MODELS AND OPTIMIZATION FOR ELECTIVE SURGERY SCHEDULING UNDER UNCERTAINTY CONSIDERING PATIENT HEALTH CONDITION

The managerial aspects to run a healthcare system are becoming increasingly important for patient safety. More than one patients are competing each other to be treated using limited medical resources in a healthcare system. The limited medical resources include surgeons, physicians, anesthesiologists, nurses, operating rooms, wards, etc. Therefore, patient safety is related to how to run a healthcare system with the limited resources.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Industrial Engineering

Year

2016

Author dc:creator

• Eun, Joonyup

Contributors dc:contributor

• Yuehwern Yih
• Seokcheon Lee
• Andrew Lu Liu
• Masha Shunko

• Elective Surgery Scheduling
• Patient Health Condition
• Sample Average Approximation
• Tabu Search

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1383

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2599