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 | ||
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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 | ||
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