Author ORCID Identifier
Date Available
12-8-2017
Year of Publication
2017
Document Type
Master's Thesis
Degree Name
Master of Science in Mechanical Engineering (MSME)
College
Engineering
Department/School/Program
Mechanical Engineering
Advisor
Dr. Wei Li
Co-Director of Graduate Studies
Dr. Fazleena Badurdeen
Abstract
The operating room (OR) is accountable for most hospital admissions and is one of the most cost and work intensive areas in the hospital. From recent trends, we discover an unexpected parallel increase in expenditure and waiting time. Therefore, improving OR planning has become obligatory, particularly regarding utilization, and service level. Significant challenges in OR planning are the high variations in demand, processing times of surgical specialties, the trade-off between the objectives, and control of OR performance in long-term. Our model provides OR configurations at a strategical level of OR planning to minimize the tradeoff between the utilization and service level accounting for variation in both demand and processing times of surgical specialties. An adaptive control scheme is proposed to aid OR managers to maintain the OR performance within the prescribed controllable limits. Our model is validated using a simulation of demand and processing time data of surgical services at University of Kentucky Health Care.
Digital Object Identifier (DOI)
https://doi.org/10.13023/ETD.2017.494
Recommended Citation
Gunna, Vivek Reddy, "ADAPTIVE MULTI-OBJECTIVE OPERATING ROOM PLANNING WITH STOCHASTIC DEMAND AND CASE TIMES" (2017). Theses and Dissertations--Mechanical Engineering. 108.
https://uknowledge.uky.edu/me_etds/108
