This study presents a method for early identification of AM-suitable components and circular design routes. A structured, data-lean questionnaire with AHP-based weighting, combined with rule-based R-strategy identification and an AM-specific feasibility gate, enables transparent screening in early development. Demonstrated on a structural bus component for both diesel and electric operation, the approach proposes a dominant R-strategy and integrates a prospective LCA-in-the-loop workflow, showing how early circularity signals and life-cycle feedback inform robust redesign decisions.

This paper explores the role of artificial intelligence to reduce resource burden and support service delivery processes in generalist secondary-care mental health services in the Netherlands. Through semi-structured interviews with domain experts and using service blueprinting as a stimulus, we identified challenges and bottlenecks in mental health care pathways and intervention opportunities. We propose four intervention directions for design researchers and developers to prototype and assess how AI technologies may alleviate capacity issues in mental healthcare.

A power electronics pack for refrigerated transport was redesigned to overcome limitations in power density, efficiency, and compactness. An iterative approach combining CAD modeling with thermal and mechanical simulations guided geometry, material selection, and cooling design. Applying Design-for-Excellence principles, multiple submodules were consolidated into a single enclosure with three functional zones. Structural and thermal validations confirmed compliance under extreme conditions. The optimized pack achieved 31 kg (57% reduction) and 671 W/L power density (338% improvement).

The powder bed fusion by laser beam of metals (PBF-LB/M) offers the possibility of directly integrating particle dampers during manufacturing. Building on an existing optimization tool, this article investigates the optimization and multi-material additive manufacturing (AM) of a bracket for an atom chip of a quantum inertial sensor. The bracket is optimized in terms of mass, stiffness, and damping properties, and subsequently manufactured using Scalmalloy and tungsten in a PBF-LB/M process. The results provide findings into component design as well as into the pre-processing phase of AM.

Venture Clienting enables firms to identify and realize innovation opportunities more rapidly through collaboration with start-ups. However, its implementation remains fragmented and prone to failure because organizations lack a coherent strategic architecture. This paper introduces the Venture Clienting Strategy Canvas, a single-view framework developed through Action Design Research. Fourteen essential elements were identified and organized into a layered structure. Applied in two firms, the canvas improved strategy design, articulation, and internal communication.

Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national working group. The article is divided in three main sections where there are certain recommendations identified for each one of them: data collections, use, and availability. Discovering how others addressed and solved problems can be a way for all of us to improve our capacity to stand up to the scrutiny of ethical governance bodies, while also increasing our capacity to responsibly address novel, rare, or otherwise difficult situations for which institutions provide limited guidance. We see this as a first step toward a virtuous circle, or a form of “generalized indirect reciprocity” whereby researchers share information that may be relevant for others, and benefit at the same time from the information given by other members of the social networks analysis community. Our goal is to continue to produce and promote scientifically solid, ethical social network research.

As companies face increasing accountability for resource efficiency, circularity measures like repair or remanufacture offer a promising solution. Modeling expected product lifecycles in early design phases is crucial for planning their effective application. This paper introduces a hierarchical lifecycle model to represent component-specific lifecycle paths across all product architecture levels in a single model. Our approach ensures consistency across hierarchy levels and facilitates precise application of component-specific circularity measures, promoting effective circular product design.

Rebound effects occur when sustainability interventions trigger behavioural or systemic responses that offset environmental benefits. This paper explores how designers encounter and seek to prevent them in practice, based on nine interviews with sustainability-oriented practitioners. We identify twelve challenges across micro, meso and macro levels, showing that effective prevention requires aligning behavioural literacy, organisational governance and structural incentives across design contexts.

This study investigates how clinicians and technicians describe the preparation and use of CAD models in collaborative design sessions for mass personalised products. Semi-structured interviews with ten professionals were analysed using thematic analysis. The findings revealed three themes: the input data required before modelling, the additional information that supports interaction with the CAD model, and the role-specific ways in which contributors evaluate it. These insights guided the development of an initial parametric CAD model intended to support future collaborative work.

This study investigates the gap between objective and subjective garment quality and explores how insights from subjective quality can inform industry practices to enhance product longevity. Based on 16 interviews, findings reveal that consumers rely on subjective-intuitive aspects to form quality expectations and subjective-aligned aspects that emerge through experiences. Qualitative use emerges as a crucial connection between subjective and objective quality. These insights inform design strategies promoting garment longevity across three phases: design, primary retail, and secondary retail.

Early embodiment design requires sustainability considerations for design alternatives that traditional LCA techniques cannot efficiently support. This paper presents a fast parametric LCA model that expresses environmental impacts as linear functions of material mass, recycled content and recyclability potential, allowing rapid evaluation of design alternatives. Applied to load break switch drives of two generations, the model achieves a MAPE below 5% relative to conventional ISO-compliant LCA results and demonstrates its capability to support design space exploration.

Product configuration systems support customized design in complex engineering. However, as products grow in complexity, the configuration model also grows, making it important to manage these models effectively. Based on industrial case studies, This study shows how companies structure their configuration models and how modularization helps improve flexibility, maintainability, and scalability. The results provide empirical insights and practical guidance for structuring robust configuration models in complex engineering contexts.

The Circular Life Cycle Blueprint (CLB) is a four-step design methodology for integrating circular economy principles at the component level in product design. Developed via a design science approach with iterative prototyping and evaluation, the CLB guides design teams from conceptualizing circular strategies to mapping component lifecycles and conducting a sustainability assessment. Pilot evaluation with industry professionals indicates that the CLB is effective and user-friendly, fostering innovative circular design and demonstrating practical viability in sustainable product development.

This study examines barriers for circular ecosystems in literature, and identifies 11 enabling factors for collaboration in circular ecosystems. Based on a web-based analysis of 763 European CE projects, the study analyses how factors are addressed in practice. Collaborative processes, trust building, and technological enablers were most frequent, supporting relational foundations via digital tools. Projects often signal collaboration but rarely detail governance or ecosystem orchestration. Findings highlight design capabilities to foster shared-value creation in circular ecosystems.

E-scooters have cemented their position as a convenient transport solution in urban areas, with hundreds of millions of e-scooter trips completed globally each year. This study investigates and presents useful tyre performance data for 12 e-scooter tyres, including three novel 3D printed tyres made from 90A TPU. The results highlight the potential of 3D printed tyres to provide comparable performance to existing e-scooter tyres. The information presented in this study is useful to better understand the energy losses associated with these devices.

Small and medium-sized enterprises often lack the time, expertise, and tools for effective scenario management. This paper proposes a modular, AI-enabled scenario architecture integrating a guided wizard and expert environment on a shared knowledge backbone. The design aims to reduce effort and tool fragmentation while preserving human judgment, structural quality, explainability, and traceability. The proposed pattern outlines a provenance-aware foresight pipeline with human-in-the-loop capabilities that aims to transform one-off projects into reusable organizational knowledge.

This article motivates the use of MBSE and SysML for organizational development and argues for a model-based integration of sustainable leadership (SL) into sustainable manufacturing (SM). We discuss whether modeling requirements resulting from SM and SL literature can be met by SysML and introduce an initial black box perspective and meta-model. The work is part of a larger research project aiming to transfer findings from SM and SL research into a model-based integrated SM in order to support a human-centered perspective. This work shows that SysML is suitable for organizational use cases.

Current funeral materials prioritise preservation over ecological integration, perpetuating extractive practices that damage environments while reinforcing cultural death denial. Extending the emerging trajectory of regenerative death care, this paper proposes regenerative biomaterials using post-mortem resource recovery via alkaline hydrolysis (water cremation). Effluent burial vessels and bone-ash tree guards demonstrate life-centred design methodologies, positioning soil ecosystems and native vegetation as design stakeholders. The research reveals how biomaterials designed for ecological wellbeing create regenerative infrastructure addressing both human grief and landscape healing needs. Biodesign materials are designed to nurture soil microbiomes and support native plant establishment over 24-month decomposition cycles to challenge industrial death care’s resistance to natural cycles. This work contributes a methodological deepening of regenerative death care beyond harm reduction, establishing methodologies for designing with more-than-human agencies through speculative material experimentation. The project reimagines death not as waste requiring disposal, but as a resource that contributes to ecosystem regeneration.