Variability and Waiting Times Chapter 8 (Max 25 Points): Consider the HBS OM Simulation Intensive Care Unit (ICU) enviro

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Variability and Waiting Times Chapter 8 (Max 25 Points):
Consider the HBS OM Simulation Intensive Care Unit (ICU)
environment in Scenario 1 with 4 beds and the following parameter
values: Mean Inter-arrival Time = 5 hours, Mean Length of Stay = 16
hours, Std.Dev. of Inter-arrival Time = 4 hours, Std.Dev. of Length
of Stay = 8 hours.
(10 points) Calculate the “theoretical” average waiting time in
queue using the formula for Tq from (
*10 points) You are told that the simulation estimate of the
average waiting time in the queue for this data set is 281 minutes
or 4 hours 41 minutes. How does this simulation estimate compare
with your answer in 1 above? Provide three sets of reasons for any
differences between the answer from the Tq formula and the
simulation estimate. (A set of reasons is a general category, e.g.,
the simulation computer code has a bug, that covers several reasons
like the software was not correctly written, it was not compiled /
run correctly, the model is not valid, etc., all of which relate to
coding errors.) Which average waiting time is more correct, the
formula or the simulation, and why?
(5 points) Answer ANY ONE of the following: What options would
you consider for improving the waiting time performance of this
particular hospital ICU? How might each specific improvement be
implemented or lead to improvement?
List three key lessons specific to this HBS OM Simulation and
discuss how each of these lessons are different from those in other
parts of the Variability and Waiting Lines course materials in
Modules 3-4.