Supporting the Reuse of Design Assets in ETO-Based Components—A Case Study from an Industrialised Post and Beam Building System

The ability to offer customisation has been considered as a competitive advantage for industrialised house building (IHB) companies. Product platform approaches have been acknowledged as one of the prominent ways to improve both internal and external efficiency. However, the use of traditional platform-based strategies does not suffice for the design of engineer-to-order (ETO)-based components in a building system. The purpose of this research is to test and evaluate how the reuse of design assets can be achieved by using a parametric modelling approach to support the design process of ETO-based components in a post and beam building system. This is an additional study using the design platform approach (DPA) that contributes to expanding the knowledge for designing ETO-based components. This research proposes a parametric design platform method developed by following an inductive approach based on the findings from a detailed study on bracket connection with a single case study in a Swedish multi-storey house building company. The proposed method offers flexibility in modelling ETO building components, facilitates design automation, and shows a 20-times improvement in the modelling process. This approach can be used in any building system with ETO-based components by identifying, formalising, and reusing connected design assets. A key finding is that the ETO components can be shifted towards configurable solutions to achieve platform-based design.

Making design decisions under uncertainties: probabilistic reasoning and robust product design

Making design decisions is characterized by a high degree of uncertainty, especially in the early phase of the product development process, when little information is known, while the decisions made have an impact on the entire product life cycle. Therefore, the goal of complexity management is to reduce uncertainty in order to minimize or avoid the need for design changes in a late phase of product development or in the use phase. With our approach we model the uncertainties with probabilistic reasoning in a Bayesian decision network explicitly, as the uncertainties are directly attached to parts of the design artifact′s model. By modeling the incomplete information expressed by unobserved variables in the Bayesian network in terms of probabilities, as well as the variation of product properties or parameters, a conclusion about the robustness of the product can be made. The application example of a rotary valve from engineering design shows that the decision network can support the engineer in decision-making under uncertainty. Furthermore, a contribution to knowledge formalization in the development project is made.