Federico Lauritano
Optimizing Surgical Scheduling in Healthcare Services: Models and Algorithms for Minimizing Makespan in No-Wait Scenarios.
Rel. Marco Ghirardi. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
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Abstract
This thesis addresses a practical challenge encountered in the management of operating rooms within healthcare institutions. When dealing with the issue of scheduling a list of patients with varying surgery durations, an incorrect decision can result in significant time inefficiencies across the overall schedule, leading to a waste of resources that this work aims at minimizing. The problem of organizing tasks is well studied in the context of scheduling theory and the general idea is to search for a solution that satisfies all the requirements presented and at the same time minimizes a certain quantity indicating the quality of a solution.
The first step in solving a scheduling problem is identifying what are the Decision Variables (DVs) that best represent the problem within the context
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