through their assets.
To gain insights from its legacy process control systems, Novate Solutions used IBM Maximo Monitor to view asset performance in real time.
ASTRI uses model-based systems engineering (MBSE) processes to create a digital “twin” of the equipment it’s working on, helping its engineers develop and test software earlier and identify defects sooner.
L’Oréal is accelerating its Industry 4.0 journey with performance diagnostics, operations strategy and AI solutions to deliver new products faster.
COVID-19 has been a catalyst for change and manufacturers are looking at digital transformation for help and long-term growth opportunities. (5.1 MB)
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