Axiomatic Design

AI Smart Workstation for Industrial Quality Control

AI Smart Workstation for Industrial Quality Control

Enhancing productivity through vision systems, real-time assistance, and Axiomatic Design
Leonardo Venturoso ORCID Icon, Simone Garbin ORCID Icon, Dieter Steiner, Dominik T. Matt
Traditional quality control often falls short in high-mix, low-volume production environments due to variability and complexity. This project introduces an advanced workstation to boost industrial productivity and quality, developed with Axiomatic Design to ensure a clear link between customer needs, functional requirements, and design solutions. Combining polarization cameras, high-resolution imaging, adaptive lighting, and deep learning-based computer vision, the system performs high-accuracy inspection on quantity, quality, and compliance. A digital assistance system offers real-time feedback via an intuitive interface. Validation in a controlled environment confirmed both the system’s practical benefits and its scalability.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 128-134 | DOI 10.30844/I4SE.25.5.124
Axiomatic Design and TRIZ

Axiomatic Design and TRIZ

A winning duo for product engineering
Dominik T. Matt, Janez Zgaga, Johannes Weger
This paper describes the successful combination of the two methods Axiomatic Design and TRIZ based on the practical use case in a product development project at a small enterprise. The task included the design and prototypical implementation of a small tractor for viticulture. The major challenge in developing the concept was the requirement that the tractor must move in the narrow streets between closely lying pergolas as well as in steep terrain. The application example underpins the performance of the combined application of Axiomatic Design and TRIZ for the identification and resolution of technical and physical contradictions and shows how even small businesses can bring innovative and sophisticated product ideas targeted for implementation in close cooperation with research institutions.
Industrie Management | Volume 30 | 2014 | Edition 3 | Pages 57-61
Axiomatic Customer Value Engineering

Axiomatic Customer Value Engineering

A New Approach to systematically increase the Success Rate of New Product Developments
Dominik T. Matt
The success rate of new products or services can be increased only by a consequent orientation at the customer value: the customer needs drive the buying decision! Existing methods for customer need determination are not suitable for the development of novel products or services: after all, we have to find out customers preferences about something that does not exist yet. In this paper a methodology is presented which helps to identify systematically the customer needs and the relative customer requirements and how to define on their basis the functional requirements for product development. A practical example helps to illustrate the successful application of the approach.
Industrie Management | Volume 26 | 2010 | Edition 2 | Pages 77-80
The Power of Small Structures

The Power of Small Structures

How to guarantee jobs by structured business growth in networks
Dominik T. Matt
In the last years of general economic depression, European small and medium-sized enterprises (SME) have compensated for the large enterprises’ loss in value and job creation. A trend towards a “pulverization” of the economic system from large to small companies could be noticed. On the other hand, growth is an economic prerequisite for sustainable business success. Must a SME therefore grow and become a large enterprise in order to succeed? Not necessarily. Business growth is not a perpetuum mobile; it is restricted by internal diseconomies of scale and scope caused by the increased complexity of large organizations. In this paper, a new approach is presented which shows how small and medium sized companies can realize sustainable growth without losing the advantages of a small organizational structure.
Industrie Management | Volume 23 | 2007 | Edition 2 | Pages 41-44