Challenges in high-mix, low-volume production
In high-mix, low-volume production, challenges like frequent customization, operational complexity, and tight SoS integration require broader collaboration and knowledge retention. Expert reasoning is often implicit and at risk due to staff changes. Market demand is shifting toward customizable platforms that reduce time, cost, and risk, while providing deeper insight into customer usage. This research aligns with the TNO-ESI vision and the HTSM systems engineering roadmap, aiming to support SoS optimization and architecting by modeling and reasoning about customer context in system design.
Research questions
The project will address the following high level research questions (over 2 years): 1. How to quantitatively reason about the impact of System of Interest (SoI) design decisions on customer value in HMLV Systems of Systems (SoS)? 2. How does the way of working in design and development need to change to adopt this model based systems engineering approach for HMLV production systems? 2.1. How to link the models and data to architectural decisions in reusable assets to empower other disciplines and new employees? 3. How to measure and evaluate the impact of such a new organizational capability (consisting of methods and tools, process and competencies)?
Deliverables
The project will deliver the following: - Update of AIMS methodology validated with CPP use cases - Quantitative model for two use cases - TNO reports capturing results, including state-of-the-art / state-of-practice - Scientific publications (conference / journal)