What distinguishes a model of systems engineering from other models of designing? An ontological, data-driven analysis

This paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analysis show that the INCOSE model differs from the other models in its increased emphasis on requirements and on behaviours derived from structure, in the uniqueness of its verification and validation phases, and in some patterns related to the temporal development and frequency distributions of FBS design issues.

Changeability and agility enablers in one-of-a-kind product development and design processes

The smart factories that are already beginning to appear employ a completely new approach to product creation. Smart products are uniquely identifiable and know both their current status and alternative routes to achieving their target state. Smart factories allow individual customer requirements to be met, meaning that even one-off items can be manufactured profitably. In smart industry, dynamic business and engineering processes enable last-minute changes to design and production, delivering the ability to respond flexibly to disruptions and failures on behalf of suppliers. This paper presents a case study of product development and design process renovation according to changeability paradigm in one-of-a-kind industrial environment. It demonstrates how integration of changeability with agile design strategies crucially contribute to improve the operations of a highly individualized product development business. Successful management of ‘never-ending’ engineering changes appears to be the most important aspect in this field. Contribution of the presented work is a generalized framework that demonstrates how companies in such specific environments can improve competitiveness through the utilization of changeability concepts. The included case study validated the proposed changeability model and offers valuable insights into how to implement this in practice.

The relationship between personal intrinsic factors towards a design problem and the degree of novelty and circularity

The aim of this work is to determine how personal intrinsic factors towards a design problem are related to novelty and circularity. A deeper understanding of this relationship will be a valuable aid when it comes to making an adequate selection of design teams. The factors studied are the level of the designer's motivation, relevance, knowledge and affinity with regard to the design problem. To this end, a study was conducted with 35 novice designers, organised in groups of between two and five members. Each group had to propose a conceptual solution to two different design problems. Novelty was assessed using the SAPPhIRE causality model (which stands for State–Action–Part–Phenomenon–Input–oRgan–Effect) and the Circular Economy Toolkit was applied to measure circularity. The results show that as motivation, level of knowledge, perception of relevance and affinity for the problem increase, the solution displays greater novelty and less circularity, although for circularity, the difference is not statistically significant.

Agile methodologies applied to Integrated Concurrent Engineering for spacecraft design

In recent years, space projects have evolved to faster and more variable projects. To adjust the design processes in accordance, new work methodologies arise, as the Concurrent Engineering (CE). This working discipline is characterized by collaborative design and the flux of information being improved by working in a dedicated environment. CE has been recently adopted by space industry for the preliminary design phase of spacecrafts and other space systems. However, this methodology does not envisage tasks prioritization, which is a fundamental aspect to achieve an optimal design solution with an efficient allocation of resources. In this work a variation of CE discipline by applying Agile methodologies (in which the aspect of task prioritization is essential), is proposed. Agile methodologies allow the proper distribution of the design effort depending on the project priorities, the state of the design and the requirements, in a continuous process to improve the design solution. The general aspects of the proposed method are presented and applied to the design of a space mission, the results being analysed and compared with to the classical CE process in order to outline its differences and similarities with CE and Agile methodologies and show its potential for a new environment for space project design.