Operating room scheduling in teaching hospitals
type: Item
instance of: scholarly article
title: Operating room scheduling in teaching hospitals
zbMATH Open document ID: 1246.90086
DOI: 10.1155/2012/548493
author: Somayeh Ghazalbash
author: Mohammad Mehdi Sepehri
author: Pejman Shadpour
author: Arezoo Atighehchian
published in: Advances in Operations Research
publication date: 2012-09-04T00:00:00Z
review text: Summary: Operating room scheduling is an important operational problem in most hospitals. In this paper, a novel mixed integer programming (MIP) model is presented for minimizing Cmax and operating room idle times in hospitals. Using this model, we can determine the allocation of resources including operating rooms, surgeons, and assistant surgeons to surgeries, moreover the sequence of surgeries within operating rooms and the start time of them. The main features of the model will include the chronologic curriculum plan for training residents and the real-life constraints to be observed in teaching hospitals. The proposed model is evaluated against some real-life problems, by comparing the schedule obtained from the model and the one currently developed by the hospital staff. Numerical results indicate the efficiency of the proposed model compared to the real-life hospital scheduling, and the gap evaluations for the instances show that the results are generally satisfactory.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90B35
zbMATH DE Number: 6076659
Wikidata QID: Q58698844
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/548493
OpenAlex ID: W2030465520
cites work: Surgical case scheduling as a generalized job shop scheduling problem
cites work: Operating room planning and scheduling: a literature review
cites work: Patient mix optimization in tactical cardiothoracic surgery planning: a case study
cites work: Sequencing surgical cases in a day-care environment: an exact branch-and-price approach
cites work: A constraint programming-based solution approach for medical resident scheduling problems
description: scientific article; zbMATH DE number 6076659