2021 IEEE Symposium Series on Computational Intelligence (SSCI),
Год журнала:
2023,
Номер
unknown, С. 1753 - 1758
Опубликована: Дек. 5, 2023
Dynamic
Berth
Allocation
Problem
(DBAP)
is
an
essential
problem
in
container
terminal
operations.
Most
studies
focus
on
discrete
or
continuous
berths
DBAP.
However,
affected
by
the
geographical
conditions,
mixture
of
and
which
are
called
hybrid
often
appear
real
port
terminals.
Moreover,
arrival
time
vessels
fluctuant
due
to
influence
environmental
factors.
To
solve
such
a
Hybrid
(DHBAP)
under
vessels'
delay,
this
study
develops
proactive-reactive
approach.
Specifically,
we
establish
mixed-integer
programming
model
with
buffer
as
proactive
strategy
obtain
baseline
schedule.
Then,
propose
berth
reactive
(HBRS)
adjust
schedule
for
that
delayed.
get
better
solution
short
time,
genetic
algorithm
designed.
We
verify
effectiveness
proposed
HBRS
comparing
it
most
commonly
used
right-shift
strategy.
Experimental
results
show
longer
is,
robustness
but
total
vessel
terminals
will
also
increase.
Compared
strategy,
can
allocation
plan
similar
shorter
IEEE Access,
Год журнала:
2024,
Номер
12, С. 14194 - 14210
Опубликована: Янв. 1, 2024
To
ensure
the
stable
and
safe
operations,
this
paper
presents
a
modeling
framework
of
dynamic
risk
monitoring
for
chemical
processes.
Multi-source
process
data
are
firstly
denoised
by
Wavelet
Transform
(WT).
The
Spearman's
rank
correlation
coefficient
(SRCC)
these
is
calculated
based
on
an
appropriate
time
step
window.
An
optimal
threshold
further
applied
to
transform
SRCC
matrix
into
adjacency
matrix.
Accordingly,
model
complex
networks
(CNs)
can
be
established
characterizing
massive,
disordered,
nonlinear
data.
Network
structure
entropy
particularly
introduced
single
series
relative
risk.
illustrate
its
validity,
diesel
hydrofining
unit
Tennessee
Eastman
Process
(TEP)
selected
as
test
cases.
Results
show
that
proposed
effectively
reasonably
monitor
risks
processes
in
real
time.
Maritime Policy & Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Фев. 4, 2024
With
increasing
cargo
and
intensifying
competition,
port
differentiation
needs
to
be
considered
for
expansion,
investment
other
decisions,
as
the
effectiveness
of
same
strategies
may
different
ports.
Under
concept
hinterland,
this
paper
tries
distinguish
large
ports
by
distance
correlation
with
their
hinterland.
According
evolution
history
hinterland's
spatial
structure,
only
continent
level
or
more
advantaged
are
uncorrelated
its
hinterland
in
distance.
Following
idea,
Granger
causality
test
is
applied
differentiate
This
uses
Nighttime
Light
(NTL)
data
represent
human
activities
higher
accuracy
statistical
consistency,
rather
than
common
economic
indicators
such
GDP.
In
case
European
surrounding
ports,
has
differentiated
container
throughput
(TP)
liner
shipping
connectivity
(LSC).
result,
divided
presence
absence
port-hinterland
correlation,
additionally
these
correlations
into
4
groups.
Ports
can
copycat
each
division,
because
relationships
among
divisions
not
same.
PLoS ONE,
Год журнала:
2024,
Номер
19(11), С. e0311536 - e0311536
Опубликована: Ноя. 22, 2024
The
underground
logistics
system
is
a
relatively
new
concept
for
container
transportation,
which
designed
to
reduce
the
congestion
and
pollution
on
road
caused
by
sharply
growing
number
of
collections
distributions
containers
in
port
cities.
This
paper
considers
where
some
vehicles
(ULVs)
are
marshaled
used
transport
between
two
terminals
through
deep
tunnel.
Automated
guided
(AGVs)
horizontal
transportation
above-ground
yard
terminals,
cranes
(YCs)
transfer
vertically
shaft
linking
To
guarantee
efficiency
this
system,
joint
scheduling
problem
YCs
ULVs
proposed
formulated
as
an
integer
programming
model
minimize
total
waiting
time
ULVs.
Taking
marshaling
into
consideration,
Genetic
Algorithm
developed
solve
problem.
Numerical
experimental
results
prove
algorithm,
different
strategies
compared.
Our
research
provides
scientific
foundation
developing
systems
large
2021 IEEE Symposium Series on Computational Intelligence (SSCI),
Год журнала:
2023,
Номер
unknown, С. 1753 - 1758
Опубликована: Дек. 5, 2023
Dynamic
Berth
Allocation
Problem
(DBAP)
is
an
essential
problem
in
container
terminal
operations.
Most
studies
focus
on
discrete
or
continuous
berths
DBAP.
However,
affected
by
the
geographical
conditions,
mixture
of
and
which
are
called
hybrid
often
appear
real
port
terminals.
Moreover,
arrival
time
vessels
fluctuant
due
to
influence
environmental
factors.
To
solve
such
a
Hybrid
(DHBAP)
under
vessels'
delay,
this
study
develops
proactive-reactive
approach.
Specifically,
we
establish
mixed-integer
programming
model
with
buffer
as
proactive
strategy
obtain
baseline
schedule.
Then,
propose
berth
reactive
(HBRS)
adjust
schedule
for
that
delayed.
get
better
solution
short
time,
genetic
algorithm
designed.
We
verify
effectiveness
proposed
HBRS
comparing
it
most
commonly
used
right-shift
strategy.
Experimental
results
show
longer
is,
robustness
but
total
vessel
terminals
will
also
increase.
Compared
strategy,
can
allocation
plan
similar
shorter
