Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

Tan, Xin; Chen, W.; Cao, Jun; Ahmed‐Kristensen, Saeema

doi:10.1017/dsd.2020.105

Cited by 2 publications

(7 citation statements)

References 32 publications

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“…Additionally, the durability of orthoses may not be the priority for in-patients as they live in the hospital with easy access to repair by therapists. Similar results have also been revealed in the study [29].…”

Section: Total Fabrication Time and Time Spent On Major Phasessupporting

confidence: 92%

“…Chi [34] proposed several methods to segment verbal data based on size, characteristics, correspondence and necessity of segmentation. In this case, segmenting according to the two criteria [29] were found efficient to generate codable utterances. First, continuous sentences with content of similar tasks or movements which were conducted with the same intent, were segmented into the same category.…”

Section: Data Processingmentioning

confidence: 98%

“…Patients with the following conditions were excluded: (1) diabetes, hand paresthesia or sensation loss on hands; (2) mental illness or cognitive symptoms; and (3) patients in whole day care who could not provide independent consent to participant in the study. The criteria were also employed in our previous study [29]. All data collected were stored anonymously and confidentially, and the identification of all participants, including patients and therapists, could not be recognized.…”

Section: A Study Setmentioning

confidence: 99%

“…2: The coding scheme. The scheme was also used in our previous study [29]. Irrelevant data to therapists' thoughts of the customization, including communications between the therapist and other hospital staff, patients and family members were not considered as eligible data and were eliminated during transcription.…”

Section: Data Processingmentioning

confidence: 99%

“…For example, regular check is essential to ensure that orthoses do not place excessive pressure on the Fig. 6: Average percentage of time spent on major phases [29]. Fig.…”

Section: Total Fabrication Time and Time Spent On Major Phasesmentioning

confidence: 99%

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A preliminary study to identify data needs for improving fit of hand and wrist orthosis using verbal protocol analysis

et al. 2020

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The delayed delivery, poor fitting and discomfort of customized orthoses are reported in rehabilitation clinics as resulting in more invasive interventions. The current practice of orthosis customization relies heavily upon the experience and fabrication processes of therapists. In order to better understand the current practice, and thus identify data that is required for better comfort moving towards a data-driven customization, this paper describes a study generating working models of therapists. Customizations of hand and wrist orthoses for 18 patients were observed. Verbal protocol analysis was employed to extend the current understanding of fabrication processes. Working models of four therapists were established with quantitative evaluation on major phases, interactive activities and iterations of performing tasks during fabrication, revealing different working models between in-and out-patient departments (e.g. fabrication for in-patients was more complex and focused on ergonomic fitting whereas fabrication for out-patients paid attention to durability) which were qualitatively explained.

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Section: Total Fabrication Time and Time Spent On Major Phasessupporting

confidence: 92%

Section: Data Processingmentioning

confidence: 98%

Section: A Study Setmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

“…For example, regular check is essential to ensure that orthoses do not place excessive pressure on the Fig. 6: Average percentage of time spent on major phases [29]. Fig.…”

Section: Total Fabrication Time and Time Spent On Major Phasesmentioning

confidence: 99%

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A preliminary study to identify data needs for improving fit of hand and wrist orthosis using verbal protocol analysis

et al. 2020

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Four Patterns of Data-Driven Design Activities in New Product Development

Lee

Ahmed‐Kristensen

2023

Proc. Des. Soc.

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In the midst of Industry 4.0 where digitalisation is stimulated through the Internet of Things (IoT), Big Data, and machine learning technologies, an increasing volume of valuable data has been acquired from sensors and interconnected devices. This data-driven paradigm can enable organisations to create new or improved products and services, build long-term customer relationships in a value co-creation manner, adapt to continuous business reconfiguration or address societal challenges such as sustainability. Scientific research addressing Data-driven design has increased steadily in the last few years. However, despite this, there is still a need for a comprehensive understanding of data-driven design processes. Thus, through a systematic literature review, we review the data-driven design activities observed in the new product and service development and types of data utilised in New Product Development (NPD) process. This paper contributes to design research and through reviewing the current landscape of Data-driven design identifies ten data-driven design activities and four-dimensional aspects in NPD process.

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Identify Critical Data During Product Customisation – A Case Study of Orthoses Fabrication

Cited by 2 publications

References 32 publications

A preliminary study to identify data needs for improving fit of hand and wrist orthosis using verbal protocol analysis

A preliminary study to identify data needs for improving fit of hand and wrist orthosis using verbal protocol analysis

Four Patterns of Data-Driven Design Activities in New Product Development

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