Collaborative design environment between ECAD and MCAD engineers in high-tech products development

Son, Su-Young; Na, Sangwook; Kim, Kukjin; Lee, Shin-Young

doi:10.1080/00207543.2014.918289

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…The progress in information and communication technology and the product use data collected offer opportunities to further improve product design. Son et al (2014) proposed a collaborative design environment offering a platform to share the information regarding the product designs to reduce lead time and identify design errors at early design stages. In an application of the modularity concept, Li and Xie (2015) developed an extraction algorithm to generate a design structure matrix from the CAD assembly information.…”

Section: Product Designmentioning

confidence: 99%

From data to big data in production research: the past and future trends

Kuo

Kusiak

2018

International Journal of Production Research

160

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Data have been utilised in production research in meaningful ways for decades. Recent years have offered data in larger volumes and improved quality collected from diverse sources. The state-of-the-art data research in production and the emerging methodologies are discussed. The review of the literature suggests that production research enabled by data has shifted from that based on analytical models to data-driven. Manufacturing and data envelopment analysis have been the most popular application areas of data-driven methodologies. The research published to date indicates that data mining is becoming a dominant methodology in production research. Future trends and opportunities for data-driven production research are presented.

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Section: Product Designmentioning

confidence: 99%

From data to big data in production research: the past and future trends

Kuo

Kusiak

2018

International Journal of Production Research

160

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“…AM, through its innovative technological approach, can provide the opportunity to meet market needs that may not have been possible with traditional operations. However, fit with existing systems or production processes may lead to potentially different and higher costs [7], requiring investment in training for innovative materials, design and changes to data storage, flow and structures [48,49]. Though AM has been shown to reduce time and quality problems resulting from assembly operations compared to traditional approaches, it still requires consideration of its compatibility with current work practices and organizational structure to avoid functional silos.…”

Section: Am Adoption and Business Outcomesmentioning

confidence: 99%

Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies

et al. 2022

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Background: Research on Additive Manufacturing [AM] provides few guidelines for successful adoption of the technology in different market environments. This paper seeks to address this gap by developing a framework that suggests market attributes for which the technology will successfully meet a need. We rely on classical technology adoption theory to evaluate the challenges and opportunities proffered by AM. Methods: We apply a framework of technology adoption and assess these parameters using seven case studies of businesses that have successfully adopted AM technology. Results: We find that successful business adoption is highly associated with the relative advantage of AM to rapidly deliver customized products targeted to niche market opportunities. Conclusions: Our findings provide a decision framework for AM equipment manufacturers to employ when evaluating AM technology across various market environments. All five adoption characteristics were found to be important however, the primary decision criterion is based on the relative advantage of AM over other, traditional, technologies. From a practitioner perspective, our research highlights the importance of AM in attaining a competitive advantage through responsive, customized production which can address the needs of niche markets.

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“…As mentioned above, we divide the web-based product co-design process into five main steps: idea, analysis, concept, implement, and evaluate. A distributed design project management environment [43] is a must, and relevant studies include information management, task management, activity scheduling, resource sharing, social tools, CAD tools, and decision-making [44] tools, etc. The research related to the collaborative design environment is divided into the following five parts.…”

Section: How: Process/toolsmentioning

confidence: 99%

Conceptualization and Research Progress on Web-Based Product Co-Design

Kang

Kang²,

Wen-Yin

2020

Informatics

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Web-based stakeholders’ participation in product co-design is an emerging business model for companies. However, research on user’s online involvement in product co-design is limited. In this paper, we investigated the three major interdisciplinary academic databases Web of Science, Scopus, and ScienceDirect (data collected in May 2020), with the aim of explaining the meaning, core concepts, historical roots, and research trends of co-design. A total of 39 of the deemed relevant studies were emphatically analyzed, systematically discusses the concept implication and development status of co-design, and the key points of web-based product co-design research, as well as the future research direction.

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Collaborative design environment between ECAD and MCAD engineers in high-tech products development

Cited by 15 publications

References 15 publications

From data to big data in production research: the past and future trends

From data to big data in production research: the past and future trends

Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies

Conceptualization and Research Progress on Web-Based Product Co-Design

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