In this thesis we address a number of challenging problems related to
health care logistics. These problems are motivated by hospital man-
agers who collaborated in the research, and the results are applied at
their hospitals. The general results and solution approaches presented
in this thesis are also valid in other hospital settings.
To position the research we review quantitative health care literature
to examine the extent to which models encompass multiple hospital
departments and account for department-to-department interactions.
We provide a general overview of the relationships which exist between
major hospital departments and describe how these relationships are
accounted for by researchers. Our review of literature found that re-
searchers often confine models to single departments due to system
complexity and the uncertain nature of patient flows (Chapter 2). Us-
ing and developing techniques from queueing theory, mathematical
programming, and simulation, we demonstrate how these character-
istics can be coped with by solving multiple strategic, tactical, and
operational problems faced by our partner hospitals.
Using queueing theory we model the complex and uncertain relation-
ship between capacity, case mix and patient mix. With parameters