bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Concept of Purposeful Prototyping: Towards a New Kind of Taxonomic Classification
Authors: Petrakis Konstantinos , Hird Abigail , Wodehouse Andrew 
Published: July 2019

AbstractA prototype can be generally defined as a preliminary version of a final product and it can represent both aesthetic and functional features. Prototyping, the process of building a prototype, constitutes an indispensable part of product development processes. Many classifications of prototypes which use a different range of criteria have already been developed and are known as Prototype Taxonomies. This paper proposes an agenda towards the development of a new taxonomic classification which will be based on a prototype's attributes and its intended purpose. This work is justified from the results of an analysis of 8 existing prototype taxonomies which indicate that there is not a taxonomy that explicitly uses the prototypes’ purposes as its basic taxonomic dimension. A definition of the term ‘Prototype Purpose’ is proposed through discussing the differences and relations to the term ‘Prototype Role’. This work results in a list of 23 explicit prototype purposes which arise from 7 roles of prototyping found in relevant literature: Learning, Communication, Demonstration, Integration, Refinement, Exploration and Requirement Elicitation.
The State of Prototyping Practice in the Industrial Setting: Potential, Challenges and Implications
Authors: Diefenbach Sarah , Christoforakos Lara , Maisch Bettina , Kohler Kirstin 
Published: July 2019

AbstractPrototyping as a central method within innovation- and product development processes has a high acceptance in industry. Various prototyping tools provide impressive visualizations of product ideas in early development stages and especially low fidelity prototyping methods seem easily applicable. However, a closer look at prototyping in practice reveals a number of misunderstandings and barriers regarding effective prototyping, often related to different stakeholders’ (e.g., developer, designer, client) ideas about the purpose of prototyping. Based on a combination of literature analysis, adapting existing models and methods in user centered design (e.g., personas, double diamond design process) and empirical results from industrial research cooperation, we introduce a focus group format and a first model of prototyping maturity, which can help organizations to reflect on their state of practice in prototyping on an individual, team, and organizational level. The maturity model also forms a valuable theoretical lens for design research. Thus, our research aims at researchers in the field of prototyping as well as practitioners involved in prototyping and innovation processes.
Toward Automated Functional Modeling: An Association Rules Approach for Mining the Relationship between Product Components and Function
Authors: Tensa Melissa , Edmonds Katherine , Ferrero Vincenzo , Mikes Alex , Soria Zurita Nicolas , Stone Rob , DuPont Bryony 
Published: July 2019

AbstractThe objective of this research is to support DfX considerations in the early phases of design. In order to do conduct DfX, designers need access to pertinent downstream knowledge that is keyed to early stage design activities and problem knowledge. Product functionality is one such “key” connection between early understanding of the design problem and component choices which dictate product performance and impact, and repositories of design knowledge are one way to archive such design knowledge. However, curation of design knowledge is often a time-consuming activity requiring expertise in product modeling. In this paper, we explore a method to automate the populating of design repositories to support the overall goal of having up-to-date repositories of product design knowledge. To do this, we mine information from an existing repository to better understand the relationships between the components, functions, and flows of products. The resulting knowledge can be applied to automate functional decompositions once a product's components have been entered and thus reliably provide that “key” between early design activities and the later, component dependent characteristics.
Using Hidden Markov Models to Uncover Underlying States in Neuroimaging Data for a Design Ideation Task
Authors: Goucher-Lambert Kosa , McComb Christopher 
Published: July 2019

AbstractRecently, design researchers have begun to use neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) to understand a variety of cognitive processes relevant to design. However, common neuroimaging analysis techniques require significant assumptions relating temporal and spatial information during model formulation. In this work, we apply hidden Markov Models (HMM) in order to uncover patterns of brain activation in a design-relevant fMRI dataset. The underlying fMRI data comes from a prior research study in which participants generated solutions for twelve open-ended design problems from the literature. HMMs are generative models that are able to automatically infer the internal state characteristics of a process by observing state emissions. In this work, we demonstrate that distinct states can be extracted from the design ideation fMRI dataset, and that designers are likely to transition between a few key states. Additionally, the likelihood of occupancy within these states is different for high and low performing designers. This work opens up the door for future research to investigate the patterns of neural activation within the discovered states.
A Framework for Designing Work Systems in Industry 4.0
Authors: Kadir Bzhwen A , Broberg Ole , da Conceição Carolina Souza , Jensen Nik Grewy 
Published: July 2019

AbstractThe introduction of new digital technologies in industrial work systems and increasing implementation of Cyber Physical Systems are evoking new and unknown challenges and opportunities related to aspects of human work and organisation. To ensure human wellbeing and overall system productivity, there is a need for interdisciplinary methods and approaches for dealing with the challenges and taking advantage of the opportunities. In this paper, we present a conceptual framework for designing Industry 4.0 enabled work systems, which serves to accommodate this need. The framework combines elements and principles of Design- and Lean thinking methodologies and Human Factors and Ergonomics, thus making it a practical, systematic, and iterative, human centred approach. We use examples from a retrospective industrial case study to illustrate elements of the framework and provide several implications for practitioners.
Aspects of Body Metrics Data Management in the Long Term for the European Fitness Industry
Authors: Guérineau Benjamin-Julia , Samir Kousay , Richrath Marvin , Paetzold Kristin , Montero Joaquin 
Published: July 2019

AbstractThe dawn of the fourth industrial revolution, mostly known through the German initiative “Industrie 4.0”, builds on a set of technologies emerging from software and information and communication technologies (ICT); paired with the growth of the Internet-of-Things (IoT), the so-called “smart products” are expanding on the market. These smart products integrate data collection and processing capacities. Additionally, the collected data have their own lifecycle, and can be classified as sensitive data. In that sense, companies developing hardware products may need support to step in “smart products” development. Digital transformation strategy is a possible overall support for companies. However, regarding smart product development and IoT data management, no studies to date have addressed formalized guidelines to support companies. This article proposes a set of guidelines focusing on IoT data management to support hardware companies in their transformation towards smart products. The proposed guidelines are exemplified on a fitness industry case which is using wearable devices collecting body metrics, considered as sensitive data.
The Direction of Industry: A Literature Review on Industry 4.0
Authors: Wichmann Robert Lawrence , Eisenbart Boris , Gericke Kilian 
Published: July 2019

AbstractWith the rapid success of the digital enterprises in the 21st Century, industrial manufacturing is expected to be approaching the fourth industrial revolution, coined Industry 4.0 (I4.0). The instrumental technology that will drive this evolution is the integration of the physical and digital factory into one cyber physical system. There is consensus among academics and industry alike that there will be an integral paradigm shift in how offerings will be developed and manufactured. While there is much confidence that the future factory will have unprecedented capabilities to satisfy complex customer demands, there is little agreement on how individual organisations can utilise these trends. This paper presents a literature review identifying reoccurring themes and trends of I4.0 and their expected effect on future manufacturing. Central characteristics, challenges and opportunities are identified and discussed. The findings can provide support in developing actionable strategies for industry to direct I4.0 endeavours.
Agile Product Development: Features Identification and Application in the Electricity Sector
Authors: Ribeiro Artur Tavares Vilas Boas , Leal Lorenna Fernandes , do Amaral Guilherme Soares Gurgel , Kahn Ricardo , Pacci Evaristo Bruno Guilherme , Romão Victor , Ricardo G Altmann , Marcos R Avó , Salerno Mario Sergio , Plonski Guilherme Ary , Zancul Eduardo 
Published: July 2019

AbstractThe electricity sector is in the midst of a structural change driven by new technologies. In Brazil, the electricity sector regulation has mechanisms to foster innovation, including investments in R&D. Recently, the regulatory agency and the industry have been calling for approaches to increase the rate at which R&D departments generate solutions that end up being adopted. As a result, novel approaches to R&D project management have entered the agenda. In this context, the objective of this paper is to characterise Agile Product Development and its application in a highly regulated sector. The paper presents a systematic literature review with the debates about Agile and new product development. Then, a case study exploring an early adoption of the Agile approach in R&D project management in the Brazilian electricity sector is presented. Results include the identification of the Agile features most frequently mentioned in the literature. Moreover, the case study explores the Agile features that were more easily absorbed in early adoption, such as iterative patterns, and discusses implementation challenges in team structure, feedback loops, and communication.
Challenges with Supplier Involvement in Product Development: A Supplier’s Perspective
Authors: Flankegård Filip , Johansson Glenn , Granlund Anna 
Published: July 2019

AbstractStudies of supplier involvement in product development have revealed potential benefits including faster time to market, reduced cost and increased quality. However, existing literature has mainly focused on the customer's perspective on advantages, disadvantages and factors to be considered when involving suppliers in product development. This paper addresses the supplier's perspective by answering following research question: How do challenges that originate from involvement in customer's product development affect a supplier? The question is answered through a single case study at a supplier that develops and manufacture products primary used in capital goods. Thirteen challenges are identified, classified as being internal or external, and categorised into five areas: (A) Customer requirements, (B) Information exchange between customer and supplier, (C) Product variety management, (D) Design- manufacturing integration and (E) Processes and work instructions. The findings suggest that internal challenges need as much attention as external ones that originate from the customer. Also, an indication of when the challenges affect the supplier during product development is presented.
Current Challenges of Agile Hardware Development: What are Still the Pain Points Nowadays?
Authors: Atzberger Alexander , Paetzold Kristin 
Published: July 2019

AbstractOriginally developed for the software industry, agile development is being applied in the hardware field nowadays as well due to its benefits when having to deal with volatile, uncertain, complex and ambiguous (VUCA) conditions. However, certain complications arise when applying the concept of agility in the hardware. In this publication, based on the challenges identified by Ovesen in 2012, the current challenges of agile development for hardware are gathered using an embedded design approach, ensuring its actuality based on the latest surveys and empirical data. The current state regarding the challenges is displayed and its interrelations as well as their advancements compared to seven years ago is discussed. Moreover, an attempt to explain the difficulties of applying agile development is given by a hardware-related complexity model.
Engineering Knowledge Graph for Keyword Discovery in Patent Search
Authors: Sarica Serhad , Song Binyang , Low En , Luo Jianxi 
Published: July 2019

AbstractPatent retrieval and analytics have become common tasks in engineering design and innovation. Keyword-based search is the most common method and the core of integrative methods for patent retrieval. Often searchers intuitively choose keywords according to their knowledge on the search interest which may limit the coverage of the retrieval. Although one can identify additional keywords via reading patent texts from prior searches to refine the query terms heuristically, the process is tedious, time-consuming, and prone to human errors. In this paper, we propose a method to automate and augment the heuristic and iterative keyword discovery process. Specifically, we train a semantic engineering knowledge graph on the full patent database using natural language processing and semantic analysis, and use it as the basis to retrieve and rank the keywords contained in the retrieved patents. On this basis, searchers do not need to read patent texts but just select among the recommended keywords to expand their queries. The proposed method improves the completeness of the search keyword set and reduces the human effort for the same task.
Integration of Value Adding Services Related to Financing and Ownership: A Business Model Perspective
Authors: Tauqeer Muhammad , Bang Knut Erik 
Published: July 2019

AbstractIt is an agreed fact among scholars that services are more sustainable compared to the products. By offering services, traditional companies can lock their customers into a long-term and sustainable revenue generation settlement. Available academic literature is abundant with methodologies related to service development. However, this study investigates various value adding service options related to financing and ownership of a product that can be offered on top of the existing products. It is important to understand these options from the consumer as well as supplier perspective. The most well established options available for financing/ownership are compiled, and sorted with respect to intangibility, ownership, financing and value addition scale. The study argues that the identified options incrementally add value to the existing offering by increasing the purchasing power and reducing the ownership obstacles for the customers. However, for the supplier, the decision depends on the trade-off between value addition for the customers and the business model changes required.
Adding Implicit Measurement Methods to Interactive Optimizations in Industrial Design - A Concept, First Tests, and Comparison Using Two Simple Case Studies
Authors: Wiesner Martin , Petrow Andreas , Vajna Sándor 
Published: July 2019

AbstractIn this article, a new approach to interactive optimization in industrial design is presented in which, for the first time, implicit preference acquisition methods are integrated. Suitable methods for preference acquisition will be selected, adapted and combined with an own PSO-inspired algorithm. The application of implicit preferences as well as the combined application of implicit and explicit preferences in an interactive optimization represents the main novelty of this contribution since this has not yet been carried out according to the current state of knowledge.Two case studies will be used to test this new approach with regard to convergence and acceptance, and a comparison will be made between the three different kind of optimization (implicit, explicit as well as a combination of both) in terms of their results.
Three-Dimensional Approach for Assessing Uncommonness of Ideas
Authors: Fiorineschi Lorenzo , Frillici Francesco Saverio , Rotini Federico 
Published: July 2019

AbstractA posteriori novelty metrics are often used in design research, in order to extract important information about creativity. However, different assessment approaches can be found in the literature, each of them with related pros and cons. In particular, weighted uncommonness, overall uncommonness and uncommonness across groups are the three main families of a-posteriori novelty metrics identified in this paper. Each of the considered literature metrics can provide specific types of information about the uncommonness of ideas, but in certain experimental circumstances, it could be difficult to rapidly identify the best-suited approach. This paper proposes an integrated procedure where the advantages offered by the three families of metrics can be applied concurrently. A generic case study is used for a first application of the proposal, and the obtained results show that a more comprehensive set of information about a-posteriori novelty can be extracted. In particular, novelty data from the three families of metrics are extracted in a single assessment process.
Towards an Approach Integrating Various Levels of Data Analytics to Exploit Product-Usage Information in Product Development
Authors: Klein Patrick , van der Vegte Wilhelm Frederik , Hribernik Karl , Klaus-Dieter Thoben 
Published: July 2019

AbstractBy applying data analytics to product usage information (PUI) from combinations of different channels, companies can get a more complete picture of their products’ and services’ Mid-Of-Life. All data, which is gathered within the usage phase of a product and which relates to a more comprehensive understanding of the usability of the product itself, can become valuable input. Nevertheless, an efficient use of such knowledge requires to setup related analysis capabilities enabling users not only to visualize relevant data, but providing development related knowledge e.g. to predict product behaviours not yet reflected by initial requirements.The paper elaborates on explorations to support product development with analytics to improve anticipation of future usage of products and related services. The discussed descriptive, predictive and prescriptive analytics in given research context share the idea and overarching process of getting knowledge out of PUI data. By implementation of corresponding features into an open software platform, the application of advanced analytics for white goods product development has been explored as a reference scenario for PUI exploitation.
Using a Design Ontology to Identify the Terms that Represent the Design Results Across Research Communities
Authors: Rosa Maiara , Rozenfeld Henrique 
Published: July 2019

AbstractThis paper is contextualized in a research project that aims to create a new paradigm to support the design process, substituting the sequential nature of design process models by a flexible structure. To implement this paradigm, we must identify the final and intermediate results of the design process, such as documents, models, artefacts, among others. However, design research is wide and multidisciplinary, resulting in non-uniformity of the terminology across research communities, what hinders the results identification by means of a literature review. This paper aims to identify the terms employed by different research communities to refer to the intermediate and final results of the design process, structuring synonym terms across research communities and establishing how those terms interrelate in the design ontology. Using literature review, the following terms were analysed: design objects, elements, deliverables, entities, information, components, data, and artefacts. The results provide a holistic view of how the terms are employed throughout research communities, supporting the creation of search strings and pointing out opportunities for improving the design ontology.
Agile Lightweight Design - The Extended Target Weighing Approach in ASD - Agile Systems Design Using Functional Modelling with the C&C2-Approach
Authors: Albers Albert , Matthiesen Sven , Revfi Sven , Schönhoff Christopher , Grauberger Patric , Heimicke Jonas 
Published: July 2019

AbstractThe context of product development can be understood as transformation of needs into technical solutions under the continuous handling of uncertainties. These result particularly in early development phases from a lack of technical knowledge. In order to counter the uncertainties, companies are increasingly implementing agile approaches, which mostly originate in the area of software development. Although these are suitable for flexible handling of project management activities and lead to an increased reactivity of the development team, they do not address the early and continuous integration of technical knowledge into the process. With the aim of optimizing mechatronic systems with regard to their lightweight design potentials, in this article a method is developed that supports agile development with the goal of lightweight design. Therefore, it combines a method for functional modelling with a function-based lightweight design method. The targeted integration of technical knowledge has shown that lightweight design potentials can be optimized iteratively in agile approaches. As an initial validation, the applicability of the method was demonstrated in a development project.
Design of Hybrid Components Joining Zone through Sensitivity Analysis
Authors: Siqueira Renan , Shugar Sean , Mozgova Iryna , Lachmayer Roland 
Published: July 2019

AbstractMulti-material structures are a trending topic for the industry. With a high application potential, such as lightweight or extended life cycle, different manufacturing technologies are further developed for this intent. One of these technologies is Tailored Forming, a process-chain capable of joining different metals and creating massive hybrid components. In parallel to this development, new challenges rise for design, which has the responsibility of finding an optimal use of this technology and produce higher- performance products. However, this task cannot be solved by conventional engineering approach, since strong manufacturing constraints are involved and a lack of understanding about the joining zone formed between the materials still exists. To fill this gap, the objective of this study is to analyse the influence of the joining zone design over the structure behaviour and establish a suitable design method. For that, a computer-aided environment was constructed and a parametric sensitivity analysis was executed, taking a hybrid shaft as example. At the end, the simulation's results allowed a multi-objective optimisation and were able to generate first design guidelines.