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Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics

To address the increasingly prominent environmental pollution and energy shortage, many countries devote themselves to green manufacturing and logistics in which some optimization problems are common and challenging, e.g., production planning and scheduling, supply chain management, location and all...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2023
Fag:
auto parts supply chain
sustainable logistics
robust optimization
location-inventory-routing optimization
multi-period demand
emergency material distribution
multi-period
uncertain demand
perishable materials
whale optimization algorithm
differential evolution algorithm
AGV scheduling
flexible manufacturing cell
AGV charging
genetic algorithm
municipal solid waste
waste classification
waste logistics
waste collection and transportation
IoT
cloud-edge collaboration
synchronization
demanufacturing
disassembly planning
asynchronous parallel disassembly
mixed integer linear programming
exact algorithm
hybrid flowshop scheduling
energy efficiency
consistent sublots
collaborative coevolutionary algorithm
variable neighborhood descent
reverse logistics
remanufacturing
EOL product
combinational optimization
cutting-tool degradation
machine tool turning-on/off schedule
hybrid energy-saving strategy
multi-objective optimization
flexible job shop scheduling
express packaging
green reverse logistics
reduce carbon emissions
K-means algorithm
bi-objective model
NSGA-II algorithm
multi-objective
mixed-model
two-sided
disassembly line balancing
partial destructive mode
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
Online adgang:ONIX_20230623_9783036575704_138
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Summary:To address the increasingly prominent environmental pollution and energy shortage, many countries devote themselves to green manufacturing and logistics in which some optimization problems are common and challenging, e.g., production planning and scheduling, supply chain management, location and allocation problems, vehicle routing problem, resource optimization, and pricing strategies. The present reprint contains all of the articles accepted and published in the Special Issue "Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics" from the MDPI Mathematics journal. This Special Issue is focused on collecting recent mathematical modeling and intelligent optimization research in green manufacturing and logistics, including operations research, game theory, (meta)heuristics, machine learning, knowledge-driven, digital twin, and so on. We hope that the scientific results presented in this reprint will serve as a valuable source of documentation and inspiration to those researching the modeling and optimization of green manufacturing and sustainable logistics.

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