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Una formulación matemática y de solución para programar cirugías con restricciones de recursos humanos en el hospital público

DOI: 10.4067/S0718-33052012000200010

Keywords: surgeries scheduling, multiobjective programming, staffing, genetic algorithms, health management.

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Abstract:

currently, national and international public hospitals have demands that exceed their service capacity, which has caused a growing interest in management sciences to deliver these medical centers the tools that will enable them to perform efficiently and effectively, delivering services to different patients. this study provides a new way of approaching the problem of surgical scheduling using mathematical programming, presenting a multi-objective optimization model and a metaheuristic algorithm implemented computationall. the solution allows weekly schedule of surgical procedure and complying with the requirements of the flag and expertise necessary for realization. we ordered test instances where the execution time of the algorithm, coded in c++, was 7 minutes for a 191 surgeries waiting list, which is a considerable less amount of time to this schedule than using a manual approach. the latest is the case of public hospitals.

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