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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Bibliographische Detailangaben
Format: E-Book
Sprache:Englisch
Veröffentlicht: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Schlagworte:
agent-based simulation
and control
assignment problem
automated parcel lockers
biased-randomized heuristics
clustering
composite priority rules
container terminal
discrete event simulation
distribution networks
dockless bike-sharing system
e-groceries
Earth Sciences, Geography, Environment, Planning
facility location Problems
fuzzy logic
genetic algorithm
Geography
guidance
heuristics
horizontal cooperation
horizontal transportation
hybrid flow shop
hybrid modeling
hyper-parameter optimization
last-mile delivery
liner network design
local search
location routing problem
logistics
machine learning
machine qualifications
maritime transportation
Markovian queueing network
matlab-simulink
meta-heuristic
Monte Carlo simulation
navigation
neighborhood search
neural networks
nonlinear-flight-mechanics
omnichannel retail stores
optimization
optimization simulation
pick-up and delivery
Reference, Information and Interdisciplinary subjects
relocation
Research and information: general
scheduling
scrap
shortest processing time
simheuristics
simulation
simulation-based optimization
stochastic project scheduling
synchronization
system dynamics
tabu search
uncertainty
unequal demand
vehicle routing problem
warehouse
weather uncertainty
ISBN:3036512616, 9783036512600, 9783036512617, 3036512608
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:3036512616
9783036512600
9783036512617
3036512608
DOI:10.3390/books978-3-0365-1261-7