Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study

Authors

  • Mahdi Hamid School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • Mohammad Mahdi Nasiri School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • Mojtaba Hamid Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:

Surgical theater is one of the most expensive hospital sources that a high percentage of hospital admissions are related to it. Therefore, efficient planning and scheduling of the operating rooms (ORs) is necessary to improve the efficiency of any healthcare system. Therefore, in this paper, the weekly OR planning and scheduling problem is addressed to minimize the waiting time of elective patients, overutilization and underutilization costs of ORs and the total completion time of surgeries. We take into account the available hours of ORs and the surgeons, legal constraints and job qualification of surgeons, and priority of patients in the model. A real-life example is provided to demonstrate the effectiveness and applicability of the model and is solved using ε-constraint method in GAMS software. Then, data envelopment analysis (DEA) is employed to obtain the best solution among the Pareto solutions obtained by ε-constraint method. Finally, the best Pareto solution is compared to the schedule used in the hospitals. The results indicate the best Pareto solution outperforms the schedule offered by the OR director.

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Journal title

volume 29  issue 2

pages  117- 132

publication date 2018-06

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