Query returned 1281 results.
Framework for Comparison of Product Carbon Footprints of Different Manufacturing Scenarios
Winter, Sven;
Quernheim, Niklas;
Arnemann, Lars;
Anderl, Reiner;
Schleich, Benjamin // 2023
The Product Carbon Footprint (PCF) has been established over the last few years as a new control variable in product design to quantify the sustainable impact of a product. However, the calculation ...
From haptic interaction to design insight: An empirical comparison of commercial hand-tracking technology
Cox, Christopher Michael Jason;
Hicks, Ben;
Gopsill, James;
Snider, Chris // 2023
Advancements in prototyping technologies – haptics and extended reality – are creating exciting new environments to enhance stakeholder and user interaction with design concepts. These interactions ...
From sketches to graphs: A deep learning based method for detection and contextualisation of principle sketches in the early phase of product development
Bickel, Sebastian;Goetz, Stefan;Wartzack, Sandro // 2023
The digitalization trend is finding its way more and more into product development, resulting in new frameworks to enhance product engineering. An integral element is the application of new ...
FROM TEXT TO IMAGES: LINKING SYSTEM REQUIREMENTS TO IMAGES USING JOINT EMBEDDING
Chen, Cheng;
Carroll, Cody;
Morkos, Beshoy // 2023
Smart manufacturing enterprises rely on adapting to rapid engineering changes while minimizing the generated risk. Making informed decisions related to engineering changes and managing risks against ...
Function driven assessment of manufacturing risks in concept generation stages
Brahma, Arindam (1);Panarotto, Massimo (1);Kipouros, Timoleon (2);Isaksson, Ola (1);Andersson, Petter (3);Clarkson, P. John (2) // 2023
Decisions made in the concept generation phase have a significant effect on the product. While product-related risks typically can be considered in the early stages of design, risks such as supply ...
GitHub for product development -- How could that look like?
Hackenberg, Georg; Zehetner, Christian; Frühwirth, Dominik // 2023
Product development is facing new challenges due to increasingly complex and individualized products in small batch sizes and short time to markets at high quality standards. Integrated product data ...
How do prototypes change? Characterising quantitative and qualitative changes between prototype iterations
Real, Ricardo;
Snider, Chris;
Goudswaard, Mark;
Hicks, Ben // 2023
Prototyping strategies and technology often focus on reducing the fabrication time and cost between design iterations, however, there is limited knowledge about the specific characteristics of change ...
Identification and Retrieval of Relevant Information for Instantiating Digital Twins during the Construction of Process Plants
Layer, Max (1);Neubert, Sebastian (1);Tiemann, Lea (1);Stelzer, Ralph (2) // 2023
While volume-driven industries such as automotive are characterized by a high degree of data backflow across all production cycles, there is still a certain residue in the planning and construction ...
Identifying successful approaches during testing activities in engineering design
Liewerenz, Oliver;
Grauberger, Patric;
Nelius, Thomas;
Matthiesen, Sven // 2023
Testing activities to gain specific design knowledge play an essential role in engineering design, when a structure needs to be developed, for which knowledge from analytical models or documentation ...
Implications of EU instruments on company capabilities to design more sustainable solutions–Product Environmental Footprint and Digital Product Passport
Lövdahl, Josefin (1); Hallstedt, Sophie I. (1,2); Schulte, Jesko (1) // 2023
In the EU, initiatives with concrete instruments for measuring and storing sustainability-related product data are now introduced in legislation. Based on literature review and semi-structured ...
Integrating Sensors in Products: A New Tool for Design Education
Briard, Tristan (1,2); Jean, Camille (1); Aoussat, Améziane (1); Véron, Philippe (2) // 2023
This paper present a pedagogical tool to address a lack of creative approach in traditional education on embedded sensors. The tool is built in a systematic way from the data sheet information of a ...
INVESTIGATING THE PERIMETER OF INNOVATION IN DESIGN EDUCATION THROUGH MAPPING OF EXPERIMENTAL PRACTICES
Taverna, Andrea; Manciaracina, Andrea; Cipriani, Laura; Mattioli, Francesca // 2023
Innovation of didactic is an increasingly strategic goal for universities to equip students with the right competencies for modern and complex challenges and for continuously changing working ...
Investigating the process, design outputs and neurocognitive differences between prototyping activities with physical and digital Lego
McClenaghan, Adam;
Goudswaard, Mark;
Hicks, Ben // 2023
Design neurocognition is an emerging research area that can provide insights into the black box of designers’ cognitive processes. However, work to date has focused on neurocognition on its own, ...
Investigation of Customer Preference Changes Following COVID-19 Market Disruption Using Online Review Analysis
Park, Seyoung (1);
Lin, Kangcheng (1);
Joung, Junegak (2);
Kim, Harrison (1) // 2023
COVID-19 pandemic has continued to pose a challenge to the society for almost three years, adversely affecting all segments of population in a scale unseen in the recent decades. Over the course of ...
Knowledge-based data identification for machine learning use cases
Ebel, Helena;Ben Hassine, Sahar;Stark, Rainer // 2023
The number of digital solutions based on machine learning has increased in recent years. In many industrial sectors, they try to enhance automation in manual or repetitive tasks or provide decision ...
LANDSCAPE METAPHORS FOR BACHELOR DESIGN STUDENTS’ IDENTITY AND VISION DEVELOPMENT
Van Riet, Catharina Maria; Khalandi, Gizing; Wijers, Jelle Alexander // 2023
Professional identity and vision (PIV) development is important for students to shape their educational path and future careers. Students need guidance to transition from their university work into ...
Linking digital B2B platform business models and product development: A bibliometric analysis and literature review
Brecht, Patrick (1);
Hendriks, Daniel (1);
Niever, Manuel (1);
Hahn, Carsten (1);
Pfaff, Felix (2);
Rapp, Simon (2);
Albers, Albert (2) // 2023
Developing digital platform business models, especially in business-to-business (B2B) markets, has a high potential for companies who successfully develop their products in generations. The model of ...
Machine learning for parametric cost estimation of axisymmetric components
Manuguerra, Luca;Mandolini, Marco;Germani, Michele;Sartini, Mikhailo // 2023
Machine learning (ML) is a well-established research topic in Industry 4.0 is boosting its adoption. ML is also used for manufacturing cost estimation during design. Such approaches are commonly used ...
Machine Learning-based Virtual Sensors for guiding user behaviour: a case study on household appliances
Ilare, Dennis (1,2);
Cascini, Gaetano (1);
Manzoni, Stefano (1);
Mansutti, Alessandro (2) // 2023
The Agenda 2030 calls for collective awareness, starting with individuals. The interaction between users and household appliances produces a relevant amount of data that can be elaborated through ...
Managing data-driven design: A survey of the literature and future directions
Johnson, Julie;
Hurst, Ada;
Safayeni, Frank // 2023
Data-driven design is expected to change design processes and organizations in significant ways. What actions should design managers take to ensure the best possible outcomes in this new data-driven ...
MAPPING THE JOURNEYS OF ATRIAL FIBRILLATION PATIENTS AND CITIZENS USING WEARABLE DEVICES FOR REMOTE CARDIAC MONITORING
Suresh Kumar, Sagar (1);
Andreakou, Eva (2);
Tzachsan, Marianna (2);
Maier, Anja M. (1,2) // 2023
Atrial Fibrillation (AF) is one of the most prevalent cardiac diseases in the world. How might we design patient journeys improving quality of life using wearable cardiac devices for continuous out ...
Method for modeling the value network of smart product-service systems
Yevgeni Paliyenko, Rodrigo Salinas, Daniel Roth, Matthias Kreimeyer // 2023
Nowadays, enterprises are exposed to dynamic market changes, such as increasing competitive pressure or changing customer needs. They react to this by extending their portfolio with smart ...
Method for the Integration of Computer Aided Manufacturing Data in Life Cycle Assessment
Quernheim, Niklas;
Winter, Sven;
Arnemann, Lars;
Schleich, Benjamin // 2023
Precise sustainability assessment becomes increasingly important in decision-making, marketing, and regulations. Therefore, reliable and comparable LCA becomes mandatory. Currently, primary data is ...
Methodical Approach to cluster Configurations of Product Variants of Complex Product Portfolios
Mehlstäubl, Jan (1); Pfeiffer, Christoph (1); Kraul, Ralf (2); Braun, Felix (2); Paetzold-Byhain, Kristin (1) // 2023
Companies are increasingly struggling to manage their complex product portfolios. Since they do not fully understand the complexity, intelligent solutions are required. Emerging technologies and ...
Boolean Searches
The following examples demonstrate some search strings that use boolean operators:
- design community
Find rows that contain at least one of the two words. - +design +community
Find rows that contain both words. - +design community
Find rows that contain the word “design”, but rank rows higher if they also contain “community”. - +design -community
Find rows that contain the word “design” but not “community”. - +design ~community
Find rows that contain the word “design”, but if the row also contains the word “community”, rate it lower than if row does not. - +design +(>community <decisions)
Find rows that contain the words “design” and “community”, or “design” and “decisions” (in any order), but rank “design community” higher than “design decisions” - design*
Find rows that contain words such as “design”, “designs”, “designing”, or “designer”. - "some words"
Find rows that contain the exact phrase “some words” (for example, rows that contain “some words of wisdom” but not “some noise words”). Note that the " characters that enclose the phrase are operator characters that delimit the phrase. They are not the quotation marks that enclose the search string itself.