Engineering offers Strategic potentialthat companies must utilize in order to remain competitive in the long term. The expansion of engineering is challenging and often offers many options. Wrong decisions can have serious consequences for efficiency and employee satisfaction and result in high follow-up costs.

Our promises

Wherever you are starting from, we will work with you to develop a suitable development path for your engineering landscapewhich you can use effectively and efficiently towards a strategic position for success leads. We support you on this path.

Why is engineering important?

• Data is the basis for new digital business ideas, but this data must be available in a suitable form and quality. Engineering has a decisive influence on this.
• Today, interrelated data is distributed across countless systems. Standardized structures in engineering promote the linking of distributed data.
• Engineering systems significantly support the long-term, stable implementation of a cross-discipline and cross-location modular strategy. This leads to clear competitive advantages.
• A system-supported modular strategy offers options for the automated configuration of virtual machines or digital twins. This makes new digital business ideas scalable.
• Suitable engineering systems create the conditions for model-based systems engineering (MBSE). This shortens the time-to-market, especially for demanding developments.
• AI-based processes require standardized data for effective training. Engineering has a major influence on data quality.
• A modern engineering environment increases employee satisfaction and attracts highly qualified personnel.

In the field of Digital Transformation our focus is on the interaction of the various systems involved in the design, development and commissioning of modular, mechatronic systems. Our focus is on the development area, whereby we also take into account the interfaces to the adjacent functional areas and the downstream phases of the product life cycle.

Our approach:

• Create a common understanding of engineering
• Provide an effective method for analysis and design

Based on many years of experience in science and industry, MetaCre8 has developed a framework and a method for modeling data-related processes in engineering.

The MetaCre8 Engineering Framework provides a basic framework for digital transformation in R&D. It can be adapted to any company and used directly with your team supported by our template.

In the field of Mechatronic Modular System subject area, the focus is on the product (e.g. a machine tool). This involves the questions of how a cross-disciplinary modular system is designed, which roles and processes are required and what requirements this places on the tools.

Our approach:

• Create a common understanding of the mechatronic modular system
  
  provide methodical support for the following tasks:
• Physical and functional modularization
• Configurable modules, especially in the core disciplines of mechanics, electrics and software
• Discipline-specific, configurable master projects (150% structures)
• Configuration methodology (characteristic system, configuration knowledge)
• Variant evaluation methodology
• Modular strategy specific roles and processes
• Specification of the systems, if they need to be adapted

Based on our many years of experience in science and industry, we have developed a best practice that leads to the most efficient and consistent implementation of a modular strategy.

The MetaCre8 modular guide supports you in the design of a mechatronic modular system.

In the field of Systems Engineering the focus is on the early phase of the development process. Our priority is on functional modeling, which we have aligned with the requirements of mechanical engineering.

Our approach:

• Create a common understanding of functional modularization, structure and behavior
• Exploiting synergies between function modelling, mechatronic modules and digitalization
• Function modeling replaces conventional function descriptions
• Support in defining new roles and processes
• Training for functional modeling in a team
• Accelerate new development through early coordination, information consistency and generation
• Making the change process more robust

MetaCre8 FM - Function Modeling is a methodology with which systems engineering can also be used effectively and on a broad scale in mechanical engineering.