PhD grants : Planning patient's pathways in outpatient cares (MIPTIS)
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ORGANISATION NAMEUniversity of Tours
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ORGANISATION COUNTRYFrance
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FUNDING TYPEFundingMobility Incoming
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DEADLINE DATE30/04/2021
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RESEARCH FIELDProfessions and applied sciences
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CAREER STAGEFirst Stage Researcher (R1) (Up to the point of PhD)
Description
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Keywords
Operations research, Optimisation, Healthcare, Patient's pathways, Scheduling
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Profile and skills required
- Master Degree in Computer Sciences/Applied mathematics
- Strong knowledge in algorithmics
- Notions in Operations Research : mathematical models, metaheuristics, multi-criteria optimisation, scheduling, ...
- Knowledge in programming (C, C++, Java)
- Be confident in English
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Project description
In outpatient cares, patients undergo a series of medical procedures in order to be diagnosed and treated. This series of medical procedures is clearly defined and requires many human and material resources. The scheduling of these procedures is very complex as they often share many resources and should be able to fit undepredicted real-time events. The scheduling must provide a robust and flexible planning for each resource and for each patient while satisfying many constraints such as availability of resources, precedence, delay between procedures, urge and others.
The PhD thesis will consist in a bibliographical study of scheduling problems related to healtcare and to resource-constrained project scheduling problem (RCPSP). Then, the PhD student will propose a mathematical model based on a real-case study and on the bibliographical study. The main work of the PhD will then be to design, implement and experiment optimisation methods to solve efficiently the scheduling problem while insuring to get robust solutions able to face unpredicted events.
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References
Ahmadi-Javid, A., Jalali, Z. & K. J. Klassen, 2017. Outpatient appointment systems in healthcare: A review of optimization studies, European Journal of Operational Research, 258, 3–34 ;
Apergi, L. A., Baras, J. S., Golden, B. L., & Wood, K. E. (2020). An optimization model for multi-appointment scheduling in an outpatient cardiology setting. Operations Research for Health Care, 26, 100267.;
Gartner, D., & Kolisch, R. 2014. Scheduling the hospital-wide flow of elective patients. European Journal of Operational Research, 233(3), 689-699. ;
Marynissen, J., & Demeulemeester, E. (2019). Literature review on multi-appointment scheduling problems in hospitals. European Journal of Operational Research, 272(2), 407-419.;
Parizi, M. S., & Ghate, A. 2016. Multi-class, multi-resource advance scheduling with no-shows, cancellations and overbooking. Computers & Operations Research, 67, 90-101.
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