I
received
my
BASc
in
Chemical
Engineering
from
the
University
of
Waterloo in
2015.
The
aim
in
my
research
is
to
study
scheduling
optimization
methodologies
and
applicationofvarious
Mixed
Integer
Linear
Programming
(MILP)
formulations
for
industrial
sized
problems.
We
are
currently
working
with
an
industrial
partner
in
the
analytical
services
sector.
In
particular,
I
have
explored,
and
will
continue
to
look
for
ways
to
effectively
handle
various
type
of
uncertainties
that
may
become
realized,
for
example,
uncertainties
inprocessing
capacities,
that
can
be
explicitly
considered
in
the
optimal
schedule.
There
are
several
methods
that
can
be
implemented
to
handle
uncertainties
for
optimization,
such
as
stochastic
optimization,
and
robust
optimization;
however,
implementation
of
those
methods
can
significantly
increase
computational
time,
and/or
result
in
overly
conservative
solutions.
In
our
group,
we
are
also
actively
looking
for
ways
to
solve
deterministic
versions
of
these
scheduling
problems
through
implementation
of
efficient
discretization
of
the
multiple
time
scales
of
a
non-uniform
discrete
time
formulation,
and
smart
design
of
the
objective
function.
Being
able
to
solve
deterministic
scheduling
models
faster
will
allow
us
to
add
more
features
to
the
model
such
as
consideration
of
uncertainties,
and
simultaneous
scheduling
of
both
machine
and
human
resources.
Thesis:
Solution
Strategies
in
Short-term
Scheduling
for
Multitasking
Multipurpose
Plants
