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Traceability is the key to digitalization

Wednesday, November 11th, 2020

The increasing complexity of products and processes is making it more and more difficult for companies to keep track of the current status of their development projects and seamlessly trace all development steps. The traceability of all relevant information across system and domain boundaries not only requires new tools but also opens up new perspectives. The newly created knowledge about relationships can be used over the entire product lifecycle through to the operating phase for new use cases and business models. This makes traceability the key to digitalization.

Traceability refers to the ability to trace at any time how the requirements placed on a system have been implemented, simulated and validated and which artifacts are associated with which requirements. Although this is not a new topic, the trend towards smart products means that it has grown enormously in importance. Electronics and software control an ever increasing number of safety-critical functions, not only in automobiles but also in other products, and these functions need to be validated virtually. One example would be autonomous vehicles. Testing every imaginable driving situation on the road would be far too time-consuming and risky. If their vehicles are to be certified for use on the road, carmakers and their system suppliers must, for example, be able to provide detailed proof of which situations they have simulated under which circumstance and with which tool chains.

Traceability is not only an issue for companies in the context of functional safety and compliance with the associated traceability requirements; it also plays a key role when it comes to digitalizing their business processes. Companies in every industry are trying to design their processes more consistently and therefore have to cope with a growing flood of digital information. The real challenge is not managing the digital information but rather managing the relationships and dependencies between the individual information objects. It is, for example, impossible to reliably assess the impact of changes without this knowledge about relationships.

Especially in complex development projects, e.g. in the shipbuilding industry and the mechanical and plant engineering sectors, project participants from different disciplines and domains today need to expend a great deal of communication effort to determine which data and documents correspond to the current development status – and all the more so since they often belong to different organizations. At certain milestones or quality gates, they have to prepare and collate the deliverables in what is a largely manual process in order to gain an overview of the progress being made in a project and possible deviations from the planning status.

Traceability is becoming increasingly important in the context of the digital twin and support for new, data-driven business models through digital twin applications. It establishes the link between the digital master or digital thread and the digital representative of the product that is actually delivered and provides the basis for enabling information from the operating phase to be fed back into and reflected in product development. Without this link, it is impossible – or takes a great deal of effort – to trace errors that occur during operation back to their possible roots in the development process, analyze them and thus eliminate them faster.

There are therefore many good reasons to explore the question of how to ensure traceability as efficiently as possible. Traceability is an essential prerequisite for providing evidence of compliance with the relevant standards and maturity models. It ensures greater transparency in the interdisciplinary product development process and plays a key role in speeding up product development and improving competitiveness thanks to innovative services. This benefits not only product developers, project managers, quality managers and service technicians, but ultimately also a company’s partners and customers.

Today traceability is made more difficult by the fact that the different disciplines and domains create and manage their information objects and development artifacts using hundreds of different IT systems, which are often only integrated in a rudimentary form. System landscapes are also changing very dynamically because new products call for new and better technologies for their development and production. Therefore a key requirement for any solution for ensuring traceability is that it functions independently of the IT systems used.

It is our opinion that traceability can no longer be ensured using conventional integration approaches – at least not with an acceptable level of effort. Instead of replicating the relevant data in a higher-level system, the approach that we are pursuing involves the lightweight linking of information objects located in different source systems. What is crucial here is that we do not generate the links retrospectively but rather determine from the start which information objects are to be related to each other and how, while at the same time taking account of the relevant standards and maturity models. This is the fundamental difference between our approach and other linking concepts. Please contact us if you would like to learn more.

By Karsten Theis

Harmonizing product, process and service An Interview with Prof. Dr.-Ing. Oliver Riedel

Wednesday, November 4th, 2020

It is necessary to take a holistic view of the development, production and operation of complex product-service systems. The Fraunhofer IAO is developing technologies and methods to do this as part of the strategic research program Advanced Systems Engineering (ASE). The director of the institute, Professor Oliver Riedel, describes the scope of the approach and the challenges posed by implementation.

Question: Professor Riedel, what is meant by advanced systems engineering and what makes it different from systems engineering?

Riedel: In the past we haven’t been able to establish systems engineering in such a way as to deliver really good solutions for the combination of product, process and service. Systems engineering works reasonably well for mechatronics and software engineering but often fails in industrial practice because of the complexity of the approach and the organizational structures it requires. Advanced systems engineering (ASE) is designed to address precisely these issues and to better support companies when it comes to implementation.

Question: Does the term ‘advanced’ refer to systems or to engineering?

Riedel: It can be understood as a triangle that brings together the three aspects of advanced systems, systems engineering and advanced engineering. Advanced systems describe increasingly complex and networked market services, systems engineering describes the coordination and structuring of the cross-functional, interdisciplinary development of complex systems, and advanced engineering deals with best practices with regard to methods and tools in engineering, as well as agile approaches and creativity techniques. The aim is to break down domain silos and enable interactive collaboration in both product engineering and production, in other words to achieve a holistic view of the innovation processes.

Question: Are you placing the primary emphasis with ASE on dovetailing product development with production and production planning?

Riedel: Not quite, we are going even further. After all, products and processes are still largely developed in-house. In the case of product-service systems, the service is provided after the start of production, when the product is already on the market. And things that change the product without any physical add-ons, such as big data analytics or product updates over the air, play a role here. The system must be described as a coherent whole, in order to be able to use it in product development, virtual try-out, the digital factory and, most importantly, in the field of service.

Question: And what does that mean in concrete terms?

Riedel: Let’s take Homag and its highly complex custom systems for the woodworking industry as an example. The company has adopted an ASE approach, in order to achieve one hundred percent mapping of the digital twin. However, this twin does not reside in the development department but instead accompanies production virtually. If the owner of the machine wants to use the machine to run a new production program, they can try it out virtually on their system. The digital twin is used as a service during operation.

Question: Implementing systems engineering in development is already a complex task. Are you not merely compounding the complexity by integrating production and service?

Riedel: Of course, the notion of service is an additional dimension but that doesn’t necessarily make things more complicated; it simply brings together those processes that are still segregated today. There must be a single source of truth for the entire system. In other words, the system model must be linked with the service structures when the system is really running. Nowadays, we don’t get the data back from the field so that we can map it to the product and offer additional services. But the product lifecycle doesn’t come to an end when the product is delivered. We need redundancy-free storage of data throughout the entire lifecycle, despite the user having a different view of this data from that of a developer.

Question: In principle, ASE requires that everything should be defined from the outset. Doesn’t that clash with the philosophy of the agile approach?

Riedel: No, I don’t think so. In the model-based approach we have for simulation technology what is known as black boxing. I can create certain components as black boxes with inputs and outputs without having defined them in full detail, either because I don’t yet know the solution or because I’m not interested in it at present. I don’t need to know the internal workings of each black box from the word go. I just know that it has to be there. If you apply this paradigm broadly, you easily get to agility. The only question is whether there are enough description languages that can cope with the various modeling depths in the simulation.

Question: Is ASE model-based by definition or are there other approaches?

Riedel: I’ll answer that with another question: Is there anywhere you can still do without models today? Yes, it definitely has to be model-based, because we would otherwise be unable to achieve coverage of all the phases or the required depth.

Question: What models are required for this? If you want to dovetail product, process and service, surely you have to start with the requirements?

Riedel: Exactly, this is one of the issues that is the subject of intense discussion. Can we achieve this with one data model across the entire lifecycle or do we link models? From my practical experience in industry, I would prefer linked models because a single model would eventually become too much for me. Not only that, I’m also no longer interested in the fine details of the requirements model after a given phase. In order to go into production, I need other models, but it must be possible to link them to each other, in much the same way as the different views in PDM. And when I go out into the field, it is again the case that I no longer need certain details. But I must be able to establish relations in both directions. In other words, I am linking my models but the content doesn’t have to be a permanent part of every version of the model.

Question: Can ASE work in conjunction with external suppliers? Don’t you reveal too much product know-how if all the information is contained in a single model?

Riedel: That’s a very good point, and it brings us to the operational use of such models. Until now, we’ve only talked in the abstract about what they might look like in a perfect world. The management of roles and permissions, which is already a hot topic in the distributed development process, becomes an even greater challenge when the network is extended to cover the users of the product as well.

I clearly don’t want users to see everything, but just the relevant information and structures. Ensuring the management of roles and permissions beyond the current system boundaries is a truly intriguing issue.

Question: Are there any companies that have already implemented ASE right through to service provision?

Riedel: Unfortunately, there are very few due to the fact that there are three major hurdles to overcome. Firstly, there are technical hurdles such as model-based description languages, but these will be overcome at some point. Then there are organizational hurdles within companies. Perhaps these will begin to fall away a little as a result of the coronavirus, because many people realize that we would be much further down the road if we already had connectivity across domains. Companies are not yet organizationally geared up to plan and control product lifecycle support. And then there are the human hurdles. To start with, you have to get engineers onboard in your journey into the next dimension and get them to understand the growing complexity that comes with it. At the moment, I think that the organizational and human hurdles are greater than the technical ones.

Question: What is the focus of the ASE research program at Fraunhofer IAO?

Riedel: We have decided on six areas of study, which we work on in two directions. The first of these areas is model-based system development, including cross-domain aspects such as data analysis, in other words, the extension of current methods. The second is value-stream-oriented product design, i.e. the use of process information from production for product design. For this to succeed, the value stream must be defined at an earlier stage than it is currently. The third area is the evaluation of data from production planning and production using artificial intelligence (AI). And the fourth area also has to do with AI, but in this case, it is about evaluating the large volumes of data from the product engineering process in order to provide product developers with recommendations for best practice. The fifth area deals with system configuration, i.e. how to configure not only the product but also the process and the service, for example in order to be able to assess the impact that changes made to the product may have on the process. The last area we are investigating may be somewhat old-fashioned, but we must have another look at the PLM systems. They are still not in a position to support ASE.

Question: Where, for example, should the product-specific process information be managed? This issue is actually more closely related to MES.

Riedel: We undoubtedly need MES functionality to be integrated into PLM, either via interfaces or by running it on the PLM infrastructure. Assuming that MES and PLM systems were to evolve towards service-oriented architectures, the existence of x different systems wouldn’t be tragic because they would be based on a data repository, and this would ensure that the models were linked and would guarantee their consistency and integrity. However, this runs quite counter to the architectural pattern of today’s PLM systems.

Question: A moment ago, you spoke of ‘two different directions’. What did you mean by that?

Riedel: We have had long discussions with the Ministry of Economic Affairs of the State of Baden-Württemberg, Germany, about how we can ensure that the issues are quickly made tangible for local companies. So we set up a mobile lab in which we are using a relatively simple product with a service feature and a production system that can be quickly understood to illustrate the interaction of engineering, production processes and service. The lab is housed in a shipping container, which is currently standing on our premises due to the restrictions resulting from the coronavirus pandemic. The other direction is to build a similar lab at the Fraunhofer IAO, but this one is oriented more towards research.

Question: What insights can companies expect from this plug-in lab?

Riedel: To start with, they can quickly grasp exactly what is meant by model-based system development or value-stream-oriented product design. The idea is that they can feed their own data into the lab equipment and directly identify the added value. We want to use a simple example to demonstrate to companies how ASE works.

Professor Riedel, thank you very much for talking to us.
(This interview was conducted by Michael Wendenburg)



About Professor Riedel

Professor Oliver Riedel (born 1965) has been head of the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart since November 2016 and is also a director of the Fraunhofer Institute for Industrial Engineering (IAO). Professor Riedel studied Cybernetic Technology at Stuttgart Technical University, where he completed his doctorate at the Faculty of Engineering Design and Production Engineering. He has been working on the principles and practical application of virtual validation in product development and production for over 25 years. Professor Riedel is married with one grown-up son.

Further information is available at www.iao.fraunhofer.de

PLM is a long-distance flight An interview with Dr. Henrik Weimer

Thursday, October 15th, 2020

Dr. Henrik Weimer, who was recently appointed spokesman of the board of the PROSTEP ivip association, is primarily responsible for the corporate IT architecture for digital design manufacturing and service capabilities at Airbus. In an interview, he explains the challenges facing the aircraft manufacturer in the design of its PLM architectures and where the aerospace industry is headed.

Question: Mr. Weimer, you are responsible at Airbus for corporate architecture in Digital Design Manufacturing & Services. Is all this part of PLM?

Weimer: We’ve come a long way to our current understanding of PLM, from product data management to the entirety of the engineering tools we use to support our product development, to the idea of the model-based company. What we call PLM today is really an integrated and model-based approach to design, manufacturing and services. Not only do we describe our products in models, we also have models of our industrial process and the support and service processes. The challenge is to represent the trade-offs across all these disciplines. For example, whenever we make a product change, we need to be able to see how it affects the industrial process and what impact it has on support and service and on my customers – doing this analysis based on models and simulations.

Question: How does Corona affect the PLM strategy and ongoing initiatives?

Weimer: Of course, the Corona crisis affects aviation particularly strongly. This is a dramatic situation for the industry, which is why the industry is focusing on the essentials. But the crisis is also an opportunity for PLM and digital transformation, as I have said elsewhere, because the decline in activity in certain areas reduces the cost of transformation, creating opportunities, and gives us access to resources that may not have been available to us before.

Question: Can the Airbus PLM strategy be described in a few sentences?

Weimer: We have an enormous diversity of around 3,000 tools around the PLM, which means we have extreme complexity and extreme integration problems, which results in processes that are not yet particularly consistent. Where we had a best-of-breed approach for every capability in the past, today we think this complexity reduces innovative strength and is not cost-optimal. Therefore, our current vision is to move more towards integrated platforms, which is why we have entered into several partnerships. For example, we partner with Palantir to bring data analytics and the product digital twin together in the Airbus platform Skywise, making it available to our customers as a product. We have also entered into a strategic partnership with Dassault Systèmes. Our vision is to establish 3DEXPERIENCE as the collaboration platform for digital design, manufacturing and services to move towards more integrated, model-based and data-driven processes. Then there are capabilities for various disciplines orchestrated through 3DEXPERIENCE. This can include proprietary or 3rd party capabilities, e.g. for configuration management, which are not efficiently supported by today’s commercial solutions.

Question: What does the strategic partnership with Dassault Systèmes mean for the other PLM systems in use at Airbus?

Weimer: PLM is a lifelong journey, and over the years there have always been opportunities to work with different partners. For example, Windchill was selected as the PDM platform for the entire Airbus Group at the beginning of 2000 and continues to play an important role. Similarly, we selected Aras more as a niche solution on the PLM periphery to better control creativity in our business. Finally, we develop many process automation tools and solutions internally, e.g. for structural testing, aerodynamics simulation, etc.

Question: How many different PLM architectures are there at Airbus? One for each aircraft program?

Weimer: That would be too much simplified. Every time we launch a new product program, we have the opportunity to invest in innovation and digital process improvements. We started in the 1980s with the A320 program with integrated product data management, then in the 1990s with the A330 / A340 program, we first introduced the 3D digital mock-up in addition to PDM. Then came the A380 in early 2000, where we worked with the 3D model as the master and integrated processes for configuration management. This was followed by A400M, A350, and other developments that went deeper into the journey to model-based and digitally integrated processes. PLM architectures evolve significantly from one program to another to drive our digital transformation, but there are always elements that are reused to leverage our past investment, and to reduce risk for the next program.

Question: Will the process improvements also be fed back into the running programs?

Weimer: We return them to where we can generate added value through the investments. Because the initial investment has already paid for itself on the new program, it is easier to finance retrofits of the capabilities in running programs. In addition, even our legacy aircraft programs still run significant developments, such as the re-engineering in the A320Neo and A330Neo programs, or the current development of the A321XLR, with which we are dramatically changing the range and market positioning. With each new product variant, we have significant development expenses again and can also justify investments in digital transformation and further process improvements.

Question: How far have you progressed with the Group-wide harmonization of PLM architectures?

Weimer: Airbus was founded in 1969 as a kind of association with an integrated product, but this product was developed by four different companies that had different processes and IT systems. We have been an integrated company since the beginning of the millennium and have also made enormous progress in integrating the system landscapes since then. With programs such as the A400M or the A350, there is only one set of processes, methods and tools that is used at all locations, not only in the founding countries but also in the global engineering centers across the globe. And we have now an aligned strategy also across business units driving through a single group-wide digital design, manufacturing, and services transformation program addressing all business lines and product families.

Question: Are the methods of Model-Based Systems Engineering already firmly integrated in the product development process?

Weimer: For many years now, we have had approaches towards MBSE in various areas such as powerplant, fuel, noise, electrical or avionics. What we are still working on is to better and more globally integrate this in order to be able to consistently present the trade-offs between the product as a system, the industrial system and the support and service system. To achieve this, cross-disciplinary cooperation in Model Based Systems Engineering must be improved even further.

Question: How universally is the Digital Twin used today at Airbus?

Weimer: As I said, we offer it as a service via the Skywise platform. Our products have the option of uploading data from operations to the platform, so that we can provide our customers with analytics services for route optimization or maintenance planning optimization, as examples. In addition to the Digital Twin capabilities for our customers, there are also projects in production to calibrate our models and optimally control processes via analytical control procedures. One example is the topic of fasting – there are tens of thousands of fasteners in an aircraft. Using IoT-connected tools, we can prove which elements have been set and with what torque they have been tightened, thus reducing inspection costs.

Question: At Airbus you are also responsible for PLM research. Where are the main focuses in this area?

Weimer: A good example is the topic of 3D printing. We see an enormous potential for 3D-printed components and have therefore had projects in the recent past to make design optimizations. For this purpose, we have developed new capabilities in our partnership with Dassault Systèmes, in order to optimize the shaping of the parts on the one hand and the printing process on the other.

Question: In which PLM topics do you see the aerospace industry ahead and can perhaps serve as a model for other industries?

Weimer: I find it difficult to make a statement on this because it might sound arrogant. My personal conviction is that we have to remain humble and can all still earn from each other. Nevertheless, the aerospace industry certainly has a long history in all topics related to safety and the verifiability of product safety. There are many regulatory requirements where we have to prove very precisely, for example with the help of systems engineering, that our product meets these requirements. And the industry as a whole is deeply collaborating to achieve these safety targets, including the regulators, international governance bodies, etc. Here I see many parallels with autonomous driving in the automotive environment, where there are still no clear regulations and requirements that are internationally standardized.

Question: Do these experiences flow into the projects of the prostep ivip association?

Weimer: Yes, we have, for example, just started a project on the topic of Model Based Verification and Validation on the initiative of colleagues from The Boeing Company. One of the aims of this project is to use simulation models for such verifications. We want to be able to prove that the simulation correctly represents reality in order to avoid physical test set-ups.

Question: Which accents would you like to set as the new spokesman of the association’s board?

Weimer: We have similar challenges in aerospace, automotive and other industries when it comes to optimizing products and production processes. In my opinion, the association is an excellent platform for collaboration, for learning together and defining best practices, especially in the interaction with our supply chains. The idea of collaboration is a passion that I bring with me. The second topic I want to work on is internationalization, because I believe that innovations around our topics are not tied to a geographical region.

Mr. Weimer, thank you very much for the interview.
(The interview was conducted by Michael Wendenburg)


About the person

Dr. Henrik Weimer (1971) has worked in Airbus since 2002 and is currently Senior Manager responsible for the architecture and integration of end-to-end PLM solutions, demand and business planning for PLM, as well as innovation, research and development in these areas. Previously he held various management positions in IT at Daimler AG. Weimer studied computer science and electrical engineering at the Technical University of Kaiserslautern and received his doctorate in computer science from Rice University in Houston. Since 2018 he has been a member of the board of the prostep ivip association, which recently appointed him as its spokesman.

ProProS research project enters crucial phase

Thursday, September 17th, 2020

Following successful completion of an assessment of the current status, the joint research project ProProS being carried out by the Bremen-based Lürssen shipyard group, the Machine Tool Laboratory (WZL) at RWTH University in Aachen and PROSTEP AG is entering the crucial phase. The task now is to develop new methods for end-to-end digitalization of the shipyard’s manufacturing and assembly processes.

Production planning in shipbuilding is characterized by a poor overview of the planning status at the different planning levels and a low-level feedback that is provided late by production. As a result, delays often occur because problems are identified too late and planners have a difficult time finding alternative production paths. The shipyard expects increased digitalization of the processes and the implementation of new tools for anticipatory production planning and control to shorten lead times for the individual departments and result in more efficient use of the infrastructure and available resources.

The aim of the ProProS project is to create a digital twin for the shipyard’s manufacturing and assembly processes that can be used for status monitoring and for optimizing shipbuilding. Together with the WZL’s manufacturing experts, who are responsible for developing the production technology logic, we will be mapping the planning data from the target process (product structure, work orders, assembly sequence, scheduling, etc.) in an end-to-end data model, so that it can be compared in real time with the actual data from production and assembly.

The joint project has an overall budget of 3.2 million euros and is sponsored by the BMWi. It is coordinated by the Lürssen shipyard group and is divided into different phases. The first two milestones involve mapping the material flow in order to recognize where the parts to be manufactured are located and to integrate the target data from planning. This data is then to be compared with the actual data in future milestones in order to detect deviations and adapt the planning data if necessary. The project will run until 2022. The project partners are planning to present the first interim results at COMPIT 2021.©

By Carsten Zerbst

PROSTEP TECHDAY 2020 – online!

Thursday, September 17th, 2020

Due to the corona pandemic, we will be holding the traditional PROSTEP TECHDAY as online event this year so that customers and interested parties can find out about new products and news from our company without risk to their health. The live sessions will take place on November 17, 2020 and will be recorded. Please, save the date.

PROSTEP TECHDAY is the free forum for the PROSTEP community that takes place every two years. At the event, we regularly inform customers and other interested parties about important innovations in our range of solutions and present them with roadmaps for the further development of our software solutions OpenPDM, OpenDXM GlobalX and PDF Generator 3D. In addition, renowned users will give short presentations to the participants, explaining the benefits of our solutions in productive use.

On November 17, 2020, there will be three independent sessions, each lasting 90 minutes, so that participants will be free to choose whether to participate in one or more blocks. We will also be recording the entire event so that interested parties can watch it at a later date. The opportunity to discuss with the speakers will of course only be available when participating in a live session.

The PROSTEP TECHDAY will focus on our extended range of cloud-enabled solutions. We will explain how you can use our data exchange platform OpenDXM GlobalX with extended functions and integration solutions “On Premise” or alternatively as a SaaS (Software as a Service) model without any installation or operating costs.

We will present the newly developed MicroServices architecture of our OpenPDM platform, which supports PLM integration, migration and collaboration in a hybrid on-premise cloud environment. And we will present our solution for the automated generation of spare parts catalogs and the provision of service content on the Web. We will also give you a first insight into OpenCLM, our newly developed solution for cross-domain configuration lifecycle management and ensuring traceability in complex development projects.

By Peter Pfalzgraf

Record year for the PROSTEP Group in North America

Sunday, July 5th, 2020

Major projects in the automotive, aerospace and defense industries for PLM & ERP integrations, PLM migrations, secure B2B data exchange and lightweight Technical Data Package publication (TDP) help PROSTEP’s North American subsidiary achieve a record year. Despite COVID-19, PROSTEP Inc. increased its revenues by around 40 percent in the last fiscal year, which ended on June 30, 2020.

Two major automotive suppliers have been helped by PROSTEP Inc. to close gaps in the control of the release of their intellectual property and to increase the security, traceability and user-friendliness of their processes with the OpenDXM GlobalX data exchange solution. Each company has purchased several thousand end-user licenses at a fraction of the cost of operating its own proprietary internal portals or other third-party MFT tools. One of the two companies focused on purchasing and ERP integration for the secure exchange of quotation data when using OpenDXM GlobalX. The other has deeply integrated the solution into the PLM environment to seamlessly send large CAD files to development and design partners.

Furthermore, PROSTEP Inc. has enabled one aerospace customer to publish highly configured TDPs for the rapid distribution of lightweight CAD data, parts lists and technical specifications. All data is combined into a single PDF package using PROSTEP’s PDF Generator 3D. Another project in the aerospace industry was aimed at improving interoperability between PLM, MES and ERP through a robust and distributed microservices-enabled Enterprise Server Bus in secure networks. The basis for this is the OpenPDM integration platform from PROSTEP.

In the space sector, PROSTEP Inc. integrated CAD and other product data from PLM and simulation data management systems for a customer. For another, the company started with a proof of concept for the MBSE federation between requirements, SysML and PLM systems. OpenPDM provides the backbone interoperability that coordinates workflow transactions between the systems of different software OEMs. The seamless synchronization of data between two different PLM systems to create the Digital Thread is the subject of a pilot project in the defence sector that will last several years.

“I am proud of the entire PROSTEP team and especially of our team in North America,” commented Karsten Theis, CEO of PROSTEP AG, on the successful fiscal year of PROSTEP Inc.

“In 15 years of our presence in North America, we have built an incredible portfolio of products and technical capabilities to meet the increasingly complex needs of our customers. This has enabled us to fire from all pipes in 2019”.

Commenting on the impact of COVID-19, Theis said: “Fortunately, at the beginning of the pandemic, we had already completed most of our U.S. business for fiscal year 2019 and were in the final stages of delivery. The real test will be the course of the year 2020/2021. Several projects have been delayed, but we hope that they will soon pick up speed again. Like all companies, we are adapting to the new normality of working from home”.

Shortly before the pandemic, PROSTEP Inc. rented larger offices, almost doubling the company’s working space. To date, however, US employees have not been able to work in the new offices for a single day because the move-in date coincided with the first lockdown in Michigan at the end of March. Now they hope to inaugurate the new offices in early 2021.

PROSTEP Inc. was founded in 2006 in Birmingham, Michigan, right in the heart of the US automotive industry. Over the past 14 years, it has made a significant contribution to strengthening our footprint in the North and South American markets. It has become a recognized partner in the areas of data exchange, PLM integration and 3D PDF-based communication for companies in the automotive, aerospace and defense industries across the pond. Not least thanks to our US subsidiary, we are now able to successfully handle larger global projects.

As a wholly owned subsidiary of the PROSTEP Group headquartered in Darmstadt, Germany, PROSTEP Inc. does not publish independent financial information. Customer names are also kept confidential upon customer request.

For further information, please contact: paul.downing@prostep.com

By Paul Downing

There’s digitalization – and then there’s digitalization

Friday, May 1st, 2020

In the last newsletter, I wrote “To stand still is no option for us” with reference to the difficulties facing the management of companies in an age of global uncertainties. And then came the lockdown and suddenly (almost) everything ground to a halt. Admittedly, the coronavirus pandemic was not entirely unforeseeable, but we were unprepared for the scale with which it hit us. I do, however, feel that one point I made has been confirmed: The situation can only be mastered using an agile approach. And with an even greater level of digitalization, I would now add.

PROSTEP has been agile in its response to the lockdown. Our employees have been working from home from day one and can be contacted by customers. They are probably even easier to reach and are able to work more efficiently due to the fact that they are saving time they would normally spend visiting customers or attending events. Our software solutions support remote maintenance irrespective of location – if customers are not already using them as a cloud-based service. Thanks to the use of appropriate IT tools and methods, we are even able to conduct consulting workshops online. I’m surprised how well they work, even with new customers, with whom we first need to establish a sense of trust. It is possible to do more online than I anticipated, even if we cannot and do not want to dispense with face-to-face meetings entirely in the future.

The coronavirus crisis has shown us just how important digital technologies are when it comes to staying in touch with colleagues, partners and customers, and working together with them efficiently despite the lockdown. The crisis has not only provided a boost to digitalization in companies but also in official agencies and authorities, schools and medical facilities that we would never have been able to imagine a few months ago. And despite years of complaints about a lack of Internet bandwidth in Germany, everything is working surprisingly well.

The digital progress made over the last few months will irrevocably change the way we work and our mobility behavior, especially as the virus will be around for some time to come. There’s digitalization – and then there’s digitalization. The boost to digitalization triggered by the coronavirus applies in particular to communication processes, which can be digitalized relatively easily with Teams, Skype or Zoom and a good Internet connection. However, it is not yet possible to predict how long-lasting this boost will be for other business processes in which the end-to-end utilization of data and information is particularly important. Because in these cases simply introducing a few new tools is not enough.

The fundamental problems with end-to-end digitalization in product development and manufacturing cannot be solved by digital communication processes. Digital information flows are still hindered by heterogeneous system landscapes involving a large number of individual data silos and poorly integrated processes. The solution to these problems requires not only technical answers but also changes to the organization and to the process landscapes of the companies and, more importantly, a long-term digitalization strategy.

One of the most important lessons learned from the numerous strategy consulting projects that we have carried out in recent years is that companies are not fully exploiting the potential offered by their existing PLM landscapes. The reason for this is not necessarily the PLM systems, which have also become increasingly powerful in recent years, but to the way users work with them. In many cases, they are performing their work the same way they did prior to the introduction of PLM instead of rethinking their processes and methods and adapting them to take advantage of the new possibilities. Sticking with old approaches leads to highly customized PLM solutions. This not only has a negative impact on the ability to update the solutions but also makes it more difficult to respond agilely to new demands placed on PLM landscapes due, for example, to the increasing networking of products and new service-oriented business models.

My hope is that once the coronavirus crisis is over, companies will not immediately return to business as usual but instead will use the time during which business is still somewhat slower to lay the foundation for the digital transformation of their business processes. Regardless of which IT systems they are using, they should determine what information they need for which processes and in what form it needs to be available in order to be able to use it consistently throughout the whole product lifecycle. Thinking about the flow of information from the perspective of the end of the product lifecycle can be useful, especially when it comes to providing support for new service models.

The coronavirus crisis offers companies an opportunity to put their processes and methods to the test, to better integrate their system landscapes and, if necessary, to even roll out new IT tools. They should seize this opportunity to emerge from the crisis digitally stronger. We can provide them with effective support. Based on the analysis of their existing and future PLM capabilities, our strategy consultants identify gaps and potential in the process and system landscapes and, together with the customer, design a PLM infrastructure that will hopefully also be able to withstand the next crisis.

By Karsten Theis

The right advice when choosing a PDM system

Friday, April 24th, 2020

Finding the right PDM system is a challenge for companies with limited IT resources and with no expertise in the field of PDM. This is why Oberhausen-based GHH-Radsatz GmbH, which is part of the GHH-BONATRANS Group, brought in the PLM consultants from PROSTEP. They not only supported the company in defining the requirements and selecting the system, but also accompanied the pilot implementation.

Wheelsets have been made in Oberhausen for more than 200 years, although Gutehoffnungshütte Radsatz GmbH was only founded in 1994. Since 2014, the company has been part of the GHH-BONATRANS Group. With its global workforce of 1,700 and sales of over 300 million euros, the group is Europe’s largest manufacturer of wheelsets for all types of rail vehicles. In addition to its two development and production sites in Oberhausen and Bohumín in the Czech Republic, GHH-BONATRANS has a further production site in India and a sales office in Hong Kong.

The 280 employees at the Oberhausen plant primarily develop, manufacture and sell light-rail applications with rubber-sprung resilient wheels for trams around the world, but also wheelsets for heavy-rail applications ranging from underground and metro to high-speed trains and railway construction equipment. The staff at the Czech sister company BONATRANS are responsible for developing and producing wheelsets with solid wheels for conventional trains, high-speed trains, locomotives and freight cars. Their own hot forming facilities also allow them to supply forged parts for wheels and shafts, which are machined in Oberhausen and fitted in the wheelsets.

Every year, GHH-Radsatz supplies around 6,000 wheelsets and 40,000 wheels to rail vehicle manufacturers such as Alstom, Bombardier, Stadler, Skoda and Siemens as well as to rail operators. According to Dr. Sven Jenne, Director of Engineering and Research & Development in Oberhausen, Germany, around half of the business is in the aftermarket segment, since wheels are wearing parts. “There is an extremely large range of variants. This is because wheels and wheelsets have to be tailored to each vehicle project and adapted to the infrastructure. This is also our strength, because otherwise we would not be able to assert ourselves in the highly competitive market against competitors from Eastern Europe and increasingly also from China.”

Increasing effort invested in documentation

Compared to solid wheels, the amount of engineering effort needed to adapt the rubber-sprung tram wheels is greater, as their design is more complex. A V-shaped rubber ring between the wheel body and the tire ensures greater ride comfort. Design engineers must therefore always achieve a balance between strength, cushioning and mountability of the wheels. And Jenne explains that the V-shaped cushioning is unique to GHH-Radsatz. “Our GHH® V60 is the most widely used rubber-sprung resilient wheel in Europe.”

Every year, the company handles many concurrent projects, each of which can last between six and 24 months. The aim is to improve punctual delivery by detecting discrepancies in good time. Design engineers are under great time pressure, especially for new vehicle projects, as the time between order placement and delivery is becoming ever shorter, while delivery times for long-running items such as the forged parts are often beyond their control.

At the same time, the complexity of the projects and the amount of documentation needed are growing. Jenne: “Wheelsets are safety-relevant components, and the requirements with regard to traceability and also the volume of documents for each project and order have increased significantly in recent years.” The documents must be kept for 30 years or more because wheelsets have very long lifecycles and are constantly being reordered.

Time-consuming information retrieval

The file-based archive system made it increasingly difficult for users and company managers to keep track of the status of projects and, in the case of aftermarket projects, to trace which documents were actually valid. “Our staff spends a lot of time hunting down and collating information. That’s why we want to make it accessible to all those involved, regardless of the archive systems used in the individual departments, and in the process firm up the ‘memory’ of the company,” says Jenne, explaining the purpose of the PDM project.

In consultation with its Czech sister company, GHH-Radsatz decided to replace the archive system with a database-driven product data management system. When they embarked on the search for a suitable solution, however, it soon became apparent that the company was not in a position to get a clear picture of the multitude of solutions on offer and to assess their capabilities.

Jenne: “At times, we had the impression that we were using a sledgehammer to crack a nut, as we initially only needed part of the functionality offered by PDM.” That’s why PROSTEP was called in as a vendor-independent helper. The company’s PLM consultants not only know the systems and the vendors, but also bring along a wealth of experience from other selection projects.

As a first step, PROSTEP supported the project team in completing the requirements, structuring them clearly and creating a proper requirements specification. One of the most important requirements was the interaction with the Infor Smart Office M3 ERP system, which is currently critical for the creation of articles and BOMs and for order processing, and is intended to remain so. It was also important for the PDM system to offer a good interface to the SolidWorks design system, which is used in Oberhausen on 18 CAD workstations, and it should also be possible to connect it to the CAQ solution. In addition to the system’s integration capabilities, GHH-Radsatz also attaches great importance to simple system administration and the ability to further develop it in-house without the need for programming.

Benchmarking with three system vendors

Even though the first priority is to connect the existing systems and make information more readily available, the company has more far-reaching plans that PROSTEP also took into consideration when selecting the system. For example, the engineering change process, which is currently still entirely paper-based, is to be mapped to an electronic workflow. Jenne would also like to see greater digitalization of the entire order flow from the request for quotation, through design, material procurement and production, right up to dispatch and invoicing. This would be done by parallelizing certain tasks by something akin to PDM-driven project management. It would also help management to monitor the status of the projects and respond to discrepancies more rapidly.

In a professional selection process with transparent parameters, PROSTEP initially selected five candidates from a total of ten potential vendors. These were then invited to submit an offer. After the offers had been evaluated and discussions had taken place with the vendors, three candidates were shortlisted and were given the opportunity to demonstrate their programs on the basis of the use cases engineering change and order processing. This methodical approach to system selection ensured that the results were comparable. “We were always able to explain to management how we came to our decision,” explains Jenne.

Ultimately, the choice fell on the PRO.FILE software from PROCAD, although Jenne stresses that all three suppliers made a very good impression. The decisive factor was not only better value for money in terms of the costs of purchasing, rolling out and maintaining the software, but also the ease of configuration. “I was very impressed with how easily my colleagues were able to program, or rather configure, some wonderful things. This gives me confidence that we will easily be able to extend the solution in the future.”

The consulting service paid off

GHH-Radsatz spent about 10 to 15 percent of its total budget (excluding internal expenses) on consulting. According to Jenne, this was a wise investment because the company is confident that it has taken a decision that is sustainable in the long term. He would particularly recommend external consulting to smaller companies that are less familiar with PDM. “Thanks to the collaboration with PROSTEP, the vendors immediately realized that we knew what we were talking about. And I have the feeling that the consultants’ knowledge of the market also had a positive impact on the price negotiations.”

The company will begin rolling out the system this March. Rollout will be based on an existing prototype that PROCAD set up last year and which essentially maps all the planned functions including change management and order workflow. However, implementation of the latter is not planned until next year in order not to overburden users. The plan is to initially enable CAD data and document management with read access to ERP and CAQ systems. Before this can happen, however, large amounts of existing data from the various file archive structures will have to be migrated. Jenne explains: “We have already held a large number of workshops with PROCAD and PROSTEP on this aspect.”

In the long term, he expects the use of PDM to bring considerable benefits. Users will be more productive because they will spend less time searching for information. Processes will be accelerated by working in parallel, which will reduce throughput times. In addition, the status of projects will become more transparent, so that management can intervene more rapidly in the event of delays.

By Michael Manderfeld

No Digital Twin without Digital Thread

Tuesday, April 7th, 2020

Digital Twins offer the possibility to simulate the behavior of physical assets, to monitor them during operation and to continuously improve them. The data and models from planning and development form the context in which the operating data can be interpreted correctly. Putting them together from the wealth of available information is an essential prerequisite for the use of digital twin applications.

The Digital Twin is the digital image of a physical object or system, which can be a product, a production plant, but also a company or a process. The Digital Twin connects virtual planning and development models with the real product or production world in order to give people a better insight into the system and its condition or behavior. A vision in the sense of Industrie4.0 is to enable technically complex systems to control themselves autonomously and behave more intelligently through digital algorithms, virtual models and status information.

The functional relationships of a product or a production plant are defined based on customer requirements and in consideration of a multitude of legal requirements in product planning and development. Without knowledge of these interrelationships, the operating data that the real asset captures and provides in its later product life cannot be interpreted correctly. If you do not know how a machine or system is actually supposed to function, it is not possible to identify the causes of deviations from this target state or behavior beyond doubt and take appropriate countermeasures. At the same time, knowledge of the history of origins is also important in order to be able to assess for what reason, for example, a bearing has failed and which other machines could also be affected by the problem.

This connection between the real asset and the development and planning models describing its history is called a digital thread. It is the digital “red thread” that links the information of a real product instance across processes and IT systems. On the one hand, this makes it possible to bring together all the information from the life cycle of the product instance or the real asset and thus forms the basis for the creation of a digital thread. Without a digital thread, the digital twin can be reproduced manually, but it is difficult or impossible to keep it up to date. On the other hand, traceability along the Digital Thread allows decisions in development and production to be questioned and optimization potential to be identified with the help of the operating data.

Management of product configurations

From a PLM point of view, the starting point of the digital twin is a specific configuration of the product or production system, for example the asset in its delivered state. This includes not only mechanical, electrical/electronic and software components with their models, but perhaps also service-relevant information, such as the service life of certain components. Bringing this information together and maintaining it manually is time-consuming and error-prone, especially since the configuration changes over the course of the product’s life, whether through software updates or other measures in the context of maintenance or further development of the asset. The expectation of today’s PLM systems is to automatically extract the configuration for the Digital Twin and keep it up-to-date.

We speak here of the concept of Configuration Lifecycle Management (CLM), which makes it possible to generate temporally valid views of the product across IT system boundaries and to manage product configurations across all phases of the product lifecycle. The main function of CLM is to create and keep consistent the various views of the digital product model during the life cycle, and to document their validity over time. To do this, it uses cross-system and cross-discipline baselines. These baselines document the state of the configuration at a certain point in time or maturity level and thus also control the representation of the Digital Twin. They enable companies to immediately and reliably answer the question at any point in the process whether and how the product or asset meets the requirements placed on it or in what state the asset was at a defined point in time, for example, which product configuration was delivered to the customer.

In order to manage the configuration of a product along its entire life cycle in a traceable manner, the use of a powerful PLM integration platform with connectors to all IT systems involved is required. As an intermediate layer spanning all IT systems, it creates the prerequisite for bringing together the information from the individual IT systems in a way that corresponds to the digital thread concept.

Cross-company collaboration

In industries such as mechanical and plant engineering or shipbuilding, companies face the challenge that the manufacturer who builds and provides the Digital Twin is not necessarily the operator and user who feeds it with operational data. Both the digital data and the operating data, or at least part of it, must therefore be exchanged and synchronized across companies in order to keep the Digital Twin up to date and to be able to use the operating data for the continuous improvement of real assets. Questions such as data security, protection of intellectual property and ownership of the data therefore play a very central role in the development and use of a digital twin application.

More and more customers today require their suppliers to deliver digital data and models to support Digital Twin applications along with the physical assets. CLM can be used to control not only the amount of information provided, but also the level of detail of the information and the formats in which it is delivered. They can be compiled largely automatically and made available to the customer as a data package, for example in 3D PDF format.

In order to maintain digital consistency in cooperation across company boundaries, the exchange partners must first agree on the scope of the information to be exchanged and agree on common standards for handling this information. But the central question is where the Digital Twin should live? PROSTEP is convinced that it is advisable to set up a joint collaboration platform for this purpose, which will become part of the information model. This platform will provide customers with the information they need to build their Digital Twin application while the development process is still underway and will also allow them to synchronize changes to the master models during operation if necessary. The common platform can also be used to link parts of the operating data required by the manufacturer for new service offers such as predictive maintenance or product improvements with the Digital Thread.

Three building blocks for the Digital Twin

The foundations for the Digital Twin are already laid in product development and production planning. To bring it to life and keep it alive, the digital umbilical cord must not be cut. This is why an integration platform is needed that makes the digital information from the various authoring and data management systems available at any time. A powerful configuration management system that manages the relationships between the information scopes and their validity is essential for building a Digital Twin. However, digital consistency is not a one-way street. In order to derive maximum benefit from the product twin in terms of closed loop engineering, traceability between Digital Twin and Digital Thread must be ensured. The creation of a collaboration platform maintains digital consistency even beyond company boundaries.

 

 

By Lars Wagner

Clean ERP/PLM migration with the “data washing machine”

Friday, April 3rd, 2020

In one fell swoop, the robotics and automation specialist KUKA has migrated its SAP installation, introduced Teamcenter as its new PLM system and reorganized the entire engineering-to-order process. Crucial to the project’s success were the soft PLM migration, during which the legacy and new system coexisted for a short period, and the consistent cleansing of the data, which KUKA undertook with the assistance of PROSTEP AG. PROSTEP also accompanied KUKA during the changeover to the current Teamcenter version.

KUKA, which is headquartered in Augsburg, is one of the world’s leading suppliers of automation solutions. KUKA offers customers everything from a single source: from robots and cells to fully automated systems and their networking. The company, which was founded over 120 years ago, employs around 14,200 people worldwide and generated revenues of 3.2 billion euros in the 2018 financial year.

The first step in the company’s transformation program – “Power ON KUKA 2020″ – was to standardize the process and system landscape in the engineering-to-order (ETO) sector. ETO is the term KUKA uses to describe everything relating to the development of custom-built production systems for the automation of manufacturing processes– in contrast to its configure-to-order (CTO) business involving robotic components and systems. The PLM migration project was driven first and foremost by the ETO sector, as Project Manager Matthias Binswanger affirms. However, the project also had to be synchronized with the consolidation of the global ERP landscape that was taking place at the same time.

KUKA previously had a very heterogeneous ERP and PLM landscape, which was partly due to the increasing scope of the group structures. For example, the ETO specialists in Augsburg worked with a local SAP instance and an older version of the former Eigner system, Oracle Agile e6. After an in-depth system selection process, KUKA decided to implement the Teamcenter PLM system from Siemens Digital Industries Software as the global solution for all its ETO locations.

Teamcenter is intended to support the future product engineering process, including functional engineering, manufacturing process planning and simulation, as well as control engineering change management. To do this, it has to be familiar with the relationships between the mechanical, electrical and fluid components of the functional units (for example valves, sensors and their processes), which were mapped in a separate application in the old world. Changes are part of the ETO sector’s everyday business because the systems are often designed before the products to be manufactured on them are fully defined. “One major challenge is the complexity that results from the sheer volume of changes to thousands of components,” explains Binswanger.

PLM implementation was already underway when KUKA launched the parallel consolidation of the heterogeneous ERP landscape in order to give greater transparency to its project activities. The simultaneous changeover to SAP S/4HANA considerably increased the complexity of the PLM migration, as Binswanger explains: “To introduce the new solutions, we made use of a clear project control mechanism with a flexible, multi-stage project structure that did not previously exist in this form. This went hand-in-hand with changes to the engineering processes and methods, which in turn had repercussions for the PLM landscape and therefore also had a big impact on PLM migration.”

To migrate the PLM system, the project team called on the services of the experts from PROSTEP, who brought to the project not only their PLM expertise and many years of experience in performing migrations but also PROSTEP’s proven OpenPDM integration platform. “There aren’t many companies that have certified connectors to Agile e6 and Teamcenter. As a result, there was really no real alternative to PROSTEP,” explains Binswanger. The PLM consulting and software company also assisted the customer during the cleansing of the master data prior to the start of the migration. When considering this step, it is important to understand that at KUKA materials, BOMs, etc. are currently created in the PLM system, or in both systems, and then published to the ERP system.

While the changeover to SAP S/4HANA was to follow the “big bang” approach, KUKA chose the soft route for its PLM migration, with the legacy and new systems temporarily coexisting. Although Teamcenter is the target system for the new architecture, the idea was to conclude any open projects in the old PLM environment. Binswanger explains that migrating them all in one fell swoop would have required enormous effort. Agile only works with documents, materials, BOMs and structures, whereas the CAD data is managed using a file-based approach or in containers. Teamcenter, on the other hand, provides interfaces to all the CAD systems, system versions and releases used at KUKA, which means that CAD files in different formats can be stored together with the materials for the first time.

Direct synchronization of the PLM data

The changeover to SAP S/4HANA and the temporary coexistence of the two PLM systems meant that the migration resembled a billiards shot across three cushions. First of all, Agile e6 had to be updated and interfaced with the new ERP system so that materials and BOMs could be correctly linked to the new project structure. It was then necessary to connect the two PLM systems in order to achieve the cross-system synchronization of standard parts, catalog parts and other materials. Binswanger explains why it was not sufficient to simply synchronize them via SAP: “PLM data with no logistical relevance is not published to the ERP system in the first place. However, this data is important for the Teamcenter users so that they can re-use the materials stored in Agile.”

The OpenPDM integration platform provides the basis for PLM data synchronization. It is designed to transfer all the materials between the two system environments and not only the standard and catalog parts. PROSTEP adapted the Teamcenter connector a number of times in order to take account of changes in the data model. All types of document are now also transferred together with the PLM metadata. Automatic quality checks ensure that the documents meet the requirements of the Teamcenter data model. “We have an activity-driven application which automatically synchronizes the data sent to Teamcenter every five minutes, that is to say it creates new materials together with their attributes, structures and documents or updates modified ones,” says Binswanger.

Contrary to the original planning, KUKA decided to actively shut down the legacy system rather than simply phasing it out gradually. This allows the company to save on the high license and maintenance costs involved in operating two systems. In order to meet requirements regarding traceability, the documents relating to long since completed projects also have to be migrated to Teamcenter. Binswanger explains that in order to do this, it will be necessary to relax the quality requirements a little and store the documents uncleansed in a separate archive, where they can be accessed only for reading and printing.

Data selection and cleansing

Due to the simultaneous changeover to SAP S/4HANA, the PLM migration in Augsburg started later than planned but with considerably higher-quality input data. The project team took advantage of the delay to implement a clearly structured, documented OpenPDM-based process for cleansing the data. One clear specification was that, of the 3.3 million data records in the old SAP solution, only those materials that are relevant for future projects should be transferred to the new environment. Therefore, it was first necessary to identify the data that needed to be migrated.

On the basis of over a dozen criteria and taking account of various attributes, PROSTEP calculated the so-called Total Article List (TAL) from the 3.3 million data records in SAP and Agile. The TAL is a list of all the articles that have been ordered or installed in systems, used for service purposes in recent years or are still in stock. It now comprises “only” 1.2 million articles. According to Binswanger, PROSTEP’s ability to resolve the structures and identify the components for any given article is of decisive importance.

The TAL controlled not only the big-bang migration of the SAP data but also acted as master for the selective cleansing and migration of the PLM data. In particular, the repeat parts (standard parts, purchased parts, semi-finished products, etc.) had to be augmented with additional data and classified before being imported into Teamcenter. To do this, KUKA used the software classmate from simus systems together with other solutions. OpenPDM controlled the entire cleansing process, from the extraction of the data to manual or automatic cleansing through to validation of the results, and also generated the corresponding quality reports. A total of approximately 80,000 articles passed through one or other of the programs in the “data washing machine”. Only the data that ultimately met all the quality criteria was automatically imported into Teamcenter.

In Augsburg, SAP S/4HANA, a new Agile version and Teamcenter all went live on the same day. An important milestone for KUKA. According to Binswanger, PROSTEP, its OpenPDM software platform and its expertise played a key role. KUKA successfully took advantage of the migration project to cleanse its database of unnecessary clutter.

The Teamcenter application was continuously further developed after the go-live. This repeatedly required adaptations to OpenPDM, which PROSTEP implemented in agile sprints. One major challenge was to migrate the documents from ongoing Agile projects because the data models in the two systems are very different. The last hurdle for the time being was the changeover to the new Teamcenter version 12, which required a change of integration platform version. Thanks to PROSTEP’s support, the company was also able to surmount this hurdle without any problems.

By Andreas Hoffmann




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