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  5. Optimizing Cash Flows and Minimizing Simultaneous Turnovers in Operating Room Scheduling
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Optimizing Cash Flows and Minimizing Simultaneous Turnovers in Operating Room Scheduling

Date Issued
May 1, 2016
Author(s)
Shukla, Mohit  
Advisor(s)
Xueping Li
Additional Advisor(s)
Oleg Shylo
Mingzhou Jin
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/39889
Abstract

Currently, the scheduling of surgical suites follows either an open booking or block booking framework. Under block booking, medical departments (or surgeons) that provide certain types of services (e.g. ophthalmology, orthopedics, cardiology) are assigned fixed blocks of time that are used to divide access to the operating rooms (ORs) among different specialties. Two integer-programming based methods of generating block schedules are investigated in this research. The first approach focuses on optimizing cash flows, an area not studied previously within the OR scheduling domain. Results indicate that while there is some utility of this approach in improving the liquidity of a healthcare facility, its contribution towards increasing overall revenues is marginal. The second approach aims to minimize simultaneous turnovers of operating rooms. Although reduction in turnover times is a frequently studied area in literature, the solution presented here is novel in its attempt to minimize the occurrences of turnovers in two or more rooms at the same time, which places a strain on shared resources and leads to delays in planned start times of procedures. Results for this approach are promising in reduction of turnover times and consequently, workload on resources required to perform turnovers. Both approaches begin with the study of existing schedules to derive key insights into the chosen target parameters and then propose alternative schedules to optimize the aforementioned objectives. The proposed methods are designed to be minimally disruptive so as to remain feasible in real life scenarios.

Subjects

OR

Block Scheduling

Integer Programming

Disciplines
Operational Research
Degree
Master of Science
Major
Industrial Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Mohit_Shukla_Thesis.pdf

Size

1.25 MB

Format

Adobe PDF

Checksum (MD5)

ac765fbe0e99f5bd3f66d50ef28d883c

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