Maturity of Models in a Multi-Model Decision Support System

To reduce uncertainty in decisions, engineers experiment with models, such as, exploring what-if scenarios, and thus increase knowledge. Still, because modelling is an idealisation of reality, there is often substantial uncertainty involved, and this decision makers less confident to lean onto models alone when making decisions. The aim of this paper is to conceptualize a design support for improving confidence and validity in models, by communicating uncertainties from modelling and simulation to relevant stakeholders. The paper reports on empirical data from a research profile workshop. The findings illustrate the importance of communicating uncertainties from models between relevant stakeholders in order to drive action. The paper then presents an approach to visualize model maturity levels as well as impact levels in relation to one or several aggregated models. With this approach, focus can move to discuss the knowledge about the knowledge that is created from modelling, and to facilitate discussions on a meta-level about the modelling and simulation. This is exemplified by a test scenario where a multi-disciplinary modelling and simulation of an asphalt roller is presented.

Product-Service Systems for Functional Offering of Automotive Fixtures: Using Design Automation as Enabler

The aim of this paper is therefore to present an approach to adopt a design automation strategy towards supporting the configuration of fixtures and to discuss opportunities for moving towards a Product-Service System-paradigm in this domain. This paper reports on a development of a design automation demonstrator to configure fixtures for control-measuring.