One challenge with design automation is system transparency with adjustable granularity because of the many different forms of representation from multiple disciplines. Previous research has focused on visualization through the generation of graphs, packaging into electronic books, and model highlighting. The research presented in this paper focuses instead on a visual programming approach, commonly applied in the building industry, where design assets and external references are wrapped into visual components and managed on a canvas with information input/output relations displayed. This entails additional documentation efforts, but the visualization is arguably more useful as groups and levels of granularity are adjusted by the engineers themselves as a part of the development work. To explore visual programming and its potential benefits as a way of enabling transparency with adjustable granularity of DA systems within mechanical manufacturing industry, an existing textual design automation system was transformed into a visual one using Grasshopper® (a visual programming environment) and discussed with respect to DA system transparency, feature-based CAD, and DA system development.

This study explores challenges in decision-making for product design due to insufficient cost transparency because of product variety across the value chain. Utilizing a literature review and a case study on a company, it delves into issues such as value chain consideration, product family assessment, linking effects to specific product levels, and converting measured effects. Highlighting the critical need to address these challenges for decision-making. Future research should focus on a comprehensive costing framework, explore effect interdependencies, and expand the value chain analysis.

The progress of science and technology has considerably increased the quality of life - especially the material standard of living - (e.g. disappearance of famines, increase in life expectancy) On the other hand, climate change, reduction of biodiversity, decrease of natural resources, and increase of environmental risks are some of the consequences of this human activities. Addressing these new challenges will require holistic comprehension and actionable approaches. The mitigation of these consequences requires effective responses in terms of transition. In this context, engineering and design students need time but also adapted curricula focused on sustainability and eco design concepts to support evolution of their skills, their knowledge and their culture. This article discusses the integration of a strong sustainability knowledge within the ideation process through a pedagogical experience, in order to develop new knowledge-based approaches, methodologies and tools

Sustainable products are becoming increasingly important for companies in order to succeed. However, the development of sustainable products poses a complex challenge, because alongside the classical product development requirements, additional social, economic and ecologic requirements arise. Despite the increasing relevance of this topic, sustainability is not yet fully integrated into the product development processes and mindsets within companies. Simultaneously, the integration of sustainability into engineering education is still insufficient and traditional teaching formats seem to be inadequate to teach such complex and multifaceted topics. Within this publication, the development, the contents and the implementation of two different university engineering courses for sustainability and environmentally compatible product development are described and compared. The different approaches to develop and incorporate sustainability into the engineering education and the usage of innovative teaching concepts are demonstrated to encourage and inspire other universities.

The study of design cognitive activity began in the 70s under the influence of psychology and ergonomics. Since then, the design process has undergone many changes with the advent of technology. This paper will notably present you to one of them: the Spatial Augmented Reality (SAR). The study conducted with this technology will focus on multimodal analysis in co-design meetings were we have compared two co-design sessions. We notice that the design activity is unchanged by the introduction of such a technology but could encourage interactions from clients who are usually less invested.

The design of ITER, a large-scale nuclear fusion reactor, is intertwined with profound research and development efforts. Tough problems call for novel solutions, but the low maturity of those solutions can lead to unexpected problems. If designers keep solving such emergent problems in iterative design cycles, the complexity of the resulting design is bound to increase. Instead, we want to show designers the sources of emergent design problems, so they may be dealt with more effectively. We propose to model the interplay between multiple problems and solutions in a problem network. Each problem and solution is then connected to a dynamically changing engineering model, a graph of physical components. By analysing the problem network and the engineering model, we can (1) derive which problem has emerged from which solution and (2) compute the contribution of each design effort to the complexity of the evolving engineering model. The method is demonstrated for a sequence of problems and solutions that characterized the early design stage of an optical subsystem of ITER.

As an outcome of the multi-criteria evaluation of different alternatives, product developers receive information on whether the evaluation alternatives meet the demanded property profile. If not, product characteristic and property changes are required, which can have desired and undesired effects. This contribution presents an MBSE-based approach, which extends the relational requirement model by value functions and product properties. Its novelty can be found in the integration of multi-criteria decision models, which are used to improve alternatives based on property change impact analyses.

Virtual Reality (VR) is progressively adopted at different stages of design and product development. Consequently, evolving interaction requirements in engineering design and development for VR are essential for technology adoption. One of these requirements is real-time positional tracking. This paper aims to present an experimental design of a new real-time positional tracking device (tracker), that is more compact than the existing solution, while addressing factors such as wearability and connectivity. We compare the simulation of the proposed device and the existing solution, discuss the results, and the limitations. The new experimental shape of the device is tailored towards research, allowing the engineering designer to take advantage of a new tracker alternative in new ways, and opens the door to new VR applications in research and product development.

The availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

Design, delivery and improvement processes in healthcare is of great challenge due to increasing pressures on healthcare systems alongside inherent complexities, resulting in limited benefits or unforeseen consequences. A recent Systems Approach framework has aimed at responding to the calls about implementing a more holistic approach. Though being an approach in its own right that can iteratively and systematically structure, guide, and/or facilitate design and improvement projects in healthcare, it can also augment existing approaches that have already place in healthcare designers' and improvement practitioners' agendas. Thus, the objective of this paper is to compare and contrast the questions, activities, and tools of the Systems Approach with processes of other major improvement approaches in healthcare to demonstrate their coverages, overlaps, and extended and new opportunities to pursue in the light of the Systems Approach.

Early consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.

In the production of automotive body components, fixtures are an important part of the ongoing work on geometrical assurance. The fixture is uniquely defined for each component, and the design and configuration of these are time-consuming and takes a lot of effort. The objective with this paper is to explore the use of a design automation approach and application to semi-automate the configuration process of the fixture product. The paper presents an approach to automate the configuration of the fixtures in a flexible way, by reverse engineering the configuration of the fixture product from a generic blueprint that represents the expected outcome of the process, using a knowledge-based engineering approach applied to a computer aided design (CAD) environment. A reverse-engineered design automation toolbox for a CAD-software is developed. The toolbox is developed to lead a user through the configuration process, in the way that the experts want it done, end-to-end, making use of some unconventional solutions from a design automation perspective.

Agile approaches are increasingly being used in appropriate use cases for the development of mechatronic systems.In the process of implementing agile elements in the development processes, the question of the success of the transformation often arises. In order to support the agile transition in measuring process improvement, a framework was developed that evaluates the success of the implementation process by means of interviews at 4 maturity levels in the transformation. The method was evaluated in 3 use cases. On this basis, continuous adaptations can be made to the implementation process.

This research aims to study the passenger's sustainable attitudes, in-flight catering behaviour, and to develop a persuasive model for behaviour change. Current studies towards the in-flight catering waste are primarily focused on dealing the recyclable materials such as cupboard, newspaper and food packaging. In a survey of 624 respondents, the environmental attitude was a poor predictor of environmental behaviour. The survey data were used to develop the persuasive model based on Persuasive Technology. Four phases of the in-flight catering are based on data from the passenger survey. In-flight touchpoints performed with persuasive function is proposed to raise awareness of food waste classification onboard. This study illustrates how persuasive strategies can change the passenger's food-wasting behaviour.

Increasing system complexity can be controlled by using systems engineering processes. INCOSE defines processes with inputs and outputs (artifacts) for this purpose. Specific SE roles are used to organize the tasks of the processes within the company. In this work, the responsibilities for artifacts are evaluated by means of the RACI scheme and examined by a cluster analysis and discussed for a SE transformation project with a German automotive OEM. As a result of the study, the optimal composition for systems engineering teams is identified and the systems engineering roles are prioritized.

Today, information and knowledge as competitive factors influence the success of companies as much as traditional production factors like human resources or physical capital. However, the reuse of design knowledge still represents a major challenge for engineering organizations. That is, because barriers exist hindering a successful knowledge reuse. On the basis of a literature review, the research depicted in this paper analyses the relation between single information conveying design knowledge and barriers hindering a successful knowledge reuse. Developing a model-based approach, we propose a micro logic containing three steps and underlying methods enabling practitioners to identify situation-specific barriers within their organization. We illustrate the industrial application of the approach in a case study at a mining machinery OEM.

One of the aims of systems engineering is to develop systems with a number of pre-defined configurations, in order to operate effectively and efficiently in different contexts and environments. Early in the design phase, system reconfiguration allows to propose and optimize these configurations. With regard to the literature review and industrial observation, pre-defining the standard configurations without relying on hints from end users has been raised as a major difficulty within the industry. In this paper, we propose a reconfiguration framework which considers data collected from the use phase in order to generate valid and optimized configurations with regard to stakeholders needs.

Advanced Driver-Assistance Systems were created to address the driver's failures. All these ADAS are a part of the evolution of the vehicles towards whole automation. To complete its launch in the automotive market, autonomous vehicles have to pass safety tests to acquire the consumers’ trust. To receive the approval of the public, the self-driving car has to take into account the human feeling. The risk perceived by the driver is one of the new emotional form to integrate at the validation plan. The purpose of this study is to examine the perception of the risk of a self-driving car's driver.

Though many engineering schools are integrating sustainability in the curriculum, most are still struggling, especially with social sustainability. The aim with this study was to test a process created to help students work systematically with these issues. Results show that students in the study did indeed benefit from structured process support as their general knowledge level of social sustainability issues as well as their understanding of how to integrate them in a product assessment was very low. Reflections from teaching staff on how to further develop such a process are also shared.

This paper presents a novel approach to include a holistic description of abstract physics in a digital engineering framework. Physical phenomena realize the numerous functions of technical systems and are an important link between rather abstract product functions and the concrete product geometry and material. Until now, a possibility to integrate the analysis and synthesis on this level of abstraction into a holistic engineering frameworks is not existing. The novel approach employs graph-based design languages using UML for this endeavour; the product example is a two-wheel scooter.