A comprehensive domain independent system-level perspective of conceptualization of design is a major driver for successful product development. Such a general design model, Integral Design, was developed based on a specific Dutch design method, Methodical design, which was aimed specifically for applications in the Mechanical Engineering domain. The design method was specifically developed with the help of experiences designers and is meant for young students in a multi-disciplinary design context, such as building design. Integral design provides a suitable framework, existing of phases and specific steps, for guiding users through the design process. It support not only the designers but also helps them to make the process explicit and to communicate the actions and results to their stakeholders. The focus in this paper is on presenting the overall frame work of the design method. In the Netherlands in several bachelor and master educational programs at Technical High schools and the University of Technology Eindhoven use this model to teach students mechanical engineering design and building services design. As such it is one of the most popular design method in the Netherlands.

Flexibility analysis helps improve the expected value of engineering systems under uncertainty (economic and/or social). Designing for flexibility, however, can be challenging as a large number of design variables, parameters, uncertainty drivers, decision making possibilities and metrics must be considered. Many available techniques either rely on assumptions that are not suitable for an engineering setting, or may be limited due to computational intractability. This paper makes the case for an increased integration of Machine Learning into flexibility and real options analysis in engineering systems design to complement existing design methods. Several synergies are found and discussed critically between the fields in order to explore better solutions that may exist by analyzing the data, which may not be intuitive to domain experts. Reinforcement Learning is particularly promising as a result of the theoretical common grounds with latest methodological developments e.g. decision-rule based real options analysis. Relevance to the field of computational creativity is examined, and potential avenues for further research are identified. The proposed concepts are illustrated through the design of an example infrastructure system.

The proper use of methods is increasingly important as design challenges are more complex and involve more stakeholders. Such work also demands high reflective ability from designers. Reflective thought processes do not necessary produce positive outcomes for the process and the individual involved. Positive reflection is goal oriented while negative reflection is typically self-oriented. In design education, reflection by students is often treated as rather trivial or only rudimentary support is offered. Research in cognitive science shows that poor reflection can hurt students' well-being, abilities and confidence over time. Thus, there is a need to better understand method use and reflection in design education more specifically when done poorly. We take a theory-building approach and interviewed 12 design students and recent graduates and investigated instances of method use where these led to negative experiences and effects. In doing so, we show different types of negative experiences that students have when using methods, the effects that these experiences have and how they relate to problematic use of methods and poor reflection practices. We end with implications for design education and design research.

The literature lacks methodologies to make supply chains of composite materials circular. The proposed approach aims to transform scraps and off-specification products into secondary raw materials. Its novelty is to find innovative applications, instead of re-introducing scraps in the loop they come from. The case study investigates how scraps can be re-worked and re-used as raw material. First, the processes are analyzed; some components are then re-designed to be made of the discarded scraps (composites material). Results reveal that the symbiosis can ensure green, high performing products.

Design ideation is a critical early step in any design process and especially challenging for novice designers. This paper introduces the “Systematic Brainstorming Ideation (SBI)” method that, as part of a wider design ideation process, improves the range and number of design concepts generated by novice designers. In this paper we give a brief introduction to the design ideation method to set a context for SBI and then introduce SBI in more detail. Evaluation experiments with 101 novice designers, based in UK and South Korea, are reported. Results indicate a 30% improvement in the number of design concepts generated.

Citation is a key metric in academia, and it can help to understand how ideas travel between disciplines. In this article, we report on a citation analysis of forty-four articles identified during a systematic literature review of healthcare design research published in six leading design journals. Using the Web of Science's categorisation of journals, we analyse which disciplines cite these forty-four articles. We find that these articles are much more cited in technology and engineering journals than in health sciences. We discuss these findings and the limitations of the study.

Engineering knowledge forms an essential part of our planetary fight against climate change. Traditionally, engineering curricula emphasizes the importance of technical knowledge and encourages to specialize in niche areas, where engineers develop themselves into experts. However, it is important to be able to reflect on complex societal challenges from a variety of perspectives to produce not only innovative, but also long-lasting and inclusive solutions for the greater good. This paper aims to understand the extent of systems thinking abilities of engineers by differentiating experts from novices. The study traces sustainability connections made by professional engineers and master's level engineering students when solving engineering design problems. This qualitative study highlights seven recurring themes that relate to the global sustainability discourse and describe a problem-centred approach through a real-life case that focuses on paper and pulp production, through a thematic analysis of 59 responses. The results portray system-level differences in how novice and expert engineers approach sustainability questions and how these differences shape their solution spaces.

The quick and accurate estimation of design effort can be make or break for all but the largest of product design consultancies. Traditional design project planning see designers being taken away from the metaphorical drawing board to spend time assessing project briefs and estimating workloads. Typically these designers base these estimates on their tacit knowledge and experience, and for the most part, they are accurate. However, this is time-consuming and therefore (indirectly) costly, as time spent planning, is not time spent designing. Many more sophisticated approaches for estimating design effort have been developed, but many require large bodies of past data and sophisticated analysis, such as artificial neural networks; and others have highly-specific use cases.

This paper proposes a new method to develop a design effort estimation tool for product design consultancies. This method captures the tacit knowledge and experience of design team members and the tool replicates it quickly and effectively; graphically modelling factors that influence design effort needs in product design projects.

Shortening product development cycles while improving cost efficiency and quality epitomize a key challenge in today's competitive market environment. Integrated approaches simultaneously taking into account a conceptual design, material and processing definition methodologically facilitate the progress of promising product solutions most effectively. However, assorted approaches in the field of lightweight design as well as material selection mostly trying to cover alternative solutions on a component-specific level exclusively, yet.

Thus, this contribution outlines a cross-component material selection for function-based lightweight design within the Extended Target Weighing Approach covering the identification and evaluation of lightweight design potentials. The developed method is based on Ashby's material selection additionally taking into account project objectives for mass, costs and CO2 emissions in individual functional design spaces. Resulting in material combinations fitting to clearly stated project targets, the product engineer is already supported in an early phase of product development when initially assessing feasible materials for the overall system development.

The functional analysis of technical systems is an important part of the design process. To further improve the design process, especially the functional analysis, it must not be viewed as a monodisciplinary process. To this end, cognitive factors such as the aha-experience must also be included in studies of analysis processes to a greater extent. This paper investigates the relationship between the occurrence of aha-experiences and the correctness of solutions in the analysis of a technical system. An aha-experience is a strong feeling of subjective certainty that accompanies the cognitive process of suddenly finding a previously unknown solution. For this purpose, a study on the functional analysis was evaluated. The results show that many identified subfunctions of the system under investigation were identified with an aha-experience and that these subfunctions are more often correct. The results also suggest that aha-experiences occur more often among students than among experienced design engineers. Especially among students, a positive relation of aha-experiences on the correctness of the identified subfunction can be seen. This offers potential for further investigations to make aha-experiences useful in design methods.

Various tools for participatory design approach have been developed to support users to engage design process. Doll scenario is proposed as a generative tool for letting participants make and enact scenarios. However, suitable context to practice doll scenario is unclear in comparison with other tools using scenario. Therefore, our overall objective is to increase understanding of characteristics of making scenario in two different ways of expression; with doll and storyboard. We developed a doll scenario method, doll staging. The tool was evaluated in comparison to storyboard at a workshop which is a part of a new product development project in a corporate. The workshop was evaluated by semi-structured interviews with the participants and observations of the workshop and design outcome. The result suggests that doll staging allows participants to think from users’ perspective in developing new idea. These findings provides new direction to choose scenario based design tools according to objective or context of design project. We also discuss potentials and research directions to use tools for developing scenario in corporate contexts.

Product-Service Systems (PSS) have emerged as a key concept to meet the societal and market trends of increasing customer needs through the entire life-cycle. Unfortunately, several companies are struggling with getting revenues from service investments and translating 'real needs' to design improvements. The demand of the designer to go beyond the Voice of the Customer (VoC) is evident. This paper aims to map the interventions proposed by research in the area of PSS and VoC. Using a systematic mapping approach, the research domain was analyzed with regards to context and interventions. The results show a progressive development in the research area with a focus on the specification and realization of needs. A gap exists in connecting the engineers with 'real needs' and integrating the customer as a natural part of the entire development cycle of a PSS. By performing a systematic mapping, future research can be more focused and hopefully increasing its impact.

Fast fashion, with its focus on cheap clothing and everchanging trends, has an enormous negative environmental and social impact. Despite rising consumer awareness and slow fashion as an emerging trend, many consumers often still rely on fast fashion. This research aims to create insights into why customers keep returning to fast fashion and what is holding them back from buying sustainable fashion. This is done through a quantitative survey (n=521) and qualitative semi-structured interviews (n=9). Based on the findings, opportunities are defined for designers on how, where, and when to intervene, and on which target group to focus. The main obstacles that counter slow fashion are (i) a lack of understandable and clear information, (ii) the price or available budget, and (iii) the importance of social influence. Strategic design interventions should focus on educating eco-conscious and social-conscious customers based on their personal definition of sustainable fashion. By providing in-store information during time of purchase, designers can create new shopping experiences, educate customers using a positive note and build customer relations with the retailer. Further research should extend these insights with retailers' perspectives.

Design education needs to be continually investigated and improved to stay relevant. The Singapore University of Technology and Design (SUTD) is a leading university focused on all elements of technology-based design. The overarching motivation of our research is to enhance design education curriculum at SUTD. Our research objectives are (1) to understand how design competencies are implemented in SUTD's curriculum and courses (2) to identify gaps in teaching of design competencies at SUTD. We analyse competencies in 28 design courses at SUTD. We develop the visualization and analysis of 12 skills grouped under two abilities from the Design competency assessment framework. Our main contributions are: (1) We present an approach to map the design competencies that are taught across design courses at a university with an interdisciplinary curriculum, (2) We present an approach for mapping design competency progression based on ITAE (Introduced, Taught, Assessed, Expected) categorization, (3) Based on the above, we provide preliminary findings on two skill gaps in the curriculum, substantiated with insights from interviews with course coordinators.

While products get more challenging to repair, the right-to-repair movement aims to empower consumers in their ability to “use, modify, and repair” a device “whenever, wherever, and however” they want. Here, the best design practices and remaining challenges of three industrial sectors – namely, consumer electronics, biomedical devices, and clothing industry – are investigated in light of the right-to-repair movement. Based on literature reviews and industrial surveys, a SWOT analysis is provided for each sector, and sustainable implications for product repair readiness are drawn. Concretely, recommendations to design, develop and sell products with right-to-repair in mind are given by sector. Future directions for a more quantitative assessment and implementation of design for product repair are discussed to ensure the augmentation of the circularity and sustainability performance of products.

Digitalization is one of the fundamental pillars of Industry 4.0. Within smart factories, Big Data Analytics systems play a key role in supporting the decision-making process of various stages of business processes. In this context, this research aims to identify solutions able to process large volumes of data from digital business processes with the final goal of adding value to the organisation. More specifically, the research deals with the implementation of a digital manufacturing tool able to digitize the workforce management process. The research has been applied in the case study of an Italian manufacturing company operating in the leather goods sector through the digitalization of the workforce management by a cloud-based platform. The implementation of the tool increases the efficiency of the production process, provides efficient management and integrates workforce data into one system. The implemented tool generates a large volume of data, the final goal is to make data user-friendly to support business decisions. Digitisation provides an exchange of information to support managers to make confident decisions.

Platform design has been firmly established in the automotive industry as a strategy to provide wider product variety while maintaining cost effective production. But this strategy can struggle to keep up with the pace and nature of emerging technologies. This paper reviews the existing approaches to modelling product platforms, and showcases the challenges at OEMs introducing new technological innovations in their platforms. A gap is identified in the methods to assess the ability of existing platforms to integrate new technologies whenever they become available.

Additive manufacturing has the potential to decrease the climate impact of aviation by providing more light-weight designs. Sustainability is however required to be assessed from a systemic view, including all lifecycle phases, and from a social, ecologic, and economic dimension. This is however challenging in early phase design, where also a large design space need to be explored. A case study is carried out with an aerospace company where two candidate engineering design tools are combined to address this. The integration of these two engineering tools are applied on a Turbine Rear Structure, and shows promising results in enabling a systemic view of sustainability to be integrated and assessed in early phase design space explorations of additive manufactured components. It is recommended that the integration between the two tools is further established and validated.

This paper examines how human and organizational factors need to be designed to achieve strong technological maturity of either the products or the production process. In a fuzzy-set qualitative comparative analysis (fs/QCA), a combination of intensive training and strong worker participation is found to be associated with strong technological maturity in the two organizational contexts: firms with a strong entrepreneurial culture and in large firms oriented towards customer-oriented innovation. Overall, the paper uncovers designs or causal recipes for a successful digital transformation.

Aluminum foam sandwich (AFS) is an innovative material for lightweight structures due to its various advantages (e.g. low specific mass). Today, many material properties (e.g. strength) are still not well researched, which is why AFS is not yet considered in current material selection processes. Therefore, AFS has rarely been used in the past and its application potential remains unused. This paper presents an approach toward an appropriate method for considering AFS in material selection processes to assist designers in evaluating whether the use of AFS in an application is profitable.