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Operating room scheduling by considering the decision-making styles of surgical team members: A comprehensive approach
- Source :
- Computers & Operations Research. 108:166-181
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- This paper presents a comprehensive and novel mathematical model to address the scheduling problem of inpatient surgeries. The interaction quality and compatibility level of surgical team members can have a significant impact on the quality and safety of a surgery. The first aim of this paper is to incorporate the decision-making styles of the surgical team members (as a personality indicator) in an operating room scheduling problem to improve the compatibility level within the surgical teams. The second aim of this paper is to provide a more effective and realistic solution for the problem by considering several practical factors. These factors include the availability of material resources (i.e., operating rooms, post-anesthesia beds, and equipment), priorities of patients, and availability, skills, and competencies of the surgical personnel. To cope with the computational complexity of the problem, two metaheuristics (i.e., NSGA-II and MOPSO) are developed to find Pareto solutions. Furthermore, the PROMETHEE-II method is used to select the best among the obtained Pareto solutions. Finally, a real case study is provided to show the applicability of the developed approach.
- Subjects :
- 0209 industrial biotechnology
Surgical team
021103 operations research
General Computer Science
Computational complexity theory
Job shop scheduling
Operations research
Computer science
0211 other engineering and technologies
Pareto principle
02 engineering and technology
Management Science and Operations Research
Scheduling (computing)
020901 industrial engineering & automation
Modeling and Simulation
Metaheuristic
Subjects
Details
- ISSN :
- 03050548
- Volume :
- 108
- Database :
- OpenAIRE
- Journal :
- Computers & Operations Research
- Accession number :
- edsair.doi...........24a0667dc6611046435499ce92162ed8