International Multidomain Project Management
Due Diligence
Technological Due Diligence
Assessment of Technological Assets
We compile a detailed inventory of all technological assets relevant to AI-supported digital manufacturing solutions. This includes hardware (e.g., specialized machinery, servers), software (e.g., proprietary AI algorithms, applications), patents, trademarks, and any proprietary technologies.
Evaluation of Technological Capabilities
Considering local needs and regulatory requirements, we analyze the company's research and development capabilities to adapt and innovate products suitable for the Chinese market.
Technology Strategy Analysis
We ensure that the technology strategy aligns with the company's overall business objectives in China, including market penetration, brand positioning, and long-term growth.
Knowledge Management
We review the processes for transferring knowledge from the European headquarters to the Chinese operations to ensure that critical information is effectively communicated and utilized.
Market Alignment
We understand the specific needs and preferences of the Chinese market to ensure that the company's products meet local demand and expectations.
Risk Management
We identify potential technological risks, such as obsolescence, integration challenges, and compatibility issues, and analyze the impact of the company's operations in China.
Opportunities Analysis
Identifying and quantifying potential growth areas within the Chinese market, leveraging AI and digital manufacturing trends.
Project Management
International Project Management
Partner Identification and Engagement
The first critical stage of any international project is identifying and engaging with the right partners. Success often depends on selecting partners who possess technical expertise and a deep understanding of local markets, regulations, and cultures.
Product Assessment and Requirements Definition
Once partners are on board, the next step is to assess the product in the context of the target international market and define specific requirements. This process ensures that the product fits within local market demands, regulatory requirements, and customer preferences.
Design and Development
The design and development phase transforms the defined requirements into a concrete product. This is a paramount stage at which collaboration between international teams and adherence to global and local standards become essential.
Manufacturing Modifications
Manufacturing in international projects often involves modifications to account for local production capabilities and supply chain variations. Global and regional coordination between manufacturing teams is essential during this stage.
Certification and Market Preparation
The final stage focuses on ensuring the product meets the necessary certifications and preparing it for market launch. This step is crucial in ensuring the product is legally and competitively positioned in the international market.
Implementing AI
Implementing AI-assisted MBSE
AI-assisted Model-Based Systems Engineering (MBSE) involves integrating artificial intelligence techniques into the MBSE process. MBSE is a methodology that uses models to support a system's entire lifecycle, including requirements, design, analysis, verification, and validation. It moves away from traditional document-based approaches and provides a structured, visual way of understanding complex systems.
AI-assisted MBSE enhances the capabilities of traditional MBSE by automating tedious tasks, optimizing designs, and providing valuable insights, making the overall systems engineering process more efficient and effective.
To introduce AI-assisted MBSE, we will collaborate with you on an implementation project that includes comprehensive engineering training.
Systems Engineering
Implementing the new Closed-Loop Systems Engineering R&D
A Closed-Loop Systems Engineering R&D approach involves continuously integrating system development, testing, and operation feedback into the design and engineering processes. This approach is grounded in closed-loop control principles, where feedback is used to refine and optimize system performance iteratively. In systems engineering, the development process is not linear but a continuous cycle of design, testing, evaluation, and improvement.
Overall, the closed-loop systems engineering approach transforms R&D into a dynamic and adaptive process, ensuring that systems evolve in response to real-world feedback and emerging challenges.
We will implement an implementation project with you to introduce the Closed-Loop Systems Engineering approach, including comprehensive engineering training. We also create a suitable toolchain and a process landscape.