Modelling the evolution of uncertainty levels during design

Design work involves uncertainty that arises from, and influences, the progressive development of solutions. This paper analyses the influences of evolving uncertainty levels on the design process. We focus on uncertainties associated with choosing the values of design parameters, and do not consider in detail the issues that arise when parameters must first be identified. Aspects of uncertainty and its evolution are discussed, and a new task-based model is introduced to describe process behaviour in terms of changing uncertainty levels. The model is applied to study two process configuration problems based on aircraft wing design: one using an analytical solution and one using Monte-Carlo simulation. The applications show that modelling uncertainty levels during design can help assess management policies, such as how many concepts should be considered during design and to what level of accuracy.This is the author accepted manuscript. The final version is available from Springer via http://www.springerlink.com/content/p17w476671110704

Modelling the evolution of uncertainty levels during design

Design work involves uncertainty that arises from, and influences, the progressive development of solutions. This paper analyses the influences of evolving uncertainty levels on the design process. We focus on uncertainties associated with choosing the values of design parameters, and do not consider in detail the issues that arise when parameters must first be identified. Aspects of uncertainty and its evolution are discussed, and a new task-based model is introduced to describe process behaviour in terms of changing uncertainty levels. The model is applied to study two process configuration problems based on aircraft wing design: one using an analytical solution and one using Monte-Carlo simulation. The applications show that modelling uncertainty levels during design can help assess management policies, such as how many concepts should be considered during design and to what level of accuracy. © 2011 Springer-Verlag

DEPNET: a methodology for identifying and qualifying dependencies between engineering data

International audienceCollaborative design is a collection of the co-operated efforts undertaken by a team of designers. Due to multi-actors interaction, conflicts can emerge from disagreements between designers about proposed designs. Therefore, a critical element of collaborative design would be conflict resolution. In this paper, the DEPNET methodology is introduced to support conflict management. This methodology is based on a Unified Modelling Language (UML) traceability model to extract the data dependencies network. This will allow identifying the conflict resolution team as well as evaluating the impact of a selected solution. A case study within an industrial partner is described to illustrate this methodology