This dissertation addresses robust appointment scheduling in healthcare. It introduces service levels to ensure acceptable waiting times even in worst-case scenarios, while maximizing capacity utilization and minimizing costs. The concept is applied to three operational problems: a general appointment scheduling framework, predictive overbooking, and home healthcare planning. Solutions are derived using novel decomposition approaches, including a nested branch-and-price procedure. Computational studies demonstrate that robust waiting time guarantees enable both efficient and equitable appointment schedules.
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This dissertation addresses robust appointment scheduling in healthcare. It introduces service levels to ensure acceptable waiting times even in worst-case scenarios, while maximizing capacity utilization and minimizing costs. The concept is applied to three operational problems: a general appointment scheduling framework, predictive overbooking, and home healthcare planning. Solutions are derived using novel decomposition approaches, including a nested branch-and-price procedure. Computational...
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