bluuebunny/crossref_metadata_2025 huggingface dataset:
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

Robotic 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

Designing 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

One 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

As 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

The 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

Despite 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

While 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

This 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

One 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

Vast 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

Current 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

The 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

Cognitive 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

The 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

Lightweight 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

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.
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

Strategic 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

The 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

This 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.
Empirical Study of Good, Bad and Ugly Modular Engineering Solutions in Machinery Manufacturing Industry
Authors: Juuti Tero , Pakkanen Jarkko , Lehtonen Timo
Published: July 2019

This study examines the relationship between the product structuring principles chosen in modular product families and the business results of companies. In the three case studies of the article, it can be seen that products that meet the modularity definitions discussed in the literature have been able to utilise the benefits of modularity in a very varied way. In one business case, the effect of modularity on business has been negative. In two other cases, the effect has been positive - in one of these even the profitability of the business has significantly improved. The aim of this article is to identify whether product designing consistently has been following some product structuring principles previously mentioned in modularisation literature or whether case studies bring new principles to consciousness. In all case studies, the product structuring principles used are also discussed in the previous modularisation studies at a varying extent. In the discussion section, we raise the question of whether the recording and use of product structuring principles in design briefs could lead to making the product design decisions that affect the business positively.
A CHAT Approach to Understand Framing in Digital Service Innovation
Authors: Sturkenboom Nick , Baha Ehsan , Price Rebecca , Kleinsmann Maaike , Snelders Dirk
Published: July 2019

Within the third wave of digital service innovation, framing is becoming increasingly complex. Accordingly, design practice finds itself in a transition from designing single service solutions that are shared, to designing systemic solutions that are shareable. We report a case study in which we use Cultural Historical Activity Theory (CHAT) to analyze the framing process that a designer went through when designing a digital service for a Connected Care startup. Results show the importance of the designer's activity awareness and the challenge of dealing with relational complexity when framing the digital service innovation. With this work, we hope to inspire researchers and practitioners with the potential that CHAT has to offer for the reflective practice in digital service innovations.
How are End-of-Life Strategies Adopted in Product-Service Systems? A Systematic Review of General Cases and Cases of Medical Devices Industry
Authors: Damha Leticcia Giovana , Trevisan Adriana Hofmann , Costa Daniel Guzzo , Costa Janaina Mascarenhas Hornos
Published: July 2019

Little study has been done on the adoption of End-of-Life (EoL) strategies on the medical devices industry, despite the reasons why it is an important area of study for the implementation of circularity. The rates of waste in the medical field are alarming and tend to grow. Though presenting a wide potential for EoL strategies implementation, the medical field is also inherently challenging, considering the rigid regulations and product's risk to patients life. This paper analyses 17 Product-Service System case studies identified in the literature. Eleven of them are from various fields of industry, whereas the other six are applied to the medical devices industry. The adoption of EoL strategies - namely repair, reconditioning, remanufacture and recycling - is analysed in each case and compared for the two categories of cases. This adoption is related to the sources of value creation in Circular Economy, to the PSS typology and, at last, special EoL treatment for medical devices is discussed.
Meaningful Experience in Service Design for the Elderly: SAPAD Framework and its Case Study
Authors: Hu Fei , Li Jun , Wang Wei , Sato Keiichi
Published: July 2019

A growing trend of aging population of China has brought tremendous pressure on the domestic care system, and community education is one of the important content for elderly services. Based on the framework of SAPAD, the community English class in Guangzhou City is taken for case study. Depth research on three stakeholeders-the elderly, social workers and volunteers are carried out by interview, user observation and field research. 6 levels (physical level, syntactic level, empirical level, semantic level, pragmatic level and social level) are extracted based on SAPAD framework, and the behavior- object-significance mapping is completed. Significant clusters of multiple users at different levels are analyzed, and 16 core significant clusters are jointly built. By linking with clustering results of the syntactic level, 6 new function modules are obtained. Finally, the community elderly education service system is built through personas, service blueprint, touch points and storyboard. The new service system will improve learning efficiency, satisfactions and emotional appeals for the elderly, and work efficiency of social workers and volunteers.
Testing the Robustness of Circularity Indicators: Empirical Insights from Workshops on an Industrial Product
Authors: Saidani Michael , Cluzel François , Leroy Yann , Yannou Bernard
Published: July 2019

Monitoring properly the circularity performance of technical products is a point of increasing importance. Yet, evaluating the circularity potential of products during (re)design and development phases is a challenging task. In this study, several C-indicators are experienced by doctoral students and industrialists through two workshops on a real-world industrial product. The values obtained for each indicator are collected and analyzed: as all participant are working on the same technical product with the same dataset, the circularity scores calculated are compared to discuss the reliability and the uncertainty related to these indicators. These new empirical insights are put in parallel with the existing critical analyses of C-indicators from literature. As a result, future research directions on circularity indicators are advanced and discussed, including: the integration of uncertainty considerations into the assessment methodology of circularity indicators; the uptake by industry of such indicators during product design and development; the link between circularity and sustainability scores.
Towards Responsible Design with Internet of Things Data
Authors: Bourgeois Jacky , Kortuem Gerd
Published: July 2019

Recent advances in sensing and networking technologies, namely the Internet of Things (IoT), have become key enablers of data-intensive design processes. However, the recent introduction of the General Data Protection Regulation (GDPR) in Europe has raised concerns that the GDPR might hamper data- intensive design processes. In this paper, we map the challenges of enabling ethical and compliant design of product-service systems with personal IoT data. Specifically, we present a 4-year project led by EON, an international energy provider, to design innovative home energy systems that leverage emerging technologies such as solar panels, electric vehicles and home batteries. We present our 6-stage approach to design, centred on IoT data. We highlight the barriers of responsible design with data and identify three novel trust principles for compliant use of personal IoT data in design (private-by-default, analytics transparency and Accountable analytics).
A Methodology for the Application of Virtual Evaluation Methods within the Design Process of Cold Forged Steel Pinions
Authors: Rohrmoser Andreas , Heling Björn , Schleich Benjamin , Kiener Christoph , Hagenah Hinnerk , Wartzack Sandro , Merklein Marion
Published: July 2019

Gears are essential machine elements in the drivetrain and transmission technology. The operational behaviour of a gear pairing is influenced by the design of the gear kinematics as well as the component properties. With regard to an improvement of performance and service life, the targeted modification of tooth geometry and component properties offers a promising approach. Thus, the achievable geometric and mechanical component properties are influenced by the manufacturing process, which must be taken into account in the design process. The application of virtual evaluation methods is suitable for this purpose. For the manufacturing of steel gears, cold forging provides the potential of achieving beneficial mechanical properties in a highly productive process. Major challenges for the industrial application are the short service life of the cost- intensive tools and the low geometric accuracy in comparison to machining processes. Within this study the design of the tooth geometry as well as the associated forming tool are investigated. The aim is to derive recommendations regarding an optimization of the resulting component properties and operational behaviour.
An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical Systems
Authors: Byrne Thomas J , Doikin Aleksandr , Campean Felician , Neagu Daniel
Published: July 2019

Advancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technologies developed around the communication core (IoT) enable novel interactions with data. Our framework employs previously untapped data from vehicles in the field for intelligent vehicle health management and knowledge integration into design. Firstly, the concept of an inter-disciplinary artefact is introduced to support the dynamic alignment of disparate functions, so that cyber variables change when physical variables change. Secondly, the axiomatic categorisation (AC) framework simulates functional transformations from artefact to artefact, to monitor and control automotive systems rather than components. Herein, an artefact is defined as a triad of the physical and engineered component, the information processing entity, and communication devices at their interface. Variable changes are modelled using AC, in conjunction with the artefacts, to aggregate functional transformations within the conceptual boundary of a physical system of systems.
From Hand-Drawn Sketching to Laser Cutting - A Proof of Concept Prototype and Pilot Study
Authors: Kohtala Sampsa , Steinert Martin
Published: July 2019

Sketching ideas and building physical prototypes are common in early stage product development. They are used for learning, testing ideas, proving concepts and sharing knowledge. Laser cutting is a popular tool for making physical prototypes due to its accuracy, robustness and speed. Computer aided design and vector graphics software are the main tools used for designing parts for laser cutting. Several sketch- based interfaces have been developed to support the process, using tools such as stylus pens with intuitive sketch-like commands.

A proof-of-concept prototype for capturing a hand drawn sketch and converting it to a laser cuttable file has been developed. In this pilot study we attempt to discover when drawing design by hand on paper can be better or more efficient than conventional methods, for developing physical prototypes with laser cutting in the context of early stage product development. This includes testing the accuracy of the tool, a pilot experiment comparing drawing speed and accuracy, example use cases utilizing pencil and paper, and a simple design challenge experiment.
Hybrid Additive Manufacturing - Requirements Engineering Framework for Process Chain Considerations
Authors: Schneberger Jan-Henrik , Häfele Tobias , Kaspar Jerome , Vielhaber Michael
Published: July 2019

Additive Manufacturing (AM) provides significant opportunities for design and functional integration of parts and assemblies. Compared to conventional processes, the AM principle increases design freedom notably. Additionally, numerous processible materials and hybrid processes enable the implementation in different industries, spanning from aerospace over automobile until medical applications.

However, there are still handicaps to be addressed, arising from the large diversity of AM principles, post-processing and quality assurance issues, partly insufficient user knowledge, and organizational aspects. Coherently, lacking requirements specification hinders a successful consideration of AM in the early stages of development, and its later implementation.

To promote knowledge build-up, this contribution presents a requirements specification framework, which supports developers in determining demands throughout the development process, including those resulting from post-processing and testing operations. By incorporating thorough analyses of general organizational and resort overarching limitations, this contribution promotes a successful implementation of suitable AM strategies.
Munich Agile MBSE Concept (MAGIC)
Authors: Salehi Vahid , Wang Shirui
Published: July 2019

Model-based systems engineering (MBSE) is well-known in gaining the control over the complexity of systems and the development processes, while agile is a project management methodology originally from software development that uses short development cycles to focus on continuous improvement in the development of a product or service. In this paper, we adopt the concept of agile into MBSE and then proposed the new approach - Munich Agile MBSE Concept (MAGIC). The highlights of the MAGIC approach can be concluded as 1) the requirements which have been defined in the first stage will be examined and traced at each following stages; 2) communication between every 2 stages always exists in order to have a close connection during each system development phase; 3) the idea of Industry 4.0 has been included and reflected to achieve automation and data exchange with manufacturing technologies; 4) the concept of IOT (Internet of Things) is also considered when it comes to the usage and service of the system to satisfy the customer's needs; 5) the whole spirit of agile is reflected as the iterative and incremental design and development
How Does Biologically Inspired Design Cope with Multi-Functionality?
Authors: Svendsen Nicklas , Lenau Torben Anker
Published: July 2019

As catalysts for product innovation and product development, different approaches for biologically inspired design (BID) are exciting options. However, while general BID theory require a focus on single functions, real world products are characterized by performing multiple functions. The development of an anterior eye-chamber model is used to showcase the issue.

In a systematic literature review (SLR), state-of-the-art methodologies, methods and tools BID practice are discovered and the current state of multi-functionality in BID are assessed.

The SLR revealed 18 contributions with 8 BID methodologies and 12 stage-specific BID tools (of which 50% addressed the solution search phase) in addition to 5 papers addressing multi-functionality in BID. At present multi-functionality in BID is only treated in a limited set of papers. While designers interested in BID are advised to discover multi-functional analogies, the present approach to handling multi-functional problems in BID suggest functional decomposition and multiple BID efforts. Therefore, the development of design support for handling multi-functional problems, including tools for problem analysis are needed.
Understanding the Initial Requirements Definition in Early Design Phases
Authors: Song Young-Woo , Herzog Michael , Bender Beate
Published: July 2019

The definition of initial requirements in the early phase of product development is characterised as a decision process under highest uncertainties. Studies show that projects often deviate from their planned goals or even fail due to ill-defined requirements. Despite the importance and criticality of this task, a detailed description and risk-oriented explanation is missing in the product development literature. The goal of this paper is to develop an explanation model/frame which establishes a link between the development context and an appropriate procedure for the initial requirements definition based on general risk treatment strategies. In a first step, risk-driving context factors with high influence on this task are identified. Then two case studies are compared to analyse the interrelations between their context factors and the applied risk treatment strategies that are implemented in their procedures for defining initial requirements.
Usage Identification of Anomaly Detection in an Industrial Context
Authors: Zoghlami Firas , Kurrek Philip , Jocas Mark , Masala Giovanni , Salehi Vahid
Published: July 2019

The use of flexible and autonomous robotics systems is the solution for the automation task of the production and intra-logistics environments. This dynamic context requires the robot to be aware of its surroundings through the whole task, also after accomplishing the gripping action. We present an anomaly detection approach based on unsupervised learning and reconstruction fidelity of image data. We design our method to enhance the dynamic environment perception of robotics systems and apply it in a palletizing robot, in order to perceive and detect changes to its surrounding and process after the gripping step. Our proposed approach achieves the performance targeted by the considered industrial requirements.
A Methodology for Multisensory Product Experience Design Using Cross-modal Effect: A Case of SLR Camera
Authors: Maki Takuma , Yanagisawa Hideyoshi
Published: July 2019

Throughout the course of product experience, a user employs multiple senses, including vision, hearing, and touch. Previous cross-modal studies have shown that multiple senses interact with each other and change perceptions. In this paper, we propose a methodology for designing multisensory product experiences by applying cross-modal effect to simultaneous stimuli. In this methodology, we first obtain a model of the comprehensive cognitive structure of user's multisensory experience by applying Kansei modeling methodology and extract opportunities of cross-modal effect from the structure. Second, we conduct experiments on these cross-modal effects and formulate them by obtaining a regression curve through analysis. Finally, we find solutions to improve the product sensory experience from the regression model of the target cross-modal effects. We demonstrated the validity of the methodology with SLR cameras as a case study, which is a typical product with multisensory perceptions.
An Innovative Framework for Managing the Customization of Tailor-made Shoes
Authors: Marconi Marco , Papetti Alessandra , Scafà Martina , Rossi Marta , Germani Michele
Published: July 2019

Product customization aims to consider individual customers preferences in the design of new products, in order to directly involve them in the product development process and to maximize their satisfaction. It can be considered a key competitive factor and a “hot topic” in several industrial sectors, including luxury apparel goods and high-end footwear products. However, currently the design and manufacturing of customized shoes are carried out through artisanal and non-standardized processes, based on the individual expertise of operators.

The objective of this study is to define an innovative framework to support the different processes affected by customization. This framework is enabled by different digital technologies, as CAD-based tools, virtual/augmented reality systems, etc., opportunely integrated in the product development process. The main benefits related to the framework implementation in real industrial contexts are an increase of flexibility, the repeatability of processes, a higher efficiency in information exchange, a more effective involvement of final customers, and, as a consequence, the reduction of time to market and production costs for tailor-made shoes.
Comparing Utility-based and Network-based Approaches in Modeling Customer Preferences for Engineering Design
Authors: Sha Zhenghui , Bi Youyi , Wang Mingxian , Stathopoulos Amanda , Contractor Noshir , Fu Yan , Chen Wei
Published: July 2019

Customer preference modeling provides quantitative assessment of the effects of engineering design attributes on customers’ choices. Utility-based approaches, such as discrete choice model (DCM), and network analysis approaches, such as exponential random graph model (ERGM), have been developed for customer preference modeling. However, no studies have compared these two approaches. Our objective is to identify the distinctions and connections between these two approaches based on both the theoretical foundation and the empirical evidence. Using the vehicle preference modeling as an example, our study shows that when network structure effects are not considered, results from ERGM are consistent with DCM in most of the test cases. However, in one case where customers have varying choice set with multiple alternatives, inconsistencies are observed, possibly due to the discrepancies of the two models in taking different information when calculating choice probabilities. The insights will lead to valuable guidance for choosing the technique for customer preference modeling and co- developing the two frameworks to support engineering design.
From the Car Style Pregnancy towards the Brand Country Origin Recognition
Authors: Bluntzer Jean-Bernard , Ostrosi Egon
Published: July 2019

In the modern automotive industry, a car's style clearly defines its brand. In the context of globalization, a question has recently emerged concerning the relationship between a country's culture and the car style of a particular brand. The style is one way to place car morphologies into a meaningful structure, called the “telling structure.” This research hypothesizes that a stylist tries to compress a car's form and make it a refined unicum that is streamlined with some inherent features, which express a brand's cultural aesthetics. Using the cognitive paradigm that an end user transforms explicit references into implic-it references and that the telling structure of a car's design features influences the recognition of the brand, this research demonstrates a novel method to ad-dress this hypothesis. Results from this study show that there is a relationship between the brand's country of origin and the perceived recognition of a car. However, a country's brand culture is not always represented by the style of the cars. In particular, the results indicate that some cars can actually lose their cultural identity, especially in the context of a worldwide market.
The Novelty Perspectives Framework: A New Conceptualisation of Novelty for Cognitive Design Studies
Authors: Hay Laura , Duffy Alex , Grealy Madeleine
Published: July 2019

Novelty can be evaluated from the perspective of the designer who creates a concept (personal novelty), and people who perceive it post-creation (socio-novelty). In each case, the extent to which the concept is new compared to known artefacts is judged. The designer's evaluation is based on the same knowledge from which the concept was produced. Thus, if the concept is novel to the designer, creative cognitive processing must have occurred, i.e. something new was created in the mind. Evaluations made by other people are based on their own knowledge, which may differ from the designer's. Thus, concepts they view as novel are not necessarily the output of creative cognition. In this paper, we posit that personal novelty is directly related to designer cognition, whilst socio-novelty is not. However, existing metrics focus on the latter, and may be misleading in cognitive studies. To stimulate discussion, we formalise personal and socio-novelty in the Novelty Perspectives Framework. Empirical data suggests that the perspectives may be distinguished in practice. Future implications of the NPF are explored, highlighting the potential for insights at both the cognitive and neural level.
Visual Sensemaking of Massive Crowdsourced Data for Design Ideation
Authors: He Yuejun , Camburn Bradley , Luo Jianxi , Yang Maria C. , Wood Kristin L.
Published: July 2019

Textual idea data from online crowdsourcing contains rich information of the concepts that underlie the original ideas and can be recombined to generate new ideas. But representing such information in a way that can stimulate new ideas is not a trivial task, because crowdsourced data are often vast and in unstructured natural languages. This paper introduces a method that uses natural language processing to summarize a massive number of idea descriptions and represents the underlying concept space as word clouds with a core-periphery structure to inspire recombinations of such concepts into new ideas. We report the use of this method in a real public-sector-sponsored project to explore ideas for future transportation system design. Word clouds that represent the concept space underlying original crowdsourced ideas are used as ideation aids and stimulate many new ideas with varied novelty, usefulness and feasibility. The new ideas suggest that the proposed method helps expand the idea space. Our analysis of these ideas and a survey with the designers who generated them shed light on how people perceive and use the word clouds as ideation aids and suggest future research directions.