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Scheduling Theory and Algorithms for Sustainable Manufacturing

This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models a...

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Format: Online
Jezik:angleščina
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2025
Teme:
product-driven
nervousness
schedule
planning
intelligent product
agent-based model
holonic manufacturing system
slime mold algorithm
fair scheduling
Bernoulli mapping
reverse learning
Cauchy mutation
heuristics
scheduling algorithms
constraint satisfaction problems
resource allocation
co-activity conflict mitigation
many-objective optimization
ideal stock optimization
sustainable supply chain
stock management
cost-effective logistics
photovoltaic sets
multi-criteria decision making
micro solar generation
generation optimisation
sustainable scheduling
fleet of drones
maximizing the environmental benefit
polynomial-time algorithm
bibliometric analysis
production scheduling
reinforcement learning
parallel machine scheduling problem
ore hauling equipment
mathematical model
mining industry
disruption handling
machine breakage
part input sequencing
FMS scheduling
dynamic scheduling
reactive scheduling
flexible job shop
scheduling
energy savings
make-span
two-level MILP
remanufacturing
circular economy
machine learning
data-driven models
sustainability
n/a
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics
Online dostop:ONIX_20250812T095121_9783725831647_59
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Izvleček:This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models and algorithms for different sustainability issues are proposed to optimize energy consumption and achieve environmental benefits and resilience, as well as demonstrate how to reduce the cost of installing photovoltaic systems, organize sustainable inventory management, etc.

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