In other words, adjusting the BIM intervals during
the schedule of elective projects is a successful method
for decreasing the waiting time in emergency projects.
Although, the cost of this success is paid by longer
makespan (finishing the schedule later) and increasing
the number of unscheduled elective projects, when this
method is compared by ordinary scheduling of elective
projects. Decreasing the waiting time for emergency
surgeries is a very important result because of the
responsibility of the hospitals in saving lives. On the
other hand, this is considered that this success is
obtained while all the ORs are utilized for serving the
elective surgeries. In such a way, the profit-making
aspect of the ORs is also considered. These results are
obtained when arrival rate of emergency surgeries is
supposed a normal rate of 20 percent of the number of
elective surgeries. However, when this rate increases
significantly and hospital encounters lots of emergency
surgery referrals, dedicating some ORs to emergencies
In this paper, we introduced a new way of implementing
the method of adjusting the BIM intervals for project
scheduling model and this is our main contribution. We
examined our method with the real data from a
Norwegian hospital. This method is successful for
decreasing the waiting times of emergency projects for
inserting to the schedule of elective projects. However,
this method increases the number of unscheduled
elective projects that is the drawback of this method.
The importance of decreasing the waiting time in
emergency projects without dedicating any OR to
emergency projects and withdrawing this OR from
serving elective projects can be a sufficient reason for
making this method attractive for OR managers. We
propose using this method in surgery units with very
high-profit ORs and low rate of emergency arrivals.
In this research, we suppose that after the arrival of
any surgery referral, an expert based on his or her
previously experiments determines the feasible modes
for activities and their duration times. Failure of
resources and unpredictable unavailability of resources
and changing the duration of activity modes are not
considered in this paper. As future work, we suggest
covering more uncertainties in this model.
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