Determination of production capacity for open-pit coal mines under uncertainty: A model based on economies of scale
Wang Shua,
No information about this author
Bo Cao,
No information about this author
Runcai Bai
No information about this author
et al.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0312130 - e0312130
Published: Jan. 9, 2025
The
determination
of
optimal
production
capacity
for
open-pit
mines
is
influenced
by
various
economic
and
technical
factors
highly
susceptible
to
uncertainties.
To
effectively
address
the
impact
uncertainty
on
planning,
this
study
develops
a
planning
model
coal
mines,
based
theory
economies
scale
incorporating
multiple
constraints.
A
novel
method
proposed
quantify
propagate
uncertainties
key
control
factors,
alongside
comprehensive
analysis
framework
total
revenue.
Using
large-scale
mine
as
case
study,
relationships
calculation
tables
are
provided.
Based
this,
mathematical
expression
revenue
under
influence
formulated,
range
calculated.
application
demonstrated
through
revealing
that
in
costs
prices
(-13.05%,
+27.68%)
(-10.79%,
+10.79%)
respectively.
Subsequently,
risk-tolerant
recommendations
proposed,
mitigating
determination.
Language: Английский
Human reliability analysis in maintenance and repair operations of mining trucks: A Bayesian network approach
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(15), P. e34765 - e34765
Published: July 18, 2024
Highlights•Factors
influencing
the
behavior
of
maintenance
technicians
were
identified.•A
Bayesian
network
approach
estimates
a
human
error
probability
11
%.•Job-related
and
organizational
factors
significantly
impact
occurrence.•Maintenance
scheduling
repetitive
tasks
are
critical
nodes
contributing
to
HEs.AbstractFailures
in
mining
machinery
can
abruptly
halt
mineral
production
operations,
emphasizing
indispensable
role
humans
repair
operations.
Addressing
errors
is
crucial
for
ensuring
safe
reliable
system,
particularly
during
activities
where
accidents
frequently
occur.
This
paper
focuses
on
evaluating
Human
Reliability
(HR)
enhance
activity
implementation
effectiveness.
Given
challenge
limited
uncertain
data
errors,
this
study
aims
estimate
using
networks
(BN)
under
parameters.
Applying
assess
HR
operations
trucks
at
Golgohar
Iron
Ore
Mine
Iran,
identifies
occurrence
fuzzy
environment.
The
results
highlight
key
impacting
offer
insights
into
estimating
with
minimal
intervention.
Language: Английский
A Model for Determining the Dependability of Continuous Subsystems in Coal Mines Using the Fuzzy Logic Approach
Published: July 24, 2024
This
study
presents
a
unique
model
for
assessing
the
dependability
of
continuous
parts
combined
systems
in
open-pit
mining
through
application
fuzzy
logic.
Continuous
sub-systems
as
part
system
coal
exploitation
surface
mines
have
basic
function
ensuring
safe
operation,
high
capacity
with
reliability
and
low
costs.
These
subsystems
are
usually
thermal
power
plant's
supply
ensure
stable
fuel
supply.
The
integrates
various
independent
partial
indicators
into
an
expert
specifically
designed
evaluating
these
systems.
It
deconstructs
complex
parameter
distinct
indicators:
reliability,
maintainability,
logistical
support.
then
integrated
using
composition
(max-min
composition).
Historical
data
from
2018
to
2023
is
utilized
alongside
provide
retrospective
analysis
dependability,
serving
validate
model's
effectiveness.
What
sets
this
apart
conventional
approaches
its
consideration
practical
indicators,
thereby
obviating
need
extensive
long-term
monitoring
collection
portray
system's
status
accurately
over
time.
serves
valuable
tool
assisting
decision-makers
operations,
facilitating
planning,
control,
selection
maintenance
strategies
consistent
production
cost
reduction.
Designed
quick
assessment,
relies
on
judgments
assessments
determine
efficiently.
Language: Английский
A Model for Determining the Dependability of Continuous Subsystems in Coal Mines Using the Fuzzy Logic Approach
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(17), P. 7947 - 7947
Published: Sept. 6, 2024
This
study
presents
a
unique
model
for
assessing
the
dependability
of
continuous
parts
combined
systems
in
open-pit
mining
through
application
fuzzy
logic.
Continuous
sub-systems
as
part
system
coal
exploitation
surface
mines
have
basic
function
ensuring
safe
operation,
high
capacity
with
reliability,
and
low
costs.
These
subsystems
are
usually
thermal
power
plant’s
supply
ensure
stable
fuel
supply.
The
integrates
various
independent
partial
indicators
into
an
expert
specifically
designed
evaluating
these
systems.
It
deconstructs
complex
parameter
distinct
indicators:
maintainability,
logistical
support.
then
integrated
using
composition
(max-min
composition).
Historical
data
from
2018
to
2023
utilized
alongside
provide
retrospective
analysis
dependability,
serving
validate
model’s
effectiveness.
What
sets
this
apart
conventional
approaches
is
its
consideration
practical
indicators,
thereby
obviating
need
extensive
long-term
monitoring
collection
portray
system’s
status
accurately
over
time.
serves
valuable
tool
assisting
decision-makers
operations,
facilitating
planning,
control,
selection
maintenance
strategies
consistent
production
cost
reduction.
Designed
quick
assessment,
relies
on
judgments
assessments
determine
efficiently.
Language: Английский
A Teamwork-Based Protocol for a Holistic Approach to Selecting a Sustainable Mine Dewatering Management Plan
Dragoljub Bajić,
No information about this author
Sanja Bajić,
No information about this author
Jelena Trivan
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10424 - 10424
Published: Nov. 28, 2024
The
primary
objective
of
the
protocol
is
to
establish
and
develop
several
scientific
methodological
procedures
applicable
design
selection
a
suitable
mine
dewatering
management
plan.
A
significant
challenge
contribution
research
lies
in
initial
hypothesis,
which
posits
feasibility
organizing
multidisciplinary
team
collaboratively
determine
optimal
solution
for
long-term
dewatering.
Protection
against
groundwater
highly
complex
hydrogeological
challenge,
particularly
mining
operations.
Mines
are
inherently
dynamic
systems,
constantly
expanding
both
horizontally
vertically,
from
very
beginning
mining,
also
reaching
depths.
Given
inherent
uncertainty
geologic
such
as
ore
deposits,
entire
process
requires
continuous
“learning”
hierarchical
problem-solving.
Addressing
these
complexities
involved
forming
experts,
leveraging
their
knowledge
experience,
well
based
on
applied
mathematics
geosciences
engineering,
numerical
modeling
simulation,
fuzzy
optimization
decision
analysis.
These
circumstances
necessitated
continual
adjustment
evolving
operating
conditions
prompted
development
effective
planning
mineral
protection
groundwater.
Such
generates
alternative
solutions
considers
individual
characteristics.
Additionally,
it
defines
analyzes
multiple
criteria
evaluating
selecting
method
that
ensures
decision-making.
methods
constitute
holistic
system,
represented
by
single
protocol,
includes
an
interdisciplinary
approach
creating
sustainable
strategies.
Language: Английский