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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or...

Повний опис

Збережено в:
Формат: Online
Мова:Англійська
Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2022
Предмети:
flexible job-shop scheduling problem
combinatorial optimization
genetic algorithm
candidate order-based genetic algorithm
multichromosome
facility layout
optimization
metaheuristic algorithm
cell formation
design of experiments
digital platforms
decision-making
insurance
Baltic
customization
personalization
assembly line balancing
group technology
cluster algorithm
bottleneck station
output rate
tolerance allocation
machine and process selection
heuristic approach
univariate search method
whale optimization algorithm
selective assembly
overrunning clutch assembly
harmony search algorithm
Hastelloy X
turning
cutting force
surface roughness
liquid nitrogen
grass-hooper optimization algorithm
moth-flame optimization algorithm
hybrid bat algorithm
optimization problem
the distributed assembly permutation flowshop scheduling problem
variable neighborhood descent
multi-criteria assessment
cell manufacturing design
operational complexity
makespan
production line balancing rate
electrochemical machining (ECM)
material removal rate (MRR)
nickel presence (NP)
grey wolf optimizer (GWO)
moth-flame optimization algorithm (MFO)
Monel 400 alloys
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Онлайн доступ:ONIX_20220706_9783036545097_83
Теги: Додати тег
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