Simulation-Optimization in Logistics, Transportation, and SCM

Transportation, logistics, and supply chain systems and networks constitute one of the pillars of modern economies and societies. From sustainable traffic management in smart cities or air transportation to green and socially responsible logistics practices, many enterprises and governments around t...

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Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2023
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collection Directory of Open Access Books
description Transportation, logistics, and supply chain systems and networks constitute one of the pillars of modern economies and societies. From sustainable traffic management in smart cities or air transportation to green and socially responsible logistics practices, many enterprises and governments around the world have to make decisions that affect the efficiency of these complex systems. Typically, optimization algorithms are employed to deal with these challenges, and simulation approaches are utilized when considering scenarios under uncertainty. However, better results might be achieved by hybridizing both optimization algorithms with simulation techniques to deal with real-life transportation, logistics, and SCM challenges, which often are large-scale and NP-hard problems under uncertainty conditions. Hence, simheuristic algorithms (combining metaheuristics with simulation) as well as other simulation optimization approaches constitute an effective way to support decision makers in such complex scenarios. This reprint presents a collection of selected articles on simulation optimization in transportation, logistics, and supply chain management. The reprint is strongly connected to the topics covered in the Winter Simulation Conference (WSC) track on logistics, transportation, and SCM, which includes a stream in simheuristic algorithms as well.
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spelling doab-20.500.12854ir-981292024-03-28T03:31:34Z Simulation-Optimization in Logistics, Transportation, and SCM Juan, Angel A. Rabe, Markus Goldsman, David Faulin, Javier omnichannel retail stores vehicle routing problem pick-up and delivery biased-randomized heuristics simheuristics scheduling uncertainty discrete event simulation hybrid flow shop scrap local search tabu search machine qualifications clustering shortest processing time maritime transportation liner network design synchronization weather uncertainty optimization simulation discrete-event simulation simulation-based optimization assignment problem neighborhood search warehouse nonlinear-flight-mechanics neural networks guidance, navigation, and control machine learning model matlab-simulink stochastic project scheduling genetic algorithm composite priority rules agent-based simulation horizontal cooperation e-groceries optimization simulation logistics distribution networks container terminal meta-heuristic horizontal transportation hyper-parameter optimization hybrid modeling system dynamics facility location Problems Monte Carlo simulation automated parcel lockers last-mile delivery location routing problem heuristics fuzzy logic dockless bike-sharing system Markovian queueing network relocation unequal demand thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Transportation, logistics, and supply chain systems and networks constitute one of the pillars of modern economies and societies. From sustainable traffic management in smart cities or air transportation to green and socially responsible logistics practices, many enterprises and governments around the world have to make decisions that affect the efficiency of these complex systems. Typically, optimization algorithms are employed to deal with these challenges, and simulation approaches are utilized when considering scenarios under uncertainty. However, better results might be achieved by hybridizing both optimization algorithms with simulation techniques to deal with real-life transportation, logistics, and SCM challenges, which often are large-scale and NP-hard problems under uncertainty conditions. Hence, simheuristic algorithms (combining metaheuristics with simulation) as well as other simulation optimization approaches constitute an effective way to support decision makers in such complex scenarios. This reprint presents a collection of selected articles on simulation optimization in transportation, logistics, and supply chain management. The reprint is strongly connected to the topics covered in the Winter Simulation Conference (WSC) track on logistics, transportation, and SCM, which includes a stream in simheuristic algorithms as well. 2023-03-07T16:35:33Z 2023-03-07T16:35:33Z 2023 book ONIX_20230307_9783036512600_139 9783036512600 9783036512617 https://directory.doabooks.org/handle/20.500.12854/98129 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6902 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1261-7 10.3390/books978-3-0365-1261-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036512600 9783036512617 270 Basel open access
spellingShingle omnichannel retail stores
vehicle routing problem
pick-up and delivery
biased-randomized heuristics
simheuristics
scheduling
uncertainty
discrete event simulation
hybrid flow shop
scrap
local search
tabu search
machine qualifications
clustering
shortest processing time
maritime transportation
liner network design
synchronization
weather uncertainty
optimization simulation
discrete-event simulation
simulation-based optimization
assignment problem
neighborhood search
warehouse
nonlinear-flight-mechanics
neural networks
guidance, navigation, and control
machine learning
model
matlab-simulink
stochastic project scheduling
genetic algorithm
composite priority rules
agent-based simulation
horizontal cooperation
e-groceries
optimization
simulation
logistics
distribution networks
container terminal
meta-heuristic
horizontal transportation
hyper-parameter optimization
hybrid modeling
system dynamics
facility location Problems
Monte Carlo simulation
automated parcel lockers
last-mile delivery
location routing problem
heuristics
fuzzy logic
dockless bike-sharing system
Markovian queueing network
relocation
unequal demand
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Simulation-Optimization in Logistics, Transportation, and SCM
title Simulation-Optimization in Logistics, Transportation, and SCM
title_full Simulation-Optimization in Logistics, Transportation, and SCM
title_fullStr Simulation-Optimization in Logistics, Transportation, and SCM
title_full_unstemmed Simulation-Optimization in Logistics, Transportation, and SCM
title_short Simulation-Optimization in Logistics, Transportation, and SCM
title_sort simulation optimization in logistics transportation and scm
topic omnichannel retail stores
vehicle routing problem
pick-up and delivery
biased-randomized heuristics
simheuristics
scheduling
uncertainty
discrete event simulation
hybrid flow shop
scrap
local search
tabu search
machine qualifications
clustering
shortest processing time
maritime transportation
liner network design
synchronization
weather uncertainty
optimization simulation
discrete-event simulation
simulation-based optimization
assignment problem
neighborhood search
warehouse
nonlinear-flight-mechanics
neural networks
guidance, navigation, and control
machine learning
model
matlab-simulink
stochastic project scheduling
genetic algorithm
composite priority rules
agent-based simulation
horizontal cooperation
e-groceries
optimization
simulation
logistics
distribution networks
container terminal
meta-heuristic
horizontal transportation
hyper-parameter optimization
hybrid modeling
system dynamics
facility location Problems
Monte Carlo simulation
automated parcel lockers
last-mile delivery
location routing problem
heuristics
fuzzy logic
dockless bike-sharing system
Markovian queueing network
relocation
unequal demand
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet omnichannel retail stores
vehicle routing problem
pick-up and delivery
biased-randomized heuristics
simheuristics
scheduling
uncertainty
discrete event simulation
hybrid flow shop
scrap
local search
tabu search
machine qualifications
clustering
shortest processing time
maritime transportation
liner network design
synchronization
weather uncertainty
optimization simulation
discrete-event simulation
simulation-based optimization
assignment problem
neighborhood search
warehouse
nonlinear-flight-mechanics
neural networks
guidance, navigation, and control
machine learning
model
matlab-simulink
stochastic project scheduling
genetic algorithm
composite priority rules
agent-based simulation
horizontal cooperation
e-groceries
optimization
simulation
logistics
distribution networks
container terminal
meta-heuristic
horizontal transportation
hyper-parameter optimization
hybrid modeling
system dynamics
facility location Problems
Monte Carlo simulation
automated parcel lockers
last-mile delivery
location routing problem
heuristics
fuzzy logic
dockless bike-sharing system
Markovian queueing network
relocation
unequal demand
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url ONIX_20230307_9783036512600_139