Innovationen und bereichsübergreifendes, synchronisiertes Programmmanagement
Luft- und Raumfahrt
Innovationen und bereichsübergreifendes, synchronisiertes Programmmanagement
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Integration der Mechanik-, Software- und Elektroniksystementwicklung für den Einsatz in Fahrzeugsystemen
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Produktinnovation durch effektives Management integrierter Konfektions-, Verpackungs- und Fertigungsprozesse
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Nutzung vorhandener Daten bei der Entwicklung neuer Produkte, um Qualität und Rentabilität zu steigern sowie gleichzeitig Markteinführungszeiten und Kosten zu reduzieren
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Zusammenarbeit in der Versorgungskette hinsichtlich Konstruktion, Bau, Wartung und Stilllegung von Energie- und Versorgungsanlagen
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Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
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Integration von Konstruktion und Entwicklung für die Fertigungsprozessplanung der heutigen Maschinenkomplexität
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Visibility, compliance and accountability for insurance and financial industries
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Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
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Personalisierte Produktinnovation durch Digitalisierung, um der Marktnachfrage gerecht zu werden und die Kosten zu senken
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Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryBenefits of IIoT and connected machines in manufacturing
Benefits of IIoT and connected machines in manufacturing
Maximize overall machine effectiveness with remote condition monitoring
Factories and plants around the world are looking at how digital transformation can help them innovate in response to changing customer demands, the adoption of new technology, and global competition. This is driving demand for more intelligent, flexible, configurable, and automated industrial machinery equipment. This can be achieved with a connected digital thread that helps automate the processes of remotely monitoring and sharing machine effectiveness between design teams, analysts, and service engineers.
Internet of Things (IoT)-driven condition monitoring supports closed-loop processes that can validate machine simulations by capturing and validating the relationships between requirements. Improved validation can also lower the cost of ensuring the changes will work as intended before they are pushed out to production. Being able to do that digitally can help you innovate more effectively and deliver higher quality machines than your competitors.
By capturing real-time field data, the accuracy of models can be improved over time by analyzing data from the machine’s performance. This can help to improve the next generation and iteration of your machines. Forward-looking simulation practices are especially valuable with a closed-loop solution, in which data collected from the field through IoT and associated physical testing can be used to validate the virtual simulation.
Watch the on-demand webinar to learn more about how IoT and condition monitoring can help drive innovation through simulation for machine builders.
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Maximize overall machine effectiveness with remote condition monitoring
Factories and plants around the world are looking at how digital transformation can help them innovate in response to changing customer demands, the adoption of new technology, and global competition. This is driving demand for more intelligent, flexible, configurable, and automated industrial machinery equipment. This can be achieved with a connected digital thread that helps automate the processes of remotely monitoring and sharing machine effectiveness between design teams, analysts, and service engineers.
Internet of Things (IoT)-driven condition monitoring supports closed-loop processes that can validate machine simulations by capturing and validating the relationships between requirements. Improved validation can also lower the cost of ensuring the changes will work as intended before they are pushed out to production. Being able to do that digitally can help you innovate more effectively and deliver higher quality machines than your competitors.
By capturing real-time field data, the accuracy of models can be improved over time by analyzing data from the machine’s performance. This can help to improve the next generation and iteration of your machines. Forward-looking simulation practices are especially valuable with a closed-loop solution, in which data collected from the field through IoT and associated physical testing can be used to validate the virtual simulation.
Watch the on-demand webinar to learn more about how IoT and condition monitoring can help drive innovation through simulation for machine builders.
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