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Allocation and scheduling of digital dentistry services in a dental cloud manufacturing system

Valizadeh, S ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1080/0951192X.2021.1992668
  3. Publisher: Taylor and Francis Ltd , 2022
  4. Abstract:
  5. Recent enhancements in computer aided design and manufacturing have made dentistry workflow more effective. Dental products are highly customized and personalized for patients. So, they require manufacturing processes for flexibility and agility and fulfilling requirements like quality, delivery time and cost. Various types of scanners, design software and production devices are used by stakeholders in digital dentistry. Also, other stakeholders such as dentists, dental surgeons and lab technicians work together to respond to patient demands to produce the required products while they are distributed in different geographical locations. This paper introduces a new practical and multidisciplinary contribution named as personalized dental production system. The system uses the cloud-based manufacturing paradigm to shape the collaborative workflow of medical manufacturing processes. This workflow is modeled using XaaS (Everything as a Service) approach and addresses limitations such as delivery time and cost of production services. A new mathematical model is developed to allocate and schedule all tasks to providers. The developed model allocates and schedules tasks to providers considering services composing and orders decomposing simultaneity. To response NP-hard challenges of the mathematical model, a new algorithm is proposed. The results show that the proposed algorithm generates appropriate solutions within a reasonable time. © 2021 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. CAD/CAM (computer aided design/computer aided manufacturing) ; Service composition ; Computer aided design ; Computer aided manufacturing ; Dentistry ; Digital devices ; Production control ; Cloud Manufacturing ; Computer aided design/computer aided manufacturing ; Delivery costs ; Delivery time ; Digital dentistry ; Manufacturing process ; Order decomposition ; Personalized production ; Services composition ; Work-flows ; Scheduling
  8. Source: International Journal of Computer Integrated Manufacturing ; Volume 35, Issue 6 , 2022 , Pages 645-661 ; 0951192X (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/0951192X.2021.1992668