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Outpatient Appointment Scheduling Problem using Decentralized and Distributed Methods

Seyedi, Pardis | 2025

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 58030 (01)
  4. University: Sharif University of Technology and University of Torento
  5. Department: Industrial Engineering
  6. Advisor(s): Eshghi, Kourosh; Carter, Micheal
  7. Abstract:
  8. The objective of this research is to investigate the complexities and challenges of outpatient appointment scheduling in healthcare systems and to develop an integrated and decentralized scheduling system capable of effectively managing patient appointments across a healthcare system. This study begins with a comprehensive literature review, examining existing scheduling models, sequencing methods, and optimization techniques. It then introduces several optimization models for outpatient appointment scheduling, including scheduling and sequencing for multi-class, multi-priority patients, incorporating patient flexibility in choosing service locations. Patient-based and center-based decomposition methods are also introduced as a solution method and problem-solving approach. The thesis presents a novel appointment scheduling process and proposes two decentralized and distributed solution frameworks to solve this problem. The practical and computational validity of the proposed methods is demonstrated through computational experiments and case studies using real-world data from MRI data in Ontario, Canada. The results indicate that the proposed integrated online booing system and decentralized solution frameworks not only provide reliable algorithmic structures but also enhance the efficiency of healthcare systems by balancing workload among centers and reducing patient wait times
  9. Keywords:
  10. Mathematical Programming ; Operations Research ; Health Care System ; Decomposition Technique ; Decentralization ; Parsing Algorithms ; Sequencing ; Scheduling ; Outpatient Appointment System ; Alternating Direction Method of Multipliers (ADMM)Algorithm

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