bluuebunny/crossref_metadata_2025 huggingface dataset:
EXTRACTING LATENT NEEDS FROM ONLINE REVIEWS THROUGH DEEP LEARNING BASED LANGUAGE MODEL
Authors: Han Yi , Bruggeman Ryan , Peper Joseph , Ciliotta Chehade Estefania , Marion Tucker , Ciuccarelli Paolo , Moghaddam Mohsen
Published: June 2023

Aspect-based sentiment analysis (ABSA) provides an opportunity to systematically generate user's opinions of specific aspects to enrich the idea creation process in the early stage of product/service design process. Yet, the current ABSA task has two major limitations. First, existing research mostly focusing on the subsets of ABSA task, e.g. aspect-sentiment extraction, extract aspect, opinion, and sentiment in a unified model is still an open problem. Second, the implicit opinion and sentiment are ignored in the current ABSA task. This article tackles these gaps by (1) creating a new annotated dataset comprised of five types of labels, including aspect, category, opinion, sentiment, and implicit indicator (ACOSI) and (2) developing a unified model which could extract all five types of labels simultaneously in a generative manner. Numerical experiments conducted on the manually labeled dataset originally scraped from three major e-Commerce retail stores for apparel and footwear products indicate the performance, scalability, and potentials of the framework developed. Several directions are provided for future exploration in the area of automated aspect-based sentiment analysis for user-centered design.
FOUR PATTERNS OF DATA-DRIVEN DESIGN ACTIVITIES IN NEW PRODUCT DEVELOPMENT
Authors: Lee Boyeun , Ahmed-Kristensen Saeema
Published: June 2023

In the midst of Industry 4.0 where digitalisation is stimulated through the Internet of Things (IoT), Big Data, and machine learning technologies, an increasing volume of valuable data has been acquired from sensors and interconnected devices. This data-driven paradigm can enable organisations to create new or improved products and services, build long-term customer relationships in a value co-creation manner, adapt to continuous business reconfiguration or address societal challenges such as sustainability. Scientific research addressing Data-driven design has increased steadily in the last few years. However, despite this, there is still a need for a comprehensive understanding of data-driven design processes. Thus, through a systematic literature review, we review the data-driven design activities observed in the new product and service development and types of data utilised in New Product Development (NPD) process. This paper contributes to design research and through reviewing the current landscape of Data-driven design identifies ten data-driven design activities and four-dimensional aspects in NPD process.
FROM HAPTIC INTERACTION TO DESIGN INSIGHT: AN EMPIRICAL COMPARISON OF COMMERCIAL HAND-TRACKING TECHNOLOGY
Authors: Cox Christopher Michael Jason , Hicks Ben , Gopsill James , Snider Chris
Published: June 2023

Advancements in prototyping technologies – haptics and extended reality – are creating exciting new environments to enhance stakeholder and user interaction with design concepts. These interactions can now occur earlier in the design process, transforming feedback mechanisms resulting in greater and faster iterations. This is essential for bringing right-first-time products to market as quickly as possible.

While existing feedback tools, such as speak-aloud, surveys and/or questionnaires, are a useful means for capturing user feedback and reflections on interactions, there is a desire to explicitly map user feedback to their physical prototype interaction. Over the past decade, several hand-tracking tools have been developed that can, in principle, capture product user interaction.

In this paper, we explore the capability of the LeapMotion Controller, MediaPipe and Manus Prime X Haptic gloves to capture user interaction with prototypes. A broad perspective of capability is adopted, including accuracy as well as the practical aspects of knowledge, skills, and ease of use. In this study, challenges in accuracy, occlusion and data processing were elicited in the capture and translation of user interaction into design insights.
‘INDRIYA’ – PARTICIPATORY DESIGN OF A MULTI-SENSORY LEARNING AID FOR CHILDREN WITH COMMUNICATION DISORDER
Authors: Venkatesh Kavyashree , Acharya Shakuntala
Published: June 2023

Designing for disability is a very specialised area as it requires interdisciplinary expertise, and designing assistive devices for children with communication disorder, is especially a challenge as these users are incapable of providing adequate and coherent feedback. With the adoption of participatory design approach, in collaboration with experts/professionals/educators, as pivotal stakeholders and a proxy for the end-users; a game-based, multi-sensory learning aid has been developed to train children on the concept of sense organs. Several concepts were generated and evaluated through special educator participation and based on a preliminary survey of external special educators as evaluators, the prototype was found to be suitable for the target user to enhance their communication skills. This paper captures a research through design perspective on the design of customisable solutions for beneficiary user groups, who are unable to offer feedback.
FUNCTION DRIVEN ASSESSMENT OF MANUFACTURING RISKS IN CONCEPT GENERATION STAGES
Authors: Brahma Arindam , Panarotto Massimo , Kipouros Timoleon , Isaksson Ola , Andersson Petter , Clarkson P. John
Published: June 2023

Decisions made in the concept generation phase have a significant effect on the product. While product- related risks typically can be considered in the early stages of design, risks such as supply chain and manufacturing methods are rarely easy to account for in early phases. This is because the currently available methods require mature data, which may not be available during concept generation. In this paper, we propose an approach to address this. First, the product and the non-product (manufacturing and/or supply chain) attributes are modelled using the enhanced function means (EF-M) modelling method. The EF-M method provides the opportunity to model alternative solutions-set for functions. Dependencies are then mapped within the product and the manufacturing models, and also in between them. An automatic combinatorial method of concept generation is employed where each generated instance is a design concept-manufacturing method pair. A risk propagation algorithm is then used to assess the risks of all the generated alternatives.
HOW AND WHY INSTRUCTORS INCLUDE AND EXCLUDE SOCIAL, POLICY, AND ETHICAL CONSIDERATIONS IN DESIGN EDUCATION
Authors: Das Madhurima , Saadi Jana I. , Santos Marina , Roeder Gillian , Ostrowski Anastasia K. , Lee Stella , Breazeal Cynthia , D'Ignazio Catherine , Yang Maria , Verma Aditi
Published: June 2023

Design and engineering are socio-technical enterprises used to solve real-world problems. However, students in these fields are often under-equipped to consider the ethical and societal implications of their work. Our prior work showed that these societal considerations are more consistently embedded in design pedagogy in non-engineering than in engineering courses at MIT. Here, we examine underlying causes for this through a survey of instructors (231 courses from 29 departments). The main contribution of this work is an analysis of whether and how instructors incorporate social, ethical, and policy considerations in design pedagogy. The majority of respondents (60.6%) included these topics in their courses, primarily through discussion of social justice, identity groups, and ethics. These concepts were included more in non-engineering courses (65.8%) than engineering courses (46.9%). Many instructors, especially in engineering, cited irrelevance as the reason for not engaging with these topics in their courses (86.1% compared to 44.2% in non-engineering). We suggest that instructors question this perception and use the examples provided as a starting point to explore integration of these concepts into their technical content.
HOW DO PROTOTYPES CHANGE? CHARACTERISING QUANTITATIVE AND QUALITATIVE CHANGES BETWEEN PROTOTYPE ITERATIONS
Authors: Real Ricardo , Snider Chris , Goudswaard Mark , Hicks Ben
Published: June 2023

Prototyping strategies and technology often focus on reducing the fabrication time and cost between design iterations, however, there is limited knowledge about the specific characteristics of change that prototyping strategies aim to impact. To investigate, and better understand these characteristics, this study curates and systematically analyses a representative dataset of 50 'real-world' prototype samples. The study aims to explore the various elements that constitute a design change and to determine their impact on the scale of volumetric change detected. The results highlight emergent patterns and correlations between study metrics to better understand the reasons for design change and the frequency and scale of changes detected in the sample dataset. Findings reveal that the purpose of a design change is, in certain cases, highly correlated to the scale of change affected, and that some changes are more prevalent in the dataset than others, with an average volumetric difference of 4.2% between sample versions detected. The study provides an initial characterisation of prototype change to guide iterative prototyping processes and improve the efficiency and effectiveness of design iterations.
HOW DOES VIRTUAL REALITY (VR) FACILITATE DESIGN? A REVIEW OF VR USAGE IN EARLY-STAGE ENGINEERING DESIGN
Authors: Liao Ting , She Jinjuan
Published: June 2023

Virtual reality (VR) has been widely used in engineering design in different ways. It has the potential to enhance some design aspects, such as visualization and interaction, but might be incapable of solving the others. There are no consensus or general guidelines on how VR can facilitate design processes. This paper aims to understand how VR is currently used in engineering design at an early stage, so that researchers and practitioners can better know when and how to use VR for efficient design activities. Specifically, this paper reviews the research questions and applications addressed by using VR technology. The study helps identify the design questions currently studied, and gaps to be filled in order to use VR effectively for optimal design outcomes. This review also provides guidelines about when and how to use VR in design research and practices.
HYBRID EDUCATION CONTENT AND PLATFORM FOR BACHELOR CURRICULUM IN TECHNOLOGY AND ENGINEERING
Authors: Eynard Benoit , Bachmann Pascale , Le-Loch Sébastien , Picard Damien , Guérin Jean-Dominique , Bricogne Matthieu , Reyes Tatiana
Published: June 2023

During coronavirus time, academic organisations and education institutions have been faced to amazing and radical changes from one day to the other of their teaching contexts, practices, materials and standards and so on. Due to pandemic, in many countries professors, teachers, educators have been obliged to switch on remote education and teaching models with numerous virtual and digital solutions that at the beginning were more or less efficient and professional based. The paper will present a experiment feedback for large hybridation of technology and engineering curriculum for bachelor degree in French higher education system. The educational content and platform has been developed by the consortium of 14 different universities and higher education institutions. In the global topics covered by the project, a specific focus will be given in the paper on subject dealing with engineering design, systems engineering and sustainanibility.
IMMERSIVE GAZE SHARING FOR ENHANCING COMMUNICATION IN DESIGN EDUCATION: AN INITIAL USER STUDY IN THE CONTEXT OF ARCHITECTURAL DESIGN CRITIQUES
Authors: Kahlon Yuval , Maurya Santosh , Fujii Haruyuki
Published: June 2023

Gaze sharing is an emerging technology which can enhance human communication and collaboration. As such, it is expected to play an important role in future educational practices. To date, its application was not explored in the context of design education. Additionally, it was mainly implemented in non-immersive environments, which are limited in their potential for engaging learners. Acknowledging the growing interest in immersive learning, as well as the promise made by gaze sharing technology, we strive to develop an immersive gaze sharing environment, to support design education. As a first step, we have implemented and tested an immersive gaze sharing system for supporting design learners. The system was then tested by focusing on a scenario of architectural design, with the aim of collecting valuable user feedback regarding its usability and potential. Our initial user study informs developers of such systems regarding potential issues that may be encountered during deployment in a real-world setting and proposes concrete ways to address these. These insights can help to pave the way for integrating gaze sharing system into design education practices in the near future.
INCORPORATING FIELD EFFECTS INTO THE DESIGN OF MODULAR PRODUCT FAMILIES
Authors: Kuechenhof Jan , Berschik Markus C. , Beibl Julia , Alonso Fernández Iñigo , Otto Kevin , Krause Dieter , Isaksson Ola
Published: June 2023

With advancing digitalization, new technologies with more and more digital components make it necessary to integrate new components into current and future products. Sensors and actuators, such as motors, emit electromagnetic and thermal fields that can greatly affect product performance. Recent work has considered fields at the functional level using functional structures and at the system level using DSM. In this paper, the effects of fields on product architecture are investigated at the component level. Using an appropriate visualization, the impact of fields on the product structure is considered. Architectural guidelines are then used to develop suitable product structures. The methodological approach is then applied to a product family of vacuum cleaner robots. The overlaid field information helps to gain deeper insights into the product architecture. The approach is useful for representing alternative structures. The new mapping of functional and structural relationships by moving module boundaries against fields can help promote architectural innovation.
INCREASING STUDENT CONFIDENCE THROUGH EXPERIENTIAL DESIGN EXERCISES IN ENGINEERING SCIENCE COURSES
Authors: Krauss Gordon
Published: June 2023

This study investigates the impact on student confidence of completing in-lecture engineering design activities focused on the application of specific engineering science topics within a materials engineering course. Many times, engineering science courses are taught with the expectation that the course content can be easily translated by students at a later time to apply in engineering design activities. By measuring student self-reported confidence across several related topics before and after completion of the in-lecture design exercises the impact of the exercises on student confidence has been quantified. On average, students have a lower than desired confidence in applying the specific materials engineering topics to a design problem after completing only the course content on the subject. Following completion of the related seventy-five minute design exercise, student confidence increased by a statistically significant degree. These results suggest that close integration of topical content learning with design application activity may be a useful method to improve engineering student confidence and, by extension, retention.
A KNOWLEDGE GRAPH AND RULE BASED REASONING METHOD FOR EXTRACTING SAPPHIRE INFORMATION FROM TEXT
Authors: Bhattacharya Kausik , Chakrabarti Amaresh
Published: June 2023

Representation of design information using causal ontologies is very effective for creative ideation in product design. Hence researchers created databases with models of engineering and biological systems using causal ontologies. Manually building many models using technical documents requires significant effort by specialists. Researchers worked on the automatic extraction of design information leveraging the computational techniques of Machine Learning. But these methods are data intensive, have manual touch points and have not yet reported the end-to-end performance of the process. In this paper, we present the results of a new method inspired by the cognitive process followed by specialists. This method uses the Knowledge Graph with Rule based reasoning for information extraction for the SAPPhIRE causality model from natural language texts. Unlike the supervised learning methods, this new method does not require data intensive modelling. We report the performance of the end-to-end information extraction process, which is found to be a promising alternative.
INDUSTRIAL PERSPECTIVES ON THE ADOPTION OF VIRTUAL TESTING
Authors: Tahera Khadija , Jowers Iestyn , Loureiro-Koechlin Cecilia , Eckert Claudia , Lockett Helen
Published: June 2023

This research aimed to gain insight into current practices and challenges with respect to the adoption of virtual testing and integration with physical testing in product development processes. A focused workshop investigated industrial perspectives on adopting virtual testing and current challenges. This paper reports the findings from the workshop in which representatives from a range of industries explored how virtual testing is used to support physical testing in their different contexts. This paper discusses the current challenges industries face in adopting virtual testing and changing role of physical testing, with reference to recent literature on physical and virtual testing and supported by an earlier empirical case study. This paper reports areas where more research is needed to support industries in overcoming these challenges.
INSTANTIATING A GENERIC PROCESS MODEL FOR EARLY-STAGE PRODUCT-SERVICE SYSTEM (PSS) DESIGN IN TWO CAPITAL GOODS MANUFACTURING COMPANIES
Authors: Sarancic David , Sánchez Díez Andrea , Pigosso Daniela C. A. , McAloone Tim C.
Published: June 2023

Product-Service Systems (PSS) are seen as key enablers of circularity. However, better sustainability performance of PSS when compared to transactional business models is not given and it must be carefully considered in the design process. The early-stage PSS design is considered crucial because it determines most of the future offerings' impact. Nevertheless, manufacturing companies struggle with PSS design and often rely on ad hoc intuitive approaches with low success rates. Current PSS design approaches have been dispersed in literature until a recent systematic literature review by the authors proposed a comprehensive generic process model to enable the inclusion of sustainability considerations in the early stages. This paper takes the generic process model as a starting point and instantiates it to the context of two manufacturing companies, seeking to (i) explore the instantiation process from a generic to company-specific process models to support manufacturing companies; and (ii) reflect upon and prepare an evaluation of the generic process model concerning eight predefined criteria. The study reveals a number of potential areas for improving both generic and instantiated process models.
KNOWLEDGE-BASED DATA IDENTIFICATION FOR MACHINE LEARNING USE CASES
Authors: Ebel Helena , Ben Hassine Sahar , Stark Rainer
Published: June 2023

The number of digital solutions based on machine learning has increased in recent years. In many industrial sectors, they try to enhance automation in manual or repetitive tasks or provide decision support for complex problems. Data plays an essential role in the selection and implementation of ML algorithms, as it determines the quality of the training and the results. As data drive ML models, selecting the correct data with the suitable ML algorithm for a given use case is crucial but challenging. This paper reviews the application of machine learning in the embodiment design phase addressing the challenge. The work focuses on ML applications in conventional product development and non-conventional additive manufacturing processes. Based on the literature review, the required knowledge to implement the ML algorithms has been derived and presented in a systematic approach. This work highlights the importance of an initial analysis of the existing knowledge in the engineering and additive manufacturing processes in order to implement the proper ML algorithms.
KNOWLEDGE-DRIVEN DESIGN FOR ADDITIVE MANUFACTURING: A FRAMEWORK FOR DESIGN ADAPTATION
Authors: Schaechtl Paul , Goetz Stefan , Schleich Benjamin , Wartzack Sandro
Published: June 2023

Due to the high freedom of design, additive manufacturing (AM) is increasingly substituting conventional manufacturing technology in several sectors. However, the knowledge and the awareness for the suitable design of additively manufactured components or assemblies ensuring manufacturability and fully realizing its potential is still lacking. In recent years, approaches and tools have emerged that allow the incorporation of existing knowledge of Design for Additive Manufacturing (DfAM) into the design process. Nevertheless, these applications mostly do not consider the formalisation of both restrictive and opportunistic DfAM guidelines for their integration in design tools.

Therefore, the following article presents a framework for the knowledge-driven adaptation of existing designs in the context of DfAM within an expert system. The novelty of the presented approach lies in the interdisciplinarity between the formalization of design guidelines and their integration and consideration within computeraided design for the semi-automated adaptation of functional non-assembly mechanisms. The application of the presented framework to a case study manufactured via Fused Layer Modeling (FLM) illustrates the applicability and benefits.
LET ME FINISH MY THOUGHT: PROCESS INTERVENTIONS TO CHANGE TEAM BEHAVIOR DURING REMOTE DESIGN COLLABORATION
Authors: Domingo Lawrence , Leifer Larry , Auernhammer Jan
Published: June 2023

This research investigates changes in team behavior and communication through interruptions and gestures, due to design process strategies in pre-formed remote teams for conceptual design tasks. Understanding creative remote team behavior is important due to the increase of remote communication in knowledge work. Teams were given a creative or analytical condition intervention to facilitate their conceptual design team process. The research contributes to the human-computing interaction literature by characterizing changes in distributed team behavior due to process method interventions. The creative condition exhibited a decrease in interruptions. The analytical condition exhibited a decrease in gestures and an increase in problem characterization at the cost of ideation discussion. Remote team members can better gauge which meetings or work tasks are best to be done in person or remotely by gauging not just the task but also the team behavior.
LOOKING BEYOND SELF-REPORTED COGNITIVE LOAD: INVESTIGATING THE USE OF EYE TRACKING IN THE STUDY OF DESIGN REPRESENTATIONS IN ENGINEERING DESIGN
Authors: Cass Madison , Prabhu Rohan
Published: June 2023

Designers are experiencing greater mental demands given the complexity of design tools, necessitating the study of cognitive load in design. Researchers have identified task- and designer-related factors that affect cognitive load; however, these studies primarily use self-reported measures that could be inaccurate and incomplete. Little research has tested the accuracy and completeness of self-reported measures and we aim to explore this gap. Towards this aim, we seek to answer the question: How does cognitive load vary based on the different design representations used, and do these differences depend on the measure of cognitive load? From our results, we see that the design representations vary in the range of cognitive load experienced by designers when using them. Moreover, this role of the range of cognitive load variance was observed given our use of pupil diameter. These findings call for the use of a multi-modal approach for measuring cognitive load with the combined use of subjective (e.g., self-report) and objective measures (e.g., physiological measures), as well as the use of both retrospective (e.g., self-report) and concurrent measures (e.g., physiological measures).
MANAGERS' UNDERSTANDING OF AGILE IN HARDWARE DEVELOPMENT
Authors: Orejuela Silvia , Motte Damien , Johansson Glenn
Published: June 2023

The agile methodology is gaining attention among practitioners and researchers in hardware development. As a new methodology, it is a source of misunderstandings and misinterpretations. This is problematic at the managers' levels as they may hinder its adoption or lead to its impractical implementation and use. This study, therefore, aims to explore the manager's level of understanding of the agile methodology. The study identifies the similarities and differences between the fundamental elements of the agile methodology and the elements mentioned by managers in hardware development. The fundamental elements of the agile methodology are identified based on the elements presented in the Scrum method; the elements mentioned by managers are identified based on ten semi-structured interviews with managers in hardware development. The study shows that the understanding of the agile methodology varies largely among managers. The obtained detailed insights in the managers' level of understanding of the agile methodology could be used to develop appropriate support to facilitate its adoption and implementation.
A METHOD FOR PRESCRIBING PSYCHOLOGICAL OWNERSHIP: A PROJECT HANDOVER CASE STUDY
Authors: Cedeno Michelle Rose , Baxter Weston , Porat Tayla , Peck Joann
Published: June 2023

Among the topics of psychological ownership (PO) within current literature, a significant gap exists in understanding PO within a prescriptive lens. This study will examine how instigating the PO mapping method will help us understand how the PO mapping method can support an ownership journey. In addition, we want to see how we can create a prescriptive ownership structure that one follows rather than using the tool as a descriptive method. To do this we will follow a Research Through Design methodology and test the PO mapping method in an organisational case study. We believe that the PO mapping method can help frame and guide organisational project handovers. We want to examine the factors that influence the parties (project teams) emergence and relinquishment of ownership, and how that affects the feeling of ownership of a project over time. Based on this understanding we will derive prescriptive phases to integrate into our PO mapping method. Thus this study demonstrates how the PO mapping method can be used in different contexts to support and provide prescriptive guidance for ownership journeys.
MEASURING PATENT NOVELTY USING NATURAL LANGUAGE PROCESSING
Authors: Yassine Ali , Lipizzi Carlo
Published: June 2023

This paper develops a novelty measure for patents. We devise a text-based novelty measure using natural language processing (NLP) techniques. The proposed method is applied on patents that belong to a common category, which represents a subset of patents under a specific patent class. We then extract the novelty-value profile of those patents and discuss a use case for product design and development (i.e., extracting patent novelty and predicting inventive value).
NEW PRODUCT DEVELOPMENT PROCESS FOR MEDTECH COMBINATION PRODUCTS
Authors: Menshenin Yaroslav , Pinquié Romain , Chevrier Pierre
Published: June 2023

The MedTech product development is experiencing a growing complexity of the design process. The design challenge is to keep the medical device simple and user-friendly while maintaining its interconnectivity with the other systems and products. The additional layer of complexity comes from the need to satisfy both - direct customers (pharma companies), and indirect ones (patients, health care practitioners, and pharmacists). Solving those design challenges must not compromise the safety of the end-user and must follow the regulatory requirements.

This research proposes the systematic design process for MedTech combination product development with the emphasis on product strategy and concept development operationalized by design thinking participative toolkit. The proposed approach serves the purpose of increasing the traceability between the early made business decisions on a product strategy level of MedTech company, and the engineering decisions made on product concept level. The ultimate goal of the research is to support the decision-makers with methods and tools which would allow them to make informed decisions on investment in a new MedTech combination product by Pharma and MedTech companies.
POTENTIALS AND GOALS OF MODELS IN STRATEGIC PRODUCT PLANNING AND INNOVATION MANAGEMENT
Authors: Gräßler Iris , Koch Anna-Sophie , Tušek Alena Marie
Published: June 2023

New trends and technologies in product creation increase complexity, but at the same time create new potentials such as efficiency rise in task processing by Artificial Intelligence. Established models in the early phase of product creation such as the W-model or the Aachener Innovation Management model, do not fully exploit these new potentials in the field of strategic product planning and innovation management (SPPIM). For this reason, existing models are analysed in SPPIM in order to derive a requirements profile consisting of potentials and goals for a new model. A new model in SPPIM lays the foundation to support companies in enabling a more efficient task fulfilment by taking advantage of new technologies and trends. To guide the development of advanced SPPIM models, the derived potentials and goals are applied to the guideline VDI 2220:1980.
REDUCING THE RISK OF PATENT INFRINGEMENT
Authors: Stauffer Larry
Published: June 2023

One life-cycle issue that is often overlooked in the design process is that of intellectual property (IP). Yet the IP associated with a product is a valuable asset of the company, sometime comparable to the materials produced or the manufacturing infrastructure. In particular, this paper addresses the IP of patents, the opportunity for patent infringement, and ways to reduce the risk of getting into this situation. One poorly managed patent infringement case could cost the company millions of dollars, wiping out years of profit from production of that product. Patent infringement is a complex topic that combines design and law with many uncertainties. Designing products that do not infringe the patent rights of others is a goal that cannot be done with certainty. A primary reason is due to the uncertainty of understanding what is protected in a patent and the uncertainty of the patent infringement process. The purpose of this paper is to educate the designer on what constitutes patent infringement and explain some ways to reduce the risk of infringing the patent rights of others.
A MULTILAYER GRAPH NETWORK-BASED TOOL FOR IDENTIFYING KEY PROJECT ACTORS
Authors: Efrati Shlomi , Reich Yoram
Published: June 2023

As the demands for new complex products/services increase, leading to strict constraints on budget and time-to-market, it is hard to learn from experience and improve practice. Improvement can be exercised in all aspects contributing to project management: the skill set of project personnel, the project structure, and the development process. People are the key asset of the project. Identifying the key participants in a project whose role is influential is important for improving the project's success. These people can receive support, remove their burdens, make sure their communication channels work well, etc. This paper offers a multilayer network-based method to examine an actor's influence in a project while combining two additional organizational key aspects: products and processes. Considering these three aspects together allows for a more informed evaluation of the actors' influence on the project. Using the insight from graph theory, we gain indicators related to each network actor. The influence of the actors in a multidimensional network makes it possible to present a clearer picture to decision-makers in the organization to make better decisions related to increasing the effectiveness of the development project.
ROBUST PRODUCT DESIGN – INFLUENCING FACTORS ON UPGRADEABLE MODULAR PRODUCTS
Authors: Kübler Maximilian Stephan , Beck Frederik , Glasmacher Bastian , Rapp Simon , Albers Albert
Published: June 2023

In today's VUCA-World it is necessary to consider future requirements to develop change- and future-robust future products, especially regarding the increasing demand for sustainable solutions. In order to address this situation, upgradeability of modular products can be a solution. Considering that elements of modular products are used in several different products and over a long period of time, there is a need to act on this challenge. To uncover areas with a need for action, a systematic literature review on upgradeable and modular products was conducted. After resolving four fields of action and under consideration of the need for sustainable products, another systematic literature review examined the solution space of upgradable modular product architecture. In conclusion, several influencing factors on the upgradeable design of modular products could be identified, which are presented in this work.
SENSING IN-SITU TEMPERATURES BY COORDINATES IN FUSED FILAMENT FABRICATION FOR IDENTIFYING INTERLAYER ANISOTROPIC MECHANICAL PROPERTIES AND ENABLING POST-FEM ANALYSIS
Authors: Amlie Erik , Fylling Emil , Eikevåg Sindre Wold , Nesheim Ole S. , Steinert Martin , Elverum Christer W.
Published: June 2023

In Additive Manufacturing (AM), new generations of polymer composites presented as engineering- grade materials provide high-end mechanical properties with the design freedom AM provides. Interlayer anisotropy is the main challenge in both in-situ optimization and post-analysis in transitioning from prototypes to high-performance components in fused filament fabrication (FFF). Recent studies show a direct correlation between layer fusion temperature and mechanical properties. In this paper, we present synchronized position and temperature data and study how a component changes based on layer height and geometry. An IR sensor transfers data while printing a G-code generated by FullControllGcode, printing in a single direction and recording temperature in front of the nozzle. Results show that within each layer, a Δt of 20°C at thinner geometries, the heat loss will provide a reduction in mechanical properties and further heat loss occurs when moving away from the heated bed. By using the presented temperature mesh in further studies, post- printed anisotropic components can be analyzed by FEM, and the FFF process can be adaptively optimized based on location, size and geometry.
SUSTAINABLE CIRCULAR PACKAGING DESIGN: A SYSTEMATIC LITERATURE REVIEW ON STRATEGIES AND APPLICATIONS IN THE COSMETICS INDUSTRY
Authors: Kaestner Linda , Scope Christoph , Neumann Nikolas , Woelfel Christian
Published: June 2023

Packaging protects products, keeps their value and reduces waste. This is especially crucial in domains with perishable goods such as food, medicine or cosmetics. But conventional packaging solutions yield negative environmental impacts. In the EU, the largest share of plastics is used for packaging, causing a corresponding footprint. The application of sustainable strategies to packaging should help to reduce carbon dioxide emissions and promote the development of sustainable consumption. In this paper, a review is conducted on research that brings together circular economy, packaging design and cosmetics industry, by systematic literature review and content analysis. In addition to the current standards of conventional packaging, packaging alternatives are presented, which are categorised according to the R-strategies Refuse, Reduce, Reuse and Recycle.
SUSTAINABLE DESIGN EVALUATION – INTEGRATION OF SUSTAINABILITY IN PRODUCT DEVELOPMENT PROCESSES
Authors: Reichard Julian Johannes , Martin Alex
Published: June 2023

To develop sustainable products, product developers must be able to incorporate sustainability into individual decision processes during product development. In doing so, they are faced with the conflicting demands of time and cost pressure and the growing complexity caused by the many requirements and (sustainability) criteria.

The Sustainable Design Evaluation, which is presented in this publication, is a method to enable product developers to estimate the impact of their product-related decisions along the three dimensions of sustainability across all phases of the product life cycle. The core of the Sustainable Design Evaluation is a two-stage assessment technique enabling a relative and comparable quantification of ecological, economic, and social criteria. Furthermore, an aggregation scheme for those criteria is introduced. Based on the two-stage assessment technique and the system of aggregation, the results of the Sustainable Design Evaluation can be displayed clearly and interpreted easily by product developers to assess the impacts of their product-related decisions.

Thus, in contrast to existing methods, the SDE combines ease of use and interpretation with a sufficiently holistic sustainability assessment.
TECH TO MARKET. FINDING AND DESIGNING SUITABLE TECHNOLOGY APPLICATIONS WITH DESIGN THINKING
Authors: Cocchi Nicolò , Dosi Clio , Vignoli Matteo
Published: June 2023

Although it's human centered focus, design thinking has proven to be effective also in technology-driven projects, both in education and business. Yet, scant research has investigated whether and how design thinking might be leveraged to find new opportunities based on emerging technologies and design new innovation concepts accordingly. To address this gap, we employed an Action Innovation Management Research framework and co-designed a program called Tech to Market with Oper.Space, the design factory for Open Innovation of the University of Bologna. We ran 5 iterations of the program from October 2018 to December 2022, in which we conducted 52 interviews, observed 10 presentations, and held 10 meetings with the main stakeholders involved. Our results show how to apply design thinking to find and design a suitable application for a given technology, contributing to the ongoing conversation about the implementation of design thinking in technology-driven projects.
THE DOUGHNUT AS A SUPPORT OF THE “SUSTAINABLE VALUE ENGINEERING”
Authors: Lalevée Alexis , Troussier Nadège , Blanco Eric
Published: June 2023

Societies are faced to ecological crises and widening disparities. This has to be integrated in the management of complex projects as they are increasingly complex and impactful. Value Analysis can serve assessing the value of a project i.e. knowing how the project will be perceived by the Stakeholders. It is a collaborative approach that helps make decisions in the early stages of a complex project.

This paper aims at demonstrating that a new “Sustainable Value Analysis” (SVA) provides a decision-making support toward sustainability. SVA uses a new definition of Value and a set of indicators based on the Doughnut.

Methods for the introduction of sustainability in the upstream design phases have limitations, which are highlighted in the literature review. Yet, the potentials of value approaches can be shown. Based on this analysis, an illustrative case is proposed to demonstrate how to integrate the ecological and social dimensions in a classical Value Engineering approach to determine SVA. The article concludes that the SVA allows identifying and characterizing the sustainable dimensions of Value, through a collective approach based on Stakeholders.
THE EFFECTS OF SCENARIOS ON DECISION-MAKING QUALITY IN EARLY DESIGN – AN EMPIRICAL STUDY
Authors: Parolin Giácomo , McAloone Tim C. , Pigosso Daniela C. A.
Published: June 2023

Scenario planning is often used in design practice to foster futures thinking, reduce uncertainties and improve decision-making. Scenarios are especially relevant for innovation activities in manufacturing companies, such as technology development, a particularly uncertain process where many trade-offs occur. This study is, to the authors knowledge, the first to empirically measure the effect of scenarios in decision-making quality, in the context of technology development. In a quasi-experiment, engineers from a manufacturing company and university students were independently asked to analyse a trade-off situation between environmental and financial aspects of a technology concept, with and without scenarios. The quality of decision-making quality for control and experiment groups was measured through a standardized questionnaire. The results show that scenarios had a positive impact in 6 of the 7 quality decision-making practices (QMDP), although the effect size is small. The results suggest that both expert and novice designers may benefit from using scenario planning when performing early-stage design activities by having awareness of the decision context, a more structured decision process, and clearer decision criteria.
THE HOTDOG MODEL – HOW TURN A TIER 1 AUTOMOTIVE COMPANY INTO AN AGILE ORGANIZATION
Authors: Atzberger Alexander , Dethloff Conny
Published: June 2023

The more dynamic the markets become, i.e., the more surprises the markets have in store for companies, the more important it becomes for companies to react quickly to these changes in order to have market-driven and individual solutions. This is especially important for tier 1 suppliers, as competition is fierce and the customers, the OEMs, also have to adapt to the changing market and thus customer needs.

In order to be best prepared for this, it is necessary to align one's own company in a flexible and responsive manner. In particular, the context-specific development and application of a framework as well as a model for the improvement of internal collaboration in companies is necessary.

In this paper, exactly such a framework has been developed in several pilot projects within the framework of an agile transformation at a tier 1 supplier over a period of two years by means of participative action research.

As a result, the conception and development of an individually scaled agile framework for a tier 1 supplier in the automotive industry, the AHEAD framework, is presented here. The Hotdog model is the central basis for the collaboration model, which is scalable to all company levels.
THE SHARING ECONOMY'S SUCCESS: ADVANTAGES, DRAWBACKS, AND APPLICATIONS
Authors: Simic Vedran , Liem André
Published: June 2023

The emergence of intermediary platforms created networks that facilitate peer-to-peer interactions, as well as encourage the sharing of goods and services within the context of collaborative consumption and cost saving. This article sets out to inspect “why the sharing economy is so successful” and provide a critical viewpoint on the topic's essential ideas, while also taking a perspective on the advantages and disadvantages that affect the end users. A literature review paired with case studies of Airbnb, Uber, and other applications of the shared economy, looks upon how despite their rapid market growth in the past decade and public approval, such platforms caused disruptions to the markets they operate in. Results indicate that by being involved as a part of the collaborative consumption ecosystem, either as a provider or a user, the absence of personal ownership is key, while the utilisation of the product needs to be maximised to result in a pleasant experience. However, it is critical that the development of these platforms which thrive on connecting people stays closely monitored by regulatory bodies, and that the legislation needed for prevention of unethical practices follows quickly enough to ensure rightful operation.
THE T-SHAPED DESIGN ENGINEER – USING COHORTS TO EXPLORE HOW SKILLS PROFILES DIFFER THROUGH CAREER STAGES
Authors: Dekoninck Elies , Bridge Liam
Published: June 2023

The T-Shaped designer has previously been identified as a design engineer with the desirable set of skills for a successful career. Twelve design engineers ranging from novice to expert, were interviewed to gain an understanding of their skill set, how it has evolved and how it needs to evolve in order to be futureproofed. With the use of qualitative, quantitative data and the development of a novel engineering skills profiling method, this paper found that 75% of design engineers did not exhibit a T-shaped skill profile, but a skill shape that has been termed ‘M-shaped’ or ‘Comb-shaped’. The majority of participants exhibited a great depth of specialist skills in multiple disciplines, not limited to their immediate field of work. All participants exhibited a wide knowledge of skills that allowed them to work across different disciplines, which included electronics, management or manufacturing, and so the wide vertical bar of the T-Shape design predicted by previous literature has been supported.
TOWARDS REMOTE CONTROL OF MANUFACTURING MACHINES THROUGH ROBOT VISION SENSORS
Authors: Halawi Ghoson Nourhan , Hakam Nisar , Shakeri Zohreh , Meyrueis Vincent , Loubère Stéphane , Benfriha Khaled
Published: June 2023

The remote management of equipment is part of the functionalities granted by the design principles of Industry 4.0. However, some critical operations are managed by operators, machine setup and initialization serve as a significant illustration. Since the initialization is a repetitive task, industrial robots with a smart vision system can undertake these duties, enhancing the autonomy and flexibility of the manufacturing process. The smart vision system is considered essential for the implementation of several characteristics of Industry 4.0. This paper introduces a novel solution for controlling manufacturing machines using an embedded camera on the robot. This implementation requires the development of an interactive interface, designed in accordance with the supervision system known as Manufacturing Execution System. The framework is implemented inside a manufacturing cell, demonstrating a quick response time and an improvement between the cameras.
TOWARDS SUSTAINABLE LIFE CYCLES OF MAKING IN SMALL SCALE FABRICATION SPACES
Authors: Moore George Edward , Agogino Alice M. , Goucher-Lambert Kosa
Published: June 2023

Small scale fabrication spaces have shown their potential to support our local supply chains during the collapse of many global supply chain networks at the onset of the COVID-19 pandemic. In anticipation of these spaces becoming more significant in local supply chains, it is increasingly important to reduce their environmental impacts. This work investigates the life cycle of small scale fabrication spaces by interviewing 18 participants from these spaces in the United States. Key insights from the interviews include the following: a) material selection, robust inventory management, and user support for material disposal are factors influencing optimal flow of materials and equipment through a fabrication space; b) lack of information from manufacturers and suppliers is a critical obstacle to achieve optimal use of materials and equipment, and informed decision making related to environmental sustainability and ethical labor practices; c) there are opportunities to take advantage of where financial and sustainability goals align; d) individual motivators for fabrication influences sustainable behaviors; and e) effective education about material and equipment use helps fabrication space users with more sustainable decision making.