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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 online resource (348 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
advanced manufacturing
anthropocentric design ARENA®, time study artificial intelligence assembly assembly supply chain assessment assessment model awareness Best-Worst Method BPMN business process management cloud platform collaborative robotics complexity indicators concept disambiguation concept investigation customer's perception cyber-physical production systems cyber-physical systems deep learning digital twin e-business modelling energy efficient operation field study hierarchical clustering human factors human-centered design human-machine interaction human-robot collaboration India industry 4.0 Industry 4.0 infeasible configurations Internet of Things knowledge discovery latent semantic analysis logistics 4.0 LSP Lifecycle Model machine learning manufacturing performance manufacturing process model manufacturing sustainability manufacturing system material handling systems MATLAB-Simulink Max-plus Algebra negative complexity Operator 4.0 overall equipment effectiveness physical ergonomics plant factory positive complexity product platform Quality Function Deployment similarity simulation small and medium sized enterprise small and medium sized enterprises small and medium-sized enterprises smart logistics smart manufacturing smart technologies SME SMEs stochastic event sustainability sustainable agriculture sustainable methodologies technology adoption model testing criteria virtual quality management |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557625503321 |
Rauch Erwin
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| 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 / Wen-Hsien Tsai
| Modelling and Analysis of Sustainability Related Issues in New Era / Wen-Hsien Tsai |
| 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 |
9783039210251
3039210254 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346841303321 |
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Tsai Wen-Hsien
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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