Chemotherapy patient scheduling and uncertainty
Abstract
Chemotherapy scheduling is a complex problem due to several factors such as cyclic nature of chemotherapy treatment plans, highly variable resource requirements (nurse, chair, pharmacy) and uncertain number of patients due to same day cancellations and-unscheduled add-ons. To have a better understanding of a chemotherapy clinic workflow, the necessity of stochastic modeling is studied through a simulation model of the real system by means of sensitivity analysis to see what components of the real system impose practically significant changes in the performance of the system when they encompass variability. The outcome of this research is to distinguish the deterministic and stochastic elements with respect to their level of variability. Additionally studying flow of the patients in chemotherapy brings a new set of important constraints to the current deterministic model that adjusts the flexibility of scheduling.
Degree
M.S.I.E.
Advisors
Wan, Purdue University.
Subject Area
Industrial engineering|Health care management
Off-Campus Purdue Users:
To access this dissertation, please log in to our
proxy server.