Increasing product complexity and the associated impact on production is a key challenge for plant and machine engineering in today’s industrial companies.
The individuality and dynamics of the markets as well as increasing global competition – even in previously established traditional markets – are forcing industrial companies to constantly optimize the performance of their engineering processes from product development to production in order to remain competitive. The conflicting goals between the individuality and dynamics of the markets and process excellence in engineering (efficiency, speed and reliability) must be made manageable.
The lack of a continuous data chain from development to operation leads to isolated information silos, manual media breaks and thus to delayed decisions.
Inconsistent and incomplete master data and engineering information undermine automation, correct generation of artifacts and trust in the digital twin.
Non-standardized, ad-hoc solutions and a lack of modularization lead to a build-up of technical debt, which makes subsequent changes and scaling more expensive.
Errors that are discovered late (e.g. due to a lack of standardization or inconsistent views) cause costly rework and extend time-to-market.
Without prior testing: The lack of virtualized tests / virtual commissioning (SiL/HiL, simulation) increases the risk of expensive functional errors and delays in real commissioning.
Digitalization in plant and machine engineering: from the inquiry to the finished machine
Standardized, parametric function modules and templates increase reuse, ensure data consistency across disciplines and measurably shorten engineering lead times.
SiL / HiL and virtual commissioning (e.g. with NX MCD, SIMIT, PLCSIM Advanced) identify interface and logic errors at an early stage, reduce rework and significantly lower the risk of IBN.
AI-supported automatisms (e.g. for specification analysis, auto-generation / checking of artifacts, data quality checks) reduce routine work and errors, accelerate decisions and increase the quality of results.
Find out more about Application Lifecycle Management for your applications
Break through silos: The comprehensive digitalization and integration of all engineering disciplines is the decisive lever for mastering complexity and ensuring the highest quality.
SaaS Planview HUB: ROI of 150% thanks to seamless toolchain integration and data silo connection
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