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Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
Autore Rauch Erwin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (348 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato latent semantic analysis
virtual quality management
concept investigation
concept disambiguation
knowledge discovery
sustainable methodologies
small and medium sized enterprises
material handling systems
simulation
ARENA®, time study
overall equipment effectiveness
manufacturing performance
Industry 4.0
manufacturing sustainability
manufacturing process model
business process management
hierarchical clustering
similarity
BPMN
human factors
cyber-physical systems
cyber-physical production systems
anthropocentric design
Operator 4.0
human–machine interaction
energy efficient operation
manufacturing system
stochastic event
digital twin
Max-plus Algebra
MATLAB-Simulink
advanced manufacturing
industry 4.0
SME
technology adoption model
assembly supply chain
sustainability
complexity indicators
testing criteria
SMEs
e-business modelling
LSP Lifecycle Model
Quality Function Deployment
Best-Worst Method
Internet of Things
India
awareness
small and medium-sized enterprises
assessment model
collaborative robotics
physical ergonomics
human-robot collaboration
human-centered design
assembly
small and medium sized enterprise
positive complexity
negative complexity
infeasible configurations
product platform
customer’s perception
assessment
field study
smart manufacturing
cloud platform
artificial intelligence
machine learning
deep learning
smart logistics
logistics 4.0
smart technologies
sustainable agriculture
plant factory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557625503321
Rauch Erwin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modelling and Analysis of Sustainability Related Issues in New Era
Modelling and Analysis of Sustainability Related Issues in New Era
Autore Tsai Wen-Hsien
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (350 p.)
Soggetto non controllato carbon reduction
PID controller
time study
VIKOR
life cycle cost analysis (LCCA)
Activity-Based Costing (ABC)
LS-ARIMAXi-ECM model
DANP (DEMATEL based ANP)
multi-attribute decision model (MADM)
artificial intelligence
white noise
OECD
integrated mathematical programming
Activity-Based Standard Costing (ABSC)
qualitative-empirical study
energy efficiency
multi-attribute value theory (MAVT)
e-commerce platform
decision making trial and evaluation laboratory (DEMATEL)
colored noise
carbon tax policy
material flow cost accounting
Manufacturing Execution System (MES)
cap & trade
manufacturing sustainability
sustainability
OEE
mathematical programming
aluminum-alloy wheel industry
sustainable development
return policy
small and medium enterprises
decision making
Enterprise Resource Planning (ERP)
tire industry
footwear industry
carbon tax
electrical appliances
niche inheritance
carbon emission
social sustainability
material handling systems
small and medium-sized enterprises
product-mix decision
internal control
economic growth
active suspension
Industry 4.0
corporate social responsibility
greenhouse gas
carbon emissions
succession plan
digital transformation
corporate social responsibility (CSR)
fuel consumption
agent-based control architecture
sustainability performance
activity-based costing (ABC)
corporate characteristics
firm value
industry 4.0
digital platforms
ISO14051
theory of constraints (TOC)
long- and short-term
NSGAII
CO2 emissions
family capital
green production
industrial internet of things
multi-objective optimization
family business
exogenous variables
ISBN 3-03921-025-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346841303321
Tsai Wen-Hsien  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui