Multi-man–robot collaborative disassembly line balancing optimization via mixed-integer programming and genetic Jaya algorithm
Tao Yin,
No information about this author
Jiapeng Wu,
No information about this author
Jungang Cao
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et al.
Journal of Cleaner Production,
Journal Year:
2025,
Volume and Issue:
unknown, P. 144695 - 144695
Published: Jan. 1, 2025
Language: Английский
Optimising work-sharing in disassembly line balancing problems: a multi-cycle strategy
Min Li,
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Binghai Zhou
No information about this author
International Journal of Production Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 28
Published: April 10, 2025
Language: Английский
A Green and Efficient Disassembly Line Balancing with Human-Robot Collaboration and Destructive Disassembly
Published: Jan. 1, 2025
Language: Английский
A multi-objective adaptive memetic algorithm and engineering application for a double-floor layout problem with separate human and vehicle transport elevators
Dan Ji,
No information about this author
Zeqiang Zhang,
No information about this author
Minjie Zhao
No information about this author
et al.
Engineering Applications of Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
155, P. 111010 - 111010
Published: May 12, 2025
Language: Английский
Integrated multi-manned disassembly line balancing problem with reverse supply chain design strategies by considering lot sizing
Journal of Industrial and Production Engineering,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 24
Published: Nov. 3, 2024
Due
to
strict
governmental
regulations,
manufacturers
have
increasingly
focused
on
recovering
end-of-life
(EoL)
products
through
disassembly
lines,
aiming
achieve
economic
benefits
while
addressing
the
environmental
aspects
of
supply
chain
sustainability.
Disassembly
line
balancing
(DLB)
has
become
a
key
challenge
for
enterprises
seeking
perform
environmentally
conscious
manufacturing
as
part
closed-loop
policy.
Therefore,
designing
sustainable
requires
analyzing
interrelated
problems
by
focusing
strategic-,
tactical-,
and
operational-level
decisions
simultaneously.
This
study
introduces
an
integrated
problem
that
addresses
multi-manned
DLB,
lot
sizing,
reverse
(RSC)
design
problems.
To
mathematically
represent
problem,
generic
optimization
model
is
developed
minimize
overall
costs,
including
station
opening,
inventory
holding,
shortage,
transportation,
collection
center/facility
opening
costs.
several
research
questions
explore
impact
distribution
strategies
(centralized
decentralized)
DLB
size
within
context
design.
Language: Английский