Hostname: page-component-cb9f654ff-hqlzj Total loading time: 0 Render date: 2025-08-22T14:03:18.265Z Has data issue: false hasContentIssue false
  • English
  • Français

IDENTIFY CRITICAL DATA DURING PRODUCT CUSTOMISATION – A CASE STUDY OF ORTHOSES FABRICATION

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

X. Tan ,
W. Chen ,
J. Cao  and
S. Ahmed-Kristensen
X. Tan*
Affiliation:
Imperial College London, United Kingdom
W. Chen
Affiliation:
Xuzhou Central Hospital, China
J. Cao
Affiliation:
Xuzhou Central Hospital, China
S. Ahmed-Kristensen
Affiliation:
Royal College of Art, United Kingdom
*
*xinyang.tan14@imperial.ac.uk

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Big data provides high volume of data to inform product customisation. Understanding which data is relevant remains a challenge. A method is proposed to identify relevant data to inform data-driven customisation. A case study regarding customisation of orthoses was conducted. Verbal protocol analysis was employed to extract time spent on major fabrication phases. Data related to patients, therapists and fabrication time was analysed. Results showed that the number of stabilised joints, experience of therapists and whether the design is for in- or out-patient are key factors for customisation.

Keywords

human behaviourprotocol analysisdata-driven designhealthcare designcustomisation

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 413 - 422
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Ahmed, S. and Wallace, K.M. (2004), “Understanding the knowledge needs of novice designers in the aerospace industry”, Design studies, Vol. 25 No. 2, pp. 155–173. https://doi.org/10.1016/j.destud.2003.10.006CrossRefGoogle Scholar
Ambrogio, G. et al. (2005), “Application of Incremental Forming process for high customised medical product manufacturing”, Journal of Materials Processing Technology, Vol. 162, pp. 156–162. https://doi.org/10.1016/j.jmatprotec.2005.02.148CrossRefGoogle Scholar
Anwar, R., Abidin, S.Z. and Hassan, O.H. (2015), “A framework of empirical study through design practice for industrial ceramic sanitary ware design”, In International Colloquium of Art and Design Education Research (i-CADER 2014), Springer, Singapore, pp. 683–694. https://doi.org/10.1007/978-981-287-332-3_70CrossRefGoogle Scholar
Barnes, L. et al. (2006), “A mass customised supply chain for the fashion system at the design-production interface”, Journal of Fashion Marketing and Management: An International Journal. https://doi.org/10.1108/13612020610679312CrossRefGoogle Scholar
Basoglu, N., Daim, T.U. and Sofuoglu, E. (2009), “A decision methodology for customising software products”, International Journal of Industrial and Systems Engineering, Vol. 4 No. 5, pp. 554–576. https://doi.org/10.1504/IJISE.2009.024158CrossRefGoogle Scholar
Bousseau, A. et al. (2016), “How novices sketch and prototype hand-fabricated objects”, In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, ACM, pp. 397–408. https://doi.org/10.1145/2858036.2858159CrossRefGoogle Scholar
Buurke, J.H. et al. (1999), “Usability of thenar eminence orthoses: report of a comparative study”, Clinical rehabilitation, Vol. 13 No. 4, pp. 288–294. https://doi.org/10.1191/026921599671603077CrossRefGoogle ScholarPubMed
Charters, E. (2003), “The use of think-aloud methods in qualitative research an introduction to think-aloud methods”, Brock Education: A Journal of Educational Research and Practice, Vol. 12 No. 2. https://doi.org/10.26522/brocked.v12i2.38Google Scholar
Chen, C.H., Khoo, L.P. and Yan, W. (2005), “PDCS—a product definition and customisation system for product concept development”, Expert Systems with Applications, Vol. 28 No. 3, pp. 591–602. https://doi.org/10.1016/j.eswa.2004.12.040CrossRefGoogle Scholar
Dopp, A.R. et al. (2019), “Integrating implementation and user-centred design strategies to enhance the impact of health services: protocol from a concept mapping study”, Health research policy and systems, Vol. 17 No. 1, p.1. https://doi.org/10.1186/s12961-018-0403-0CrossRefGoogle ScholarPubMed
Ellena, T. et al. (2018), “A design framework for the mass customisation of custom-fit bicycle helmet models”, International Journal of Industrial Ergonomics, Vol. 64, pp. 122–133. https://doi.org/10.1016/j.ergon.2018.01.005CrossRefGoogle Scholar
Ericsson, K.A. and Simon, H.A. (1984), Protocol analysis: Verbal reports as data. the MIT Press.Google Scholar
Jung, J.J., Kim, K. and Park, J. (2019), “Framework of Big data Analysis about IoT-Home-device for supporting a decision making an effective strategy about new product design”, In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), IEEE, pp. 582–584. https://doi.org/10.1109/icaiic.2019.8669086CrossRefGoogle Scholar
Klein, P. et al. (2019), “Towards an approach integrating various levels of data analytics to exploit product-usage information in product development”, In Proceedings of the Design Society: International Conference on Engineering Design, Cambridge University Press, pp. 2627–2636. https://doi.org/10.1017/dsi.2019.269CrossRefGoogle Scholar
Macchion, L., Fornasiero, R. and Vinelli, A. (2017), “Supply chain configurations: a model to evaluate performance in customised productions”, International Journal of Production Research, Vol. 55 No. 5, pp. 1386–1399. https://doi.org/10.1080/00207543.2016.1221161CrossRefGoogle Scholar
Mata, M.P. et al. (2017), “Investigating the influence of product perception and geometric features”, Research in Engineering Design, Vol. 28 No. 3, pp. 357–379. https://doi.org/10.1007/s00163-016-0244-1CrossRefGoogle Scholar
McKee, P. and Rivard, A. (2004), “Orthoses as enablers of occupation: client-centred splinting for better outcomes”, Canadian Journal of Occupational Therapy, Vol. 71 No. 5, pp. 306–314. https://doi.org/10.1177/000841740407100510CrossRefGoogle ScholarPubMed
Morrison, C. and Blackwell, A.F. (2009), “Observing end-user customisation of electronic patient records”, In International Symposium on End User Development, Springer, Berlin, Heidelberg, pp. 275–284. https://doi.org/10.1007/978-3-642-00427-8_16CrossRefGoogle Scholar
Mourtzis, D., Doukas, M. and Psarommatis, F. (2013), “Design and operation of manufacturing networks for mass customisation”, CIRP Annals, Vol. 62 No. 1, pp. 467–470. https://doi.org/10.1016/j.cirp.2013.03.126CrossRefGoogle Scholar
Narvaez, D. (1999), “Using discourse processing methods to study moral thinking”, Educational Psychology Review, Vol. 11 No. 4, pp. 377–393. https://doi.org/10.1023/a:1022061417089CrossRefGoogle Scholar
Richard, R. and Ward, R.S. (2005), “Splinting strategies and controversies”, The Journal of burn care & rehabilitation, Vol. 26 No. 5, pp. 392–396. https://doi.org/10.1097/01.bcr.0000176886.63559.8bCrossRefGoogle ScholarPubMed
Sandford, F., Barlow, N. and Lewis, J. (2008), “A study to examine patient adherence to wearing 24-hour forearm thermoplastic splints after tendon repairs”, Journal of Hand Therapy, Vol. 21 No. 1, pp. 44–53. https://doi.org/10.1197/j.jht.2007.07.004CrossRefGoogle ScholarPubMed
Stavrakos, S.K., Ahmed-Kristensen, S. and Goldman, T. (2016), “Using archetypes to create user panels for usability studies: Streamlining focus groups and user studies”, Applied ergonomics, Vol. 56, pp. 108–116. https://doi.org/10.1016/j.apergo.2016.02.016CrossRefGoogle ScholarPubMed
Stock, T. and Seliger, G. (2016), “Opportunities of sustainable manufacturing in industry 4.0”, Procedia Cirp, Vol. 40, pp. 536–541. https://doi.org/10.1016/j.procir.2016.01.129CrossRefGoogle Scholar
Tao, F. et al. (2018), “Data-driven smart manufacturing”, Journal of Manufacturing Systems, Vol. 48, pp. 157–169. https://doi.org/10.1016/j.jmsy.2018.01.006CrossRefGoogle Scholar
Tardivel, J. (1998), “Gender differences in relation to motivation and compliance in cardiac rehabilitation”, Nursing in critical care, Vol. 3 No. 5, pp. 214–219.Google ScholarPubMed
Tüchsen, J. et al. (2018), “Data driven design selection and generation-an industrial case study on electric motors”, In DS 92: Proceedings of the DESIGN 2018 15th International Design Conference, pp. 1709–1720. https://doi.org/10.21278/idc.2018.0223CrossRefGoogle Scholar
Vig, K.W. (2012), “Patient compliance to wear orthodontic retainers during postretention may vary by age, gender, and time since braces were removed”, Journal of Evidence Based Dental Practice, Vol. 12 No. 1, pp. 35–36. https://doi.org/10.1016/s1532-3382(12)70037-4CrossRefGoogle ScholarPubMed
Voet, H. et al. (2019), “A Framework for the Capture and Analysis of Product Usage Data for Continuous Product Improvement”, Journal of Manufacturing Science and Engineering, Vol. 141 No. 2, p. 021010. https://doi.org/10.1115/1.4041948CrossRefGoogle Scholar
Wilkinson, C.R. and De Angeli, A. (2014), “Applying user centred and participatory design approaches to commercial product development”, Design Studies, Vol. 35 No. 6, pp. 614–631. https://doi.org/10.1016/j.destud.2014.06.001CrossRefGoogle Scholar
Willard, S. et al. (2018), “Development and testing of an online community care platform for frail older adults in the Netherlands: a user-centred design”, BMC geriatrics, Vol. 18 No. 1, p. 87. https://doi.org/10.1186/s12877-018-0774-7CrossRefGoogle ScholarPubMed
Yang, X. et al. (2007), “A component-based software framework for product lifecycle information management for consumer products”, IEEE Transactions on Consumer Electronics, Vol. 53 No. 3, pp. 1195–1203. https://doi.org/10.1109/tce.2007.4341604CrossRefGoogle Scholar
Zheng, P., Xu, X. and Chen, C.H. (2018), “A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment”, Journal of Intelligent Manufacturing, pp. 1–16. https://doi.org/10.1007/s10845-018-1430-yGoogle Scholar