By Felix Mergele Deloitte and PROSTEP have implemented a number of practice-oriented use cases for end-to-end data processes at Deloitte’s “Smart Factory”, with an end-to-end digital process chain that links …
By Johannes Lützenberger Getting to grips with changes poses a major challenge when it comes to developing complex, software-intensive products. Companies therefore need a cross-domain global change management system that …
PROSTEP is expanding its collaboration with MTT Solutions GmbH, which specializes in the digitalization and optimization of business processes in the SAP domain. The Benediktbeuern-based IT services provider will support us with ERP integration in customer projects and help us to further develop our integration solutions for SAP.
The hyped-up topic at this year’s prostep ivip Symposium was without question artificial intelligence, which was addressed in Expert corners, workshops and even in several presentations by customers. Generative AI in particular promises spectacular time savings in application areas such as automatic code generation. However, the question I ask myself is what AI can do to better help tackle the real challenge posed by digital product development, a challenge that the prostep ivip community has been grappling with for over three decades: namely cross-enterprise collaboration.
IMS is the world’s leading manufacturer of X-ray, isotopic and optical measuring systems for steel, non-ferrous metal and aluminum production. The company has implemented a mechatronic development process and automated engineering to a greater extent in order to handle customer-specific development projects more efficiently. PROSTEP provided IMS with advice during implementation.
PROSTEP and PROSTEP’s subsidiary BHC demonstrated their close alliance at the 2024 prostep ivip Symposium with a shared booth in a central location. And in Expert Corners, workshops and presentations, our employees demonstrated that they are helping shape current topics of digitalization, such as artificial intelligence (AI), agile software development and collaborative digital twins.
Efficient variant management of smart, connected products is the key to the future success of manufacturing industry. At the same time, the variance in products that include electronics and software places particular demands on variant management as it requires a cross-domain approach. With OpenCLM, PROSTEP offers a solution to this challenge that takes a graph-based approach with integrated data linking.
Computers have been transforming all disciplines of traditional engineering for the better part of the past 50 years: first slowly, then suddenly.
The exponential acceleration of innovation has introduced one major challenge—how do we foster interoperability between engineering platforms?
Digital Engineering (DE) and Model-Based Systems Engineering (MBSE) are complex processes designed to bring traditional engineering into the next era of transformational innovation.
Today’s engineers are privileged to have improved development processes through Model-Based Systems Engineering (MBSE). This has created a paradigm shift in systems engineering, enabling engineers to fully streamline processes and foster collaboration inside and outside the organization.
New use cases and business models require new integration concepts. Conventional data integration and synchronization, with which we here at PROSTEP have decades of experience and can do blindfolded, need to be supplemented with innovative new integration concepts if the flow of information in companies and their supply chains is to be managed as best possible. These new integration concepts have to meet three key requirements: they must be able to link data across domains, support traceability in both directions (forward and backward), and integrate suppliers in the digital thread.
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