bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methodological Design: Effects of a Morphological Approach for Different Students and Professionals
Authors: Zeiler Wim 
Published: July 2019

AbstractIn connection with a design research project for professional in the Dutch building industry, an educational project was developed, the multidisciplinary master project Integral Design, to prepare our Master students better for their professional life. The concept of an earlier developed integral design workshop for professionals was implemented within the start-up workshop of our masters’ project integral design. The frame work of the approach is described as well as the positive effects on the collaboration between the design team members from different disciplines as result of the morphological approach of the Integral Design method. This method was also applied during workshops in different courses about design methodology As basically the same set-up for the workshop was used this allowed us to compare the results of the different students and analyse them. During the different workshop series the effects on the outcome of the conceptual phase of the design process has been investigated. The results of this analysis are presented in the paper and showed some remarkable similarities as well as some differences among the different student groups.
AI-Based Learning Approach with Consideration of Safety Criteria on Example of a Depalletization Robot
Authors: Jocas Mark , Kurrek Philip , Zoghlami Firas , Gianni Mario , Salehi Vahid 
Published: July 2019

AbstractRobotic systems need to achieve a certain level of process safety during the performance of the task and at the same time ensure compliance with safety criteria for the expected behaviour. To achieve this, the system must be aware of the risks related to the performance of the task in order to be able to take these into account accordingly. Once the safety aspects have been learned from the system, the task performance must no longer influence them. To achieve this, we present a concept for the design of a neural network that combines these characteristics. This enables the learning of safe behaviour and the fixation of it. The subsequent training of the task execution no longer influences safety and achieves targeted results in comparison to a conventional neural network.
Designing Products with a Focus on Self-Explanatory Assembly, a Case Study
Authors: Parmentier Davy Daniël , Detand Jan , Saldien Jelle 
Published: July 2019

AbstractDesigning products with a focus on self-explanatory assembly can reduce the use of procedural instructions and the associated problems. This paper describes how different groups of students, in two different design-engineering courses designed or redesigned products in an attempt to make the assembly of the product self-explanatory. The design outcomes are discussed in relation to the design context and linked to existing theory on design for meaning.
Development of a Quantiative Evaluation Tool to Support the Development Process of Industry 4.0 Production Equipment
Authors: Ünal Esra , Köhler Christian 
Published: July 2019

AbstractOne of the main problems in the implementation of Industry 4.0 is the assessment of the added technical and economic value of the new digital and other technological opportunities. This can already be observed during the elaboration of solution alternatives during the development of new industry 4.0 work systems. In order to support the developers of these systems in their decision-making, this contribution introduces a quantitative evaluation approach based on the combination of an extension of the CPM/PDD approach with an industry 4.0 maturity model and an identification scheme for process losses.
Employee Acceptability of Wearable Mental Workload Monitoring in Industry 4.0: A Pilot Study on Motivational and Contextual Framing
Authors: Van Acker Bram B. , Conradie Peter , Vlerick Peter , Saldien Jelle 
Published: July 2019

AbstractAs Industry 4.0 will greatly challenge employee mental workload (MWL), research on objective wearable MWL-monitoring is in high demand. However, numerous research lines validating such technology might become redundant when employees eventually object to its implementation. In a pilot study, we manipulated two ways in which employees might perceive MWL-monitoring initiatives. We found that framing the technology in terms of serving intrinsic goals (e.g., improving health) together with an autonomy-supportive context (e.g., allowing discussion) yields higher user acceptability when compared to framing in terms of extrinsic goals (e.g., increasing productivity) together with a controlling context (e.g., mandating use). User acceptability still panned out neutral in case of the former, however - feeding into our own and suggested future work.
Agile Development of a Microtiter Plate in an Interdisciplinary Project Team
Authors: Goevert Kristin , Schweigert-Recksiek Sebastian , Tariq Bilal , Krischer Lukas , Lindemann Udo 
Published: July 2019

AbstractThe industry is currently changing rapidly. Both customers and employees are focusing much more on their own needs. On the one hand, this requires individualized products and, on the other hand, development processes need to be aligned not only more efficiently but also more closely to the needs of employees. Agile development combines these two characteristics and the second point can be further improved through analyses for collaboration. This is not only necessary for consumer products, but also in medical technology, more and more individualized solutions are required to better help patients. This is also the case with the examination of cells using micro titer plates, which is the subject of this project. Due to the interaction of research activities both on the process and on the product side, this paper presents research results regarding agile product development and collaboration analysis of physical products on the one hand and research results regarding additive and biocompatible production of microtitration plates on the other hand.
Designing Collaborative Research: The Exploration of Common Purposes to Foster the Generation of Cross-Disciplinary Projects
Authors: Brun Juliette , Salembier Chloé , Loubet Benjamin , Jullien Alexandra 
Published: July 2019

AbstractDespite the increasing demand to develop cross-disciplinary research projects, designing collaborative research still prove to be difficult due to both scientific specialization and organizational issues. In this paper, we explore how innovative design dynamics can be developed between researchers to collectively build research projects that could become common purposes for collaboration. This work relies on a case study led with the newly formed Eco&Phy research team, who applied an innovative design process to initiate collaboration and design its scientific agenda for the next 5 years. This process was built based on both KCP and matching-building methodologies: it included an initialization phase, during which the team strategically chose topics to be explored, and exploration phases, during which researchers collectively developed new knowledge and concepts to build cross-disciplinary projects. At the end of the design process, the team had developed two new research lines that were integrated in its official agenda. In conclusion, the article discusses the relevance of design approaches to develop original collaborative research through dedicated innovation processes.
Perceived Culture of Networked Knowledge Hubs
Authors: Mattila Pauliina , van der Marel Floris , Mikkonen Maria 
Published: July 2019

AbstractWhile the construction of knowledge hubs has gained recent traction, little is known on how networked actors perceive their collective culture. Authors looked at the topic through a single case study, the Design Factory Global Network, a network of 24 autonomous yet connected hubs for passion-based co- creation in an educational setting. Data was collected via questionnaires, asking 1) to describe their Design Factory in three distinct, words, 2) explicate these with exemplary stories, and 3) express future development wishes. 98 stories and future wishes were shared by representatives from 15 Design Factories. Excerpts reflecting cultural levels (attitudes, norms, manifestations) were identified and made sense of by looking at which level of stakeholder relationship (internal, host, network, wider environment) they targeted. 78 attitudes, 114 norms and 95 manifestations were mentioned, mostly targeting the internal community and the host levels. Authors draw some practical implications for each of the identified level or relationship, contributing to the knowledge of the creation and development of such innovation hubs. In addition, further research directions are proposed.
Ranking Absorption Practices of Knowledge for Collaborative Innovation: Which is the Ideal Multi Criteria Decision Method
Authors: Gendreau Elizabeth , Benhayou-Sadafiyine Lamiae , Le Dain Marie-Anne , Summers Joshua 
Published: July 2019

AbstractThis paper focuses on evolving an absorptive capacity (ACAP) assessment tool designed to help firms understand their ACAP maturity in processing external knowledge. ACAP maturity is evaluated based on a firm's capacity and willingness to do relevant ACAP practices. Although an earlier version of the ACAP tool was able to evaluate maturity and highlight immature practice, it could not determine how critical these practices were for improvement action. Thus, a means of eliciting the importance of practices and aggregating it with their ACAP maturity evaluations is needed. This paper provides summaries of the subjective weight elicitation methods and aggregation techniques which were identified from the domain of multi-criteria decision making. Criteria for comparing these methods are defined and analyzed to determine the most appropriate methods for the current application. The SRF method for subjective weight elicitation, aggregated with the maturity evaluations through weight sum models, is deemed the most appropriate for the current application. During testing with users, the SRF procedure was found to suffer from various usability concerns which will be investigated in future work.
An Affordance-Based Online Review Analysis Framework
Authors: Hou Tianjun , Yannou Bernard , Leroy Yann , Poirson Emilie 
Published: July 2019

AbstractOne of the main tasks of today's data-driven design is to learn customers' concerns from the feedback data posted on the internet, to drive smarter and more profitable decisions during product development. Feature-based opinion mining was first performed by the computer and design scientists to analyse online product reviews. In order to provide more sophisticated customer feedback analyses and to understand in a deeper way customer concerns about products, the authors propose an affordance-based online review analysis framework. This framework allows understanding how and in what condition customers use their products, how user preferences change over years and how customers use the product innovatively. An empirical case study using the proposed approach is conducted with the online reviews of Kindle e-readers downloaded from amazon.com. A set of innovation leads and redesign paths are provided for the design of next-generation e-reader. This study suggests that bridging data analytics with classical models and methods in design engineering can bring success for data-driven design.
Cascading Forgetting in Product Development Challenges and Evaluation
Authors: Kügler Patricia , Schon Claudia , Schleich Benjamin , Staab Steffen , Wartzack Sandro 
Published: July 2019

AbstractVast amounts of information and knowledge is produced and stored within product design projects. Especially for reuse and adaptation there exists no suitable method for product designers to handle this information overload. Due to this, the selection of relevant information in a specific development situation is time-consuming and inefficient. To tackle this issue, the novel approach Intentional Forgetting (IF) is applied for product design, which aims to support reuse and adaptation by reducing the vast amount of information to the relevant. Within this contribution an IF-operator called Cascading Forgetting is introduced and evaluated, which was implemented for forgetting related information elements in ontology knowledge bases. For the evaluation the development process of a test-rig for studying friction and wear behaviour of the cam/tappet contact in combustion engines is analysed. Due to the interdisciplinary task of the evaluation and the characteristics of semantic model, challenges are discussed. In conclusion, the focus of the evaluation is to consider how reliable the Cascading Forgetting works and how intuitive ontology-based representations appear to engineers.
How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers
Authors: Bickel Sebastian , Spruegel Tobias C. , Schleich Benjamin , Wartzack Sandro 
Published: July 2019

AbstractCurrent trends in product development are digital engineering, the increasing use of assistance tools based on artificial intelligence and in general shorter product lifecycles. These trends and new tools strongly rely on available data and will irreversibly change established product development processes. One example for such a new data driven tool is the plausibility check of linear finite element simulations with Convolutional Neural Networks (CNN). This tool is capable of determining whether new simulation results are plausible or non-plausible according to numeric input data. The digitalization and the increased use of data driven tools employing algorithms known from Artificial Intelligence also shifts the roles of many involved engineers. This paper describes and highlights this transition from current product development processes to a data driven / simulation driven product development process. Particularly, the shifts and changes of different roles and domains are illustrated and an example for changing roles in the design and simulation department is described. Furthermore, required adjustments in the design process are derived and compared to the current status.
Towards Creativity Stimulating Design Intervention for Multidisciplinary Innovation Teams
Authors: Välk Sander , Mougenot Céline 
Published: July 2019

AbstractThe aim of our research is to stimulate cross disciplinary design collaboration to improve innovation processes in product and service design domain. We focus on the intersection of biotechnology and design as this field poses great challenges and opportunities for innovation, and it has received little attention in light of technological advancements of digital goods over the past decades. Experimental studies in the area expose challenging interactions, rising from lack of common vocabulary and preconceptions. Organisational management studies suggest that creativity is a prerequisite for innovation in group processes. As such, we are interested in enhancing collective creativity. Numerous studies investigate external creativity triggers, however only on individual level. Our review suggests that external triggers can be effective when the task is problem solving or styling, but ambiguous goals like innovation require stimulation of intrinsic triggers, such as group incidental learning and tacit knowledge. To explain this, we propose a hypothetical innovation approach, that draws attention to cognitive stimulation methods leading to creativity in multidisciplinary teams.
Towards an Ontology of Cognitive Assistants
Authors: Maier Torsten , Menold Jessica , McComb Christopher 
Published: July 2019

AbstractCognitive assistants such as IBM Watson and Siri are at the forefront of social and technological innovation and have the potential to solve many unique problems. However, the lack of standardization and classification within the field impedes critical analysis of existing cognitive assistants and may further inhibit their growth into more useful applications. This paper discusses the development of an ontology, its classes, and subclasses that may serve as a foundation for defining and differentiating CAs. Specifically, the four suggested classes include: learning, intelligence, autonomy, and communication. Various assistants are described and categorized using the proposed system. Our novel ontological framework is the first step towards a classification system for this burgeoning field.
A Straightforward Approach to the Derivation of Topologies
Authors: Garrelts Enno , Roth Daniel , Binz Hansgeorg 
Published: July 2019

AbstractThe design of topologically optimized structures is straightforward, although the main problem is really to derive the correct structure in each instance. During the development of structures for additive manufacturing in particular, saving weight is crucial because weight is proportional to cost.In this contribution firstly, different approaches to topological optimization are presented and discussed. While computer-assisted tools provide high accuracy and demand defined conditions, approaches utilizing a pen and paper can be conducted relatively quickly, although these only provide little guidance.Secondly, a new approach is presented which is advantageous with regard to effort and affordability, yet which maintains an accuracy of results. To support the designer, an artificial neural network is trained to adapt suitable Michell structures within a given design area. These structures depict optimal paths to conduct the loads through a component and provide guidance in designing an appropriate topology.Evaluation has demonstrated that this new approach is capable of supporting designers in achieving lightweight structures.
Derivation of Criteria for Identifying Lightweight Potential – A Literature Review
Authors: Laufer Felix , Roth Daniel , Binz Hansgeorg 
Published: July 2019

AbstractLightweight potential is a powerful indicator – but not as powerful as it could be. Current methods for analyzing a product's potential to be reduced in mass only deal with a few of the most important criteria for lightweight design. The amount of literature dealing with lightweight design is significant, yet it can help to understand these versatile criteria. Firstly, the literature on this topic will therefore be reviewed to derive a broad set of criteria used in contemporary lightweight design. Secondly, a further review will reveal the criteria used to derive lightweight potential. Subsequently, both sets will be compared to identify the missing criteria used for the derivation of lightweight potential. This will support designers in two ways. On the one hand, matching and combining both criteria sets will enable the most representative criteria for a particular design case to be chosen, thus leading to a more comprehensible derivation of lightweight potential. On the other hand, the combination set will provide a basis for designers and design teams to refine their understanding of their own motivations for conducting lightweight design.
A Systematic Brainstorming Ideation Method for Novice Designers based on SECI Theory
Authors: Kim Taegyun , McKay Alison , Thomas Briony 
Published: July 2019

AbstractDesign 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.
Assessing and Improving the Coverage of a Strategic Research Agenda: A Design Theory Approach
Authors: Rémondeau Estelle , Cogez Patrick , Le Masson Pascal , Weil Benoît 
Published: July 2019

AbstractStrategic Research Agendas (SRA) bring to the research community a prospective and collective vision of a sector and are intended to provide directions for future research efforts. However, some promising innovative areas are not always foreseen in those documents, which raises the question of the relevance and adequacy of their coverage. While engineering design is often considered to translate SRA guidelines into product development, we believe it can also be of great help regarding the design of an SRA. In this paper, we will first address how to assess the scope of an SRA through a framework based on C-K theory, before exploring how to extend it, if need be. To answer those questions, we will examine a high-quality roadmap: the Electronic Components and Systems Strategic Research Agenda (ECS SRA). Our resulting method will provide us the means to assess SRA coverage and to ensure that interesting research areas are not forgotten unintentionally, in order to allow to a further enrichment of the document if needed.
Potentials for the Integration of Design Thinking along Automotive Systems Engineering Focusing Security and Safety
Authors: Tekaat Julian , Kharatyan Aschot , Anacker Harald , Dumitrescu Roman 
Published: July 2019

AbstractThe increasingly intelligent, highly complex, technical systems of tomorrow - for instance autonomous vehicles - result in the necessity for a systematic security- and safety-oriented development process that starts in the early phases of system design. Automotive Systems Engineering (ASE) as one approach is increasingly gaining ground in the automotive industry. However, this approach is still in a prototype stage. The consideration of security and safety within the early stages of systems design leads to so- called ill-defined problems. Such are not covered by ASE, but can be addressed by means of Design Thinking. Therefore we introduce an approach to combine both approaches. Based on this combination, we derive potentials in the context of the consideration of security and safety. Essential advantages are the possibility to think ahead of threat scenarios at an early stage in system design. Due to an incomplete database, this is not supported or only partially supported by conventional approaches. The resulting potentials are derived based upon a practical example.
A New Method to Assess Platform Changes Over Successive Generations of Product Variants from Multiple Design Perspectives
Authors: Wong Foo Shing , Wynn David C. 
Published: July 2019

AbstractThis paper introduces a new method to help designers assess the impact of changes to a product platform when introducing a new variant. The method evaluates a platform design by investigating how changing some components will impact other platform design perspectives such as material, function, manufacturing processes and assembly time. To assess the usefulness of this method, it was applied to assess platform changes resulting from successive generations of scanner heads from two manufacturers. The method indicated that one manufacturer improved their scanner head design by improving the functionality of its components and assembly time. Whereas, the other manufacturer's new scanner head used more material and manufacturing processes without benefiting other design perspectives. Compared to existing product family evaluation methods which focus only on maximising commonality between product variants, the proposed method considers potential platform design improvements and assesses them from multiple design perspectives before deciding on reusing existing components or implementing the new design. The information from this method will also complement existing commonality indices.