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A Novel Digital Dentistry Platform Based on Cloud Manufacturing Paradigm

Valizadeh, Siavash | 2019

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 52607 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Houshmand, Mahmoud; Fatahi Valilai, Omid; Vasegh, Zahra
  7. Abstract:
  8. This thesis has developed a novel platform for digital dentistry which facilitates the interoperability among different digital components and improves digital workflow in a collaborative environment. The platform is inspired by the cloud manufacturing paradigm for enabling the interoperability and collaboration management and also applies the DICOM standard to improve the integration for the coordination among the different stakeholders for better sharing of their resources while they are geographically distributed. The paper has proposed the application of the PACS concept to include design, implant planning, process planning and production workstations. The paper has conducted a comprehensive case study through a scenario based workflow simulation. The exchange of data among the participants was investigated while the different digital components were collaboratively engaged and the digital workflow was seamless including design, implant planning, process planning and production workstations. This decreases the investment of the participants considerably while providing the benefit of fulfilling more demands by limited services.This research evaluates orders in digital dentistry and develops a mathematical model to optimize production planning and scheduling of orders by considering different objectives and requirements that are common in dentistry. In addition, a metaheuristics algorithm was developed to respond to NP-hard challenges of the model. Finally, through case studies, performance of the developed model and proposed algorithm was investigated. Developed algorithm generates solutions with proper quality considering makespan and total completion time objectives and required time to obtain a solution with high quality depends on problem data and can increase.To satisfy limitations such as delivery time and cost of services in a global environment, a new mathematical model was developed to allocate and schedule all tasks to providers considering developed model composes services and decomposes orders simultaneity to response limitations and quality of services that is novel in cloud manufacturing researches. Moreover, to response NP-hard challenges a new comprehensive algorithm was developed
  9. Keywords:
  10. Cloud Manufacturing ; Scheduling ; Computer Aided Manufacturing (CAM) ; Digital Imaging and COmunication in Medicine (DICOM) ; Digital Dentistry

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