Products are becoming more and more complex and interconnected. With the uprising of the Internet of Things (IoT) and the opportunities given by the digitalisation of the Product Lifecycle, aka. Digital Transformation and Digital Twin addressing better ways is becoming even more important. To address this we need an inutitive, lean way which fosters reuse. Our approach Serenity based on a seamless Model Based Systems Engineering (MBSE) and breaking with todays status quo is a way to answer this challenge . In addtion the trend of software taking over more and more functionalities from what used to be implemented with hardware or mechanics, due its intrinsic advantage of “no” maintenance costs, needs a more holistic view on product development, resp. lifecycle or systems engineering approach. On the other hand this trend brings even higher complexity which needs to be handled.
Wiki defines Systems Engineering as the interdisciplinary field of engineering that focuses on how to design and manage complex engineering projects over their life cycles. Another definition from Derek Hitchins, Prof. of Systems Engineering and former president of INCOSE defines Systems Engineering as “The art and science of creating optimal solution systems to complex issues and problems”. For us both have their value and message. The traditional areas of Systems Engineering such as aircraft, ships or trains are thus reaching out to many more fields and are underlaid by high dynamics in the market. This is being further pushed by changing market forces and global competition. One of the major challenges is connecting the engineering disciplines with the aim to:
At EVOCEAN, we have developed Serenity to address these challenges. Serenity is a model driven process framework supporting MBSE with a seamless data flow model, focusing on improving systems development. Serenity includes a common language to communicate more effectively and coherently to speed up product and systems development and innovation enabling prosperous organizations.
EVOCEAN is the partner of IBM Watson IoT – Connected Products / Continuous Engineering and as such your contact for all issues concerning visual modeling environments with IBM Rhapsody. As an official Rational Rhapsody competence center, we have access to comprehensive technical knowledge, many years of experience, and an extensive assortment of services in the area of IBM Rhapsody, Model Driven Engineering and Systems Engineering. We help you in challenging the complexity and increasing your agility.
Applying methodology and tools successfully correlates highly with the training the user has completed. This includes first of all goal-oriented training and Workshops in applying the appropriate methodology and using the tools. Complementary to this also guided help applying the tools in realtime, ideally integrated into the tools can achieve this. The other aspect, equally important, is the exchange of experience, as well practical know-how and lessons learned related to implementing the knowledge into everyday situations.
Models have become essential for understanding the structure and behavior of complex systems. Modeling helps in simulation and early validation and is a fundamental part of engineering. It is an effective way to manage the complexity of system and software development, enabling communication, design and assessment of requirements, architectures, systems and software. That’s why the industry is moving towards Model Based Systems Engineering (MBSE). However, there is more to MBSE: executable models leading to Model Driven Systems Engineering (MDSE).
MDSE leverages graphical models and pre-built application components so that users not only can visually construct but also virtually interact with the system and test their complex systems through executable graphical models. As such, the models not only contribute to a better understanding of structure and behavior, but also help understand the system more clearly earlier on in the development phase. As a result, models increase the ability to improve and validate ideas and concepts as early as possible in the process when it costs less to adapt.
An effective approach to drive the challenging tasks of improving Systems Engineering in a structured way is the Systems Development Taxonomy. This classification has been established based on many different domains, projects and customers. It determines seven practice stages and also helps in laying out a path for the incremental adoption of MDSE within an organization.
At EVOCEAN, we have established a model driven process framework called Serenity, focusing on improving systems development. Serenity includes a common language to communicate more effectively and coherently to speed up product and systems development and innovation enabling prosperous organizations.
Serenity is not just a technical approach to improve the working processes in Systems Engineering. It is a proven and innovative method which positively affects the entire organization and paths the way to benefit from digital twins. By enhancing multi-disciplinary interactions and collaboration, it contributes to cope with the constant changes within the own ecosystem as well as in the business environment and supports the transformation towards a lean and more collaborative organization.
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