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Advanced manufacturing
| Advanced manufacturing |
| Pubbl/distr/stampa | Burlington, Ont., : Clifford/Elliot, 1999-[2008?] |
| Descrizione fisica | 1 online resource |
| Disciplina | 338.4/767/097105 |
| Soggetto topico |
Manufacturing industries
Manufacturing industries - Technological innovations |
| Soggetto genere / forma | Periodicals. |
| Classificazione | cci1icc |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996197742103316 |
| Burlington, Ont., : Clifford/Elliot, 1999-[2008?] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in manufacturing and industrial engineering : select proceedings of ICAPIE 2019 / / Ranganath M. Singari, Kaliyan Mathiyazhagan, Harish Kumar, editor
| Advances in manufacturing and industrial engineering : select proceedings of ICAPIE 2019 / / Ranganath M. Singari, Kaliyan Mathiyazhagan, Harish Kumar, editor |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVI, 1211 p. 528 illus., 417 illus. in color.) |
| Disciplina | 658.4013 |
| Collana | Lecture notes in mechanical engineering |
| Soggetto topico | Manufacturing industries - Technological innovations |
| ISBN | 981-15-8542-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Review on the Fabrication of Surface Composites via Friction Stir Processing and its Modeling using ANN -- A Statistical Study of Consumer Perspective Towards The Supply Chain Management of Food Delivery Platforms -- Design of an Auxiliary 3D Printed Soft Prosthetic Thumb -- Prediction of Material Removal Rate and Surface Roughness in CNC Turning of Delrin using various Regression techniques and Neural Networks and Optimization of Parameters using Genetic Algorithm -- Finding Accuracies of Various Machine Learning Algorithms by Classification of Pulsar Stars -- Fibre-Reinforced Composites and their Applications in Student Competitions: A Case Study. |
| Record Nr. | UNINA-9910483642303321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes / / Arturo Realyvásquez Vargas, Suchismita Satapathy, and Jorge Luis García Alcaraz, editors
| Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes / / Arturo Realyvásquez Vargas, Suchismita Satapathy, and Jorge Luis García Alcaraz, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2024] |
| Descrizione fisica | 1 online resource (369 pages) |
| Disciplina | 338.064 |
| Soggetto topico |
Manufacturing industries - Technological innovations
Sustainable engineering |
| ISBN | 3-031-46708-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Innovation, Safe and Smart Sustainable Manufacturing - A Bibliometric Review -- Review of the Challenges in Implementing Industry 4.0 Technologies in the Context of Sustainable Supply Chains -- Impact of Human Error Prevention and Automation on Social Sustainability -- The Barriers Related to Smart Manufacturing Systems and an Application for the Selection of Innovation Management Model: The Case of Samsun Province Study -- Predictor Model for Six Sigma Deployment and Its Sustainable Benefits -- Assessment and Evaluation of the Effects of Hazardous Noise Produced by the Manufacturing Industry on the Workers -- Assessment of Industrial Workers' Discomfort Level by Simulation Annealing -- Using the WASPAS and SA Techniques to Analyze Risks in a Noisy Environment Qualitatively - A Case Study of Different Manufacturing Industries Near Bhubaneswar -- Need of Ergonomics for Autonomous Vehicles -- Design and Simulation of a Mechanical Device to Reduce the Ergonomic Postural Risk Levels of Workers During the Installation of Panelled Walls -- Identification and Classification of Design Attributes for a Product to Verify Ergonomic Factors in Office Chairs -- Food Safety and Tractability with IoT -- System Dynamic: An Intelligent Decision-Support System for Manufacturing Safety Intervention Program Management -- University-Industry Technology Transfer in Developing Countries for Smart Cities. |
| Record Nr. | UNINA-9910768163303321 |
| Cham, Switzerland : , : Springer, , [2024] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu
| Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu |
| Pubbl/distr/stampa | Zurich, Switzerland : , : TTP, , 2014 |
| Descrizione fisica | 1 online resource (479 p.) |
| Disciplina | 670 |
| Collana | Advanced Materials Research |
| Soggetto topico |
Production engineering
Manufacturing processes Manufacturing industries - Technological innovations |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-03826-416-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Engineering Solutions for Intensification of Production; Preface and Organizing Committee; Table of Contents; Chapter 1: Materials Science, Technology of Materials Processing and Chemical Engineering; A Study on Comparison of Mechanical, Thermal Properties of High Strength Structural Steels at High Temperature; Fabrication of 6.5wt%Si Composite Plate by Coat Casting and Hot Deformation Processes; Laser Compensation for Ceramics Accuracy Improvement of Selective Laser Sintering; Microstructural and Mechanical Characterization of Multipass Friction Stir Processed Al-Mg Alloy
Superplasticity and Superplastic Tensile Behaviour of AA5083Review Article: Mechanism of Resonant Enhancement of Gold- and Copper-Nanowires Arrays; Modeling a Compact Sintering Process Based on Biomass Fuels; Effect of SO2 on the Performance of LSCF Cathode; Microstructure Features of Ti-6Al-4V Alloy Deposited by Laser Direct Deposition; Preparation of Microencapsulated Phase Change Materials Using Surface Modification Method; Study on the 3D Pattern of Hole Wall in Drilling Carbon Fiber Reinforced Plastics Using Orthogonal Experiment Morphology and Mechanical Properties of Compatibilized β Nucleated Polypropylene/Polystyrene BlendsReview on Surface Failure Mode of Metallic Materials in Very High Cycle Fatigue Regime; Prolonged Anti-Inflammatory Activity of Topical Melatonin by Niosomal Encapsulation; Friction and Wear of Jatropha curcas Oil Using a Four Balls Tester; The New Fluidized Bed Thermo-Chemical Treatment in Chemically Active Powders - CFD Analysis of the Method; Study of the Relationship between Cutting Speed, Tool Wear and Machining Forces in Turning with Carbide Tool Study of the Relationship between Tool Wear and Surface Finish in Turning with Carbide ToolOptimization of Dinamics of Chemical Reactor; Influence of Emulsion on the Corrosion and Scaling on Pipelines of Cooling System Deep Coal Mine: A Experiment Study; Economic Life Evaluation of Wagon Side Frame Based on Durability Analysis; Chapter 2: Researches and Design of Machinery and Equipment for Industry; Tribological Prototype for Wear Tests on Pavement Surfaces; Stable Equilibrium Analysis and Simulation Considering Effect of Cutting Fluid Inside and Outside BTA Boring Bar Contribution of Magnetostriction to Transformer Core Vibration under DC BiasVibration Analysis of Motor Stator; Measurement of Residual Stresses in Molded Glass Lenses; Dynamic Characteristics of Vibrating Cone Crusher with Dual Exciters Considering Material Effects; Research on the Design of Transformer Energy-Saving Model; Giant Magnetostrictive Freezing Rain Sensor; Application Study on Multiple Acoustic Paths Intersection in Temperature Field Measurement; Strength Analysis of Towing Extending-Retracting Equipment Based on Dynamics and Statics Analysis on Strength of Dropping System Based on Dynamics and Statics |
| Record Nr. | UNINA-9910464392703321 |
| Zurich, Switzerland : , : TTP, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu
| Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu |
| Pubbl/distr/stampa | Zurich, Switzerland : , : TTP, , 2014 |
| Descrizione fisica | 1 online resource (479 p.) |
| Disciplina | 670 |
| Collana | Advanced Materials Research |
| Soggetto topico |
Production engineering
Manufacturing processes Manufacturing industries - Technological innovations |
| ISBN | 3-03826-416-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Engineering Solutions for Intensification of Production; Preface and Organizing Committee; Table of Contents; Chapter 1: Materials Science, Technology of Materials Processing and Chemical Engineering; A Study on Comparison of Mechanical, Thermal Properties of High Strength Structural Steels at High Temperature; Fabrication of 6.5wt%Si Composite Plate by Coat Casting and Hot Deformation Processes; Laser Compensation for Ceramics Accuracy Improvement of Selective Laser Sintering; Microstructural and Mechanical Characterization of Multipass Friction Stir Processed Al-Mg Alloy
Superplasticity and Superplastic Tensile Behaviour of AA5083Review Article: Mechanism of Resonant Enhancement of Gold- and Copper-Nanowires Arrays; Modeling a Compact Sintering Process Based on Biomass Fuels; Effect of SO2 on the Performance of LSCF Cathode; Microstructure Features of Ti-6Al-4V Alloy Deposited by Laser Direct Deposition; Preparation of Microencapsulated Phase Change Materials Using Surface Modification Method; Study on the 3D Pattern of Hole Wall in Drilling Carbon Fiber Reinforced Plastics Using Orthogonal Experiment Morphology and Mechanical Properties of Compatibilized β Nucleated Polypropylene/Polystyrene BlendsReview on Surface Failure Mode of Metallic Materials in Very High Cycle Fatigue Regime; Prolonged Anti-Inflammatory Activity of Topical Melatonin by Niosomal Encapsulation; Friction and Wear of Jatropha curcas Oil Using a Four Balls Tester; The New Fluidized Bed Thermo-Chemical Treatment in Chemically Active Powders - CFD Analysis of the Method; Study of the Relationship between Cutting Speed, Tool Wear and Machining Forces in Turning with Carbide Tool Study of the Relationship between Tool Wear and Surface Finish in Turning with Carbide ToolOptimization of Dinamics of Chemical Reactor; Influence of Emulsion on the Corrosion and Scaling on Pipelines of Cooling System Deep Coal Mine: A Experiment Study; Economic Life Evaluation of Wagon Side Frame Based on Durability Analysis; Chapter 2: Researches and Design of Machinery and Equipment for Industry; Tribological Prototype for Wear Tests on Pavement Surfaces; Stable Equilibrium Analysis and Simulation Considering Effect of Cutting Fluid Inside and Outside BTA Boring Bar Contribution of Magnetostriction to Transformer Core Vibration under DC BiasVibration Analysis of Motor Stator; Measurement of Residual Stresses in Molded Glass Lenses; Dynamic Characteristics of Vibrating Cone Crusher with Dual Exciters Considering Material Effects; Research on the Design of Transformer Energy-Saving Model; Giant Magnetostrictive Freezing Rain Sensor; Application Study on Multiple Acoustic Paths Intersection in Temperature Field Measurement; Strength Analysis of Towing Extending-Retracting Equipment Based on Dynamics and Statics Analysis on Strength of Dropping System Based on Dynamics and Statics |
| Record Nr. | UNINA-9910789104003321 |
| Zurich, Switzerland : , : TTP, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu
| Engineering solutions for intensification of production : selected, peer reviewed papers from the 2014 2nd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2014), January 20-21, 2014, Miami, State of Florida, USA / / edited by Dayun Xu |
| Pubbl/distr/stampa | Zurich, Switzerland : , : TTP, , 2014 |
| Descrizione fisica | 1 online resource (479 p.) |
| Disciplina | 670 |
| Collana | Advanced Materials Research |
| Soggetto topico |
Production engineering
Manufacturing processes Manufacturing industries - Technological innovations |
| ISBN | 3-03826-416-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Engineering Solutions for Intensification of Production; Preface and Organizing Committee; Table of Contents; Chapter 1: Materials Science, Technology of Materials Processing and Chemical Engineering; A Study on Comparison of Mechanical, Thermal Properties of High Strength Structural Steels at High Temperature; Fabrication of 6.5wt%Si Composite Plate by Coat Casting and Hot Deformation Processes; Laser Compensation for Ceramics Accuracy Improvement of Selective Laser Sintering; Microstructural and Mechanical Characterization of Multipass Friction Stir Processed Al-Mg Alloy
Superplasticity and Superplastic Tensile Behaviour of AA5083Review Article: Mechanism of Resonant Enhancement of Gold- and Copper-Nanowires Arrays; Modeling a Compact Sintering Process Based on Biomass Fuels; Effect of SO2 on the Performance of LSCF Cathode; Microstructure Features of Ti-6Al-4V Alloy Deposited by Laser Direct Deposition; Preparation of Microencapsulated Phase Change Materials Using Surface Modification Method; Study on the 3D Pattern of Hole Wall in Drilling Carbon Fiber Reinforced Plastics Using Orthogonal Experiment Morphology and Mechanical Properties of Compatibilized β Nucleated Polypropylene/Polystyrene BlendsReview on Surface Failure Mode of Metallic Materials in Very High Cycle Fatigue Regime; Prolonged Anti-Inflammatory Activity of Topical Melatonin by Niosomal Encapsulation; Friction and Wear of Jatropha curcas Oil Using a Four Balls Tester; The New Fluidized Bed Thermo-Chemical Treatment in Chemically Active Powders - CFD Analysis of the Method; Study of the Relationship between Cutting Speed, Tool Wear and Machining Forces in Turning with Carbide Tool Study of the Relationship between Tool Wear and Surface Finish in Turning with Carbide ToolOptimization of Dinamics of Chemical Reactor; Influence of Emulsion on the Corrosion and Scaling on Pipelines of Cooling System Deep Coal Mine: A Experiment Study; Economic Life Evaluation of Wagon Side Frame Based on Durability Analysis; Chapter 2: Researches and Design of Machinery and Equipment for Industry; Tribological Prototype for Wear Tests on Pavement Surfaces; Stable Equilibrium Analysis and Simulation Considering Effect of Cutting Fluid Inside and Outside BTA Boring Bar Contribution of Magnetostriction to Transformer Core Vibration under DC BiasVibration Analysis of Motor Stator; Measurement of Residual Stresses in Molded Glass Lenses; Dynamic Characteristics of Vibrating Cone Crusher with Dual Exciters Considering Material Effects; Research on the Design of Transformer Energy-Saving Model; Giant Magnetostrictive Freezing Rain Sensor; Application Study on Multiple Acoustic Paths Intersection in Temperature Field Measurement; Strength Analysis of Towing Extending-Retracting Equipment Based on Dynamics and Statics Analysis on Strength of Dropping System Based on Dynamics and Statics |
| Record Nr. | UNINA-9910812877103321 |
| Zurich, Switzerland : , : TTP, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Factories of the future : technological advancements in the manufacturing industry / / edited by Chandan Deep Singh and Harleen Kaur
| Factories of the future : technological advancements in the manufacturing industry / / edited by Chandan Deep Singh and Harleen Kaur |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc. and Scrivener Publishing LLC, , [2023] |
| Descrizione fisica | 1 online resource (305 pages) |
| Disciplina | 670 |
| Soggetto topico |
Manufacturing industries - Technological innovations
Manufacturing industries - Management |
| ISBN |
1-119-86521-2
1-119-86520-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Factories of the Future -- 1.0 Introduction -- 1.1 Factory of the Future -- 1.1.1 Plant Structure -- 1.1.2 Plant Digitization -- 1.1.3 Plant Processes -- 1.1.4 Industry of the Future: A Fully Integrated Industry -- 1.2 Current Manufacturing Environment -- 1.3 Driving Technologies and Market Readiness -- 1.4 Connected Factory, Smart Factory, and Smart Manufacturing -- 1.4.1 Potential Benefits of a Connected Factory -- 1.5 Digital and Virtual Factory -- 1.5.1 Digital Factory -- 1.5.2 Virtual Factory -- 1.6 Advanced Manufacturing Technologies -- 1.6.1 Advantages of Advanced Manufacturing Technologies -- 1.7 Role of Factories of the Future (FoF) in Manufacturing Performance -- 1.8 Socio-Econo-Techno Justification of Factories of the Future -- References -- Chapter 2 Industry 5.0 -- 2.1 Introduction -- 2.1.1 Industry 5.0 for Manufacturing -- 2.1.1.1 Industrial Revolutions -- 2.1.2 Real Personalization in Industry 5.0 -- 2.1.3 Industry 5.0 for Human Workers -- 2.2 Individualized Human-Machine-Interaction -- 2.3 Industry 5.0 is Designed to Empower Humans, Not to Replace Them -- 2.4 Concerns in Industry 5.0 -- 2.5 Humans Closer to the Design Process of Manufacturing -- 2.5.1 Enablers of Industry 5.0 -- 2.6 Challenges and Enablers (Socio-Econo-Techno Justification) -- 2.6.1 Social Dimension -- 2.6.2 Governmental and Political Dimension -- 2.6.3 Interdisciplinarity -- 2.6.4 Economic Dimension -- 2.6.5 Scalability -- 2.7 Concluding Remarks -- References -- Chapter 3 Machine Learning - A Survey -- 3.1 Introduction -- 3.2 Machine Learning -- 3.2.1 Unsupervised Machine Learning -- 3.2.2 Variety of Unsupervised Learning -- 3.2.3 Supervised Machine Learning -- 3.2.4 Categories of Supervised Learning -- 3.3 Reinforcement Machine Learning -- 3.3.1 Applications of Reinforcement Learning.
3.3.2 Dimensionality Reduction -- 3.4 Importance of Dimensionality Reduction in Machine Learning -- 3.4.1 Methods of Dimensionality Reduction -- 3.4.1.1 Principal Component Analysis (PCA) -- 3.4.1.2 Linear Discriminant Analysis (LDA) -- 3.4.1.3 Generalized Discriminant Analysis (GDA) -- 3.5 Distance Measures -- 3.6 Clustering -- 3.6.1 Algorithms in Clustering -- 3.6.2 Applications of Clustering -- 3.6.3 Iterative Distance-Based Clustering -- 3.7 Hierarchical Model -- 3.8 Density-Based Clustering -- 3.8.1 DBSCAN -- 3.8.2 OPTICS -- 3.9 Role of Machine Learning in Factories of the Future -- 3.10 Identification of the Probable Customers -- 3.11 Conclusion -- References -- Chapter 4 Understanding Neural Networks -- 4.1 Introduction -- 4.2 Components of Neural Networks -- 4.2.1 Neurons -- 4.2.2 Synapses and Weights -- 4.2.3 Bias -- 4.2.4 Architecture of Neural Networks -- 4.2.5 How Do Neural Networks Work? -- 4.2.6 Types of Neural Networks -- 4.2.6.1 Artificial Neural Network (ANN) -- 4.2.6.2 Recurrent Neural Network (RNN) -- 4.2.6.3 Convolutional Neural Network (CNN) -- 4.2.7 Learning Techniques in Neural Network -- 4.2.8 Applications of Neural Network -- 4.2.9 Advantages of Neural Networks -- 4.2.10 Disadvantages of Neural Network -- 4.2.11 Limitations of Neural Networks -- 4.3 Back-Propagation -- 4.3.1 Working of Back-Propagation -- 4.3.2 Types of Back-Propagation -- 4.3.2.1 Static Back-Propagation -- 4.3.2.2 Recurrent Back-Propagation -- 4.3.2.3 Advantages of Back-Propagation -- 4.3.2.4 Disadvantages of Back-Propagation -- 4.4 Activation Function (AF) -- 4.4.1 Sigmoid Active Function -- 4.4.1.1 Advantages -- 4.4.1.2 Disadvantages -- 4.4.2 RELU Activation Function -- 4.4.2.1 Advantages -- 4.4.2.2 Disadvantages -- 4.4.3 TANH Active Function -- 4.4.3.1 Advantages -- 4.4.3.2 Disadvantages -- 4.4.4 Linear Function -- 4.4.5 Advantages -- 4.4.6 Disadvantages. 4.4.7 Softmax Function -- 4.4.8 Advantages -- 4.5 Comparison of Activation Functions -- 4.6 Machine Learning -- 4.6.1 Applications of Machine Learning -- 4.7 Conclusion -- References -- Chapter 5 Intelligent Machining -- 5.1 Introduction -- 5.2 Requirements for the Developments of Intelligent Machining -- 5.3 Components of Intelligent Machining -- 5.3.1 Intelligent Sensors -- 5.3.1.1 Features of Intelligent Sensors -- 5.3.1.2 Functions of Intelligent Sensors -- 5.3.1.3 Data Acquisition and Management System to Process and Store Signals -- 5.3.2 Machine Learning and Knowledge Discovery Component -- 5.3.3 Database Knowledge Discovery -- 5.3.4 Programmable Logical Controller (PLC) -- 5.3.5 Role of Intelligent Machining for Implementation of Green Manufacturing -- 5.3.6 Information Integration via Knowledge Graphs -- 5.4 Conclusion -- References -- Chapter 6 Advanced Maintenance and Reliability -- 6.1 Introduction -- 6.2 Condition-Based Maintenance -- 6.3 Computerized Maintenance Management Systems (CMMS) -- 6.4 Preventive Maintenance (PM) -- 6.5 Predictive Maintenance (PdM) -- 6.6 Reliability Centered Maintenance (RCM) -- 6.6.1 RCM Principles -- 6.7 Condition Monitoring and Residual Life Prediction -- 6.8 Sustainability -- 6.8.1 Role of Sustainability in Manufacturing -- 6.9 Concluding Remarks -- References -- Chapter 7 Digital Manufacturing -- 7.1 Introduction -- 7.2 Product Life Cycle and Transition -- 7.3 Digital Thread -- 7.4 Digital Manufacturing Security -- 7.5 Role of Digital Manufacturing in Future Factories -- 7.6 Digital Manufacturing and CNC Machining -- 7.6.1 Introduction to CNC Machining -- 7.6.2 Equipment's Used in CNC Machining -- 7.6.3 Analyzing Digital Manufacturing Design Considerations -- 7.6.4 Finishing of Part After Machining -- 7.7 Additive Manufacturing -- 7.7.1 Objective of Additive Manufacturing -- 7.7.2 Design Consideration. 7.8 Role of Digital Manufacturing for Implementation of Green Manufacturing in Future Industries -- 7.9 Conclusion -- References -- Chapter 8 Artificial Intelligence in Machine Learning -- 8.1 Introduction -- 8.2 Case Studies -- 8.3 Advantages of A.I. in ML -- 8.4 Artificial Intelligence - Basics -- 8.4.1 History of A.I. -- 8.4.2 Limitations of Human Mind -- 8.4.3 Real Artificial Intelligence -- 8.4.4 Artificial Intelligence Subfields -- 8.4.5 The Positives of A.I. -- 8.4.6 Machine Learning -- 8.4.7 Machine Learning Models -- 8.4.8 Neural Networks -- 8.4.9 Constraints of Machine Learning -- 8.4.10 Different Kinds of Machine Learning -- 8.5 Application of Artificial Intelligence -- 8.5.1 Expert Systems -- 8.5.2 Natural Language Processing -- 8.5.3 Speech Recognition -- 8.5.4 Computer Vision -- 8.5.5 Robotics -- 8.6 Neural Networks (N.N.) Basics -- 8.6.1 Application of Neural Networks -- 8.6.2 Architecture of Neural Networks -- 8.6.3 Working of Artificial Neural Networks -- 8.7 Convolution Neural Networks -- 8.7.1 Working of Convolutional Neural Networks -- 8.7.2 Overview of CNN -- 8.7.3 Working of CNN -- 8.8 Image Classification -- 8.8.1 Concept of Image Classification -- 8.8.2 Type of Learning -- 8.8.3 Features of Image Classification -- 8.8.4 Examples of Image Classification -- 8.9 Text Classification -- 8.9.1 Text Classification Examples -- 8.9.2 Phases of Text Classification -- 8.9.3 Text Classification API -- 8.10 Recurrent Neural Network -- 8.10.1 Type of Recurrent Neural Network -- 8.11 Building Recurrent Neural Network -- 8.12 Long Short Term Memory Networks (LSTMs) -- References -- Chapter 9 Internet of Things -- 9.1 Introduction -- 9.2 M2M and Web of Things -- 9.3 Wireless Networks -- 9.4 Service Oriented Architecture -- 9.5 Complexity of Networks -- 9.6 Wireless Sensor Networks -- 9.7 Cloud Computing -- 9.8 Cloud Simulators. 9.9 Fog Computing -- 9.10 Applications of IoT -- 9.11 Research Gaps and Challenges in IoT -- 9.12 Concluding Remarks -- References -- Chapter 10 Product Life Cycle -- 10.1 Introduction -- 10.2 Product Lifecycle Management (PLM) -- 10.2.1 Why Product Lifecycle Management? -- 10.2.2 Biological Product Lifecycle Stages -- 10.2.3 An Example Related to Stages in Product Lifecycle Management -- 10.2.4 Advanced Stages in Product Lifecycle Management -- 10.2.5 Strategies of Product Lifecycle Management -- 10.3 High and Low-Level Skimming Strategies/Rapid or Slow Skimming Strategies -- 10.3.1 Considerations in High and Low-Level Pricing -- 10.3.2 Penetration Pricing Strategy -- 10.3.3 Example for Penetration Pricing Strategy -- 10.3.4 Considerations in Penetration Pricing -- 10.4 How Do Product Lifecycle Management Work? -- 10.5 Application Process of Product Lifecycle Management (PLM) -- 10.6 Role of Unified Modelling Language (UML) -- 10.6.1 UML Activity Diagrams -- 10.7 Management of Product Information Throughout the Entire Product Lifecycle -- 10.8 PDM System in an Organization -- 10.8.1 Benefits of PDM -- 10.8.2 How Does the PDM Work? -- 10.8.3 The Services of Product Data Management -- 10.9 System Architecture -- 10.9.1 Process of System Architecture -- 10.10 Concepts of Model-Based System Engineering (MBSE) -- 10.10.1 Benefits of Model-Based System Engineering (MBSE) -- 10.11 Challenges of Post-COVID 19 in Manufacturing Sector -- 10.12 Recent Updates in Product Life Cycle -- 10.13 Conclusion -- References -- Chapter 11 Case Studies -- 11.1 Case Study in a Two-Wheeler Manufacturing Industry -- 11.1.1 Company Strategy -- 11.1.2 Initiatives Towards Technological Advancement -- 11.1.3 Management Initiatives -- 11.1.4 Sustainable Development Goals -- 11.1.5 Growth Framework with Customer Needs -- 11.1.6 Vision for the Future. 11.2 Case Study in a Four-Wheeler Manufacturing Unit. |
| Record Nr. | UNINA-9910830556703321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc. and Scrivener Publishing LLC, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Global Leadership in Advanced Manufacturing Act of 2019 : report of the Committee on Commerce, Science, and Transportation on S. 1427
| Global Leadership in Advanced Manufacturing Act of 2019 : report of the Committee on Commerce, Science, and Transportation on S. 1427 |
| Pubbl/distr/stampa | Washington : , : U.S. Government Publishing Office, , 2020 |
| Descrizione fisica | 1 online resource (ii, 23 pages) |
| Collana | Report / 116th Congress, 2d session, Senate |
| Soggetto topico |
Manufacturing industries - Technological innovations - United States
Competition Manufacturing industries - Technological innovations |
| Soggetto genere / forma | Legislative materials. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Global Leadership in Advanced Manufacturing Act of 2019 |
| Record Nr. | UNINA-9910715023603321 |
| Washington : , : U.S. Government Publishing Office, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industry 4. 0 : technologies, applications, and challenges / / Aydin Azizi and Reza Vatankhah Barenji
| Industry 4. 0 : technologies, applications, and challenges / / Aydin Azizi and Reza Vatankhah Barenji |
| Autore | Azizi Aydin |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 658.5 |
| Collana | Emerging Trends in Mechatronics |
| Soggetto topico |
Manufacturing industries - Technological innovations
Industry 4.0 |
| ISBN | 981-19-2012-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Industry 4.0 Concepts, Technologies, and Its Ecosystem -- 1 Introduction -- 1.1 The First Industrial Revolution (1765) -- 1.2 The Second Industrial Revolution (1870) -- 1.3 The Third Industrial Revolution (1969) -- 1.4 The Fourth Industrial Revolution -- 1.5 Industry 4.0 Design Principles -- 2 Technology Pillars of Industry 4.0 -- 2.1 Internet of Things -- 2.2 Cyber-Physical Systems -- 2.3 Cloud Computing -- 2.4 Artificial Intelligence -- 2.5 Service-Oriented Architecture -- 2.6 Capability and Competency -- 3 Industry 4.0 Ecosystem -- 4 Enterprise Architecture in Industry 4.0 Era -- 5 Industry 4.0: Challenges and Opportunities -- 5.1 Challenges and Issues of Implementing Industry 4.0 -- 5.2 Opportunities of Industry 4.0 -- 5.3 Strengths, Weaknesses, Opportunities, and Threats of Industry 4.0 -- 6 Conclusion -- References -- Cyber-Physical Systems-Manufacturing Applications -- 1 Introduction -- 2 Requirements for CPS -- 3 Cyber-Physical Systems in the Context of Industry 4.0 -- 3.1 Industry 4.0 -- 4 Embedded Systems Foundations of Cyber-Physical Systems -- 5 Cyber-Physical Systems Security: Limitations, Issues, and Future Trends -- 6 Challenges and Vision -- 6.1 Cyber-Physical Systems and Design Challenges -- 6.2 Challenges for Wireless CPS -- 6.3 Remote Container Monitoring -- 6.4 Multilayer CPS Design -- 6.5 Energy Efficiency -- 7 Cyber-Physical Systems' Applications -- 7.1 Cyber-Physical System (CPS) Architecture for Real-Time Water Sustainability Management in Manufacturing Industry -- 7.2 Cyber-Physical-Based PAT (CPbPAT) Framework for Pharma 4.0 -- 8 Conclusions -- References -- Internet of Things: Success Stores and Challenges in Manufacturing -- 1 Introduction -- 2 Structure of Iot -- 2.1 Identification -- 2.2 Sensing -- 2.3 Communication -- 2.4 Computation -- 2.5 Services -- 2.6 Semantics.
3 Layers and Components Iot -- 3.1 Sensing Layer -- 3.2 Network Layer -- 3.3 Application Layer -- 4 Applications in Iot -- 4.1 Smart Cities -- 4.2 Health Care -- 4.3 Smart Homes and Smart Buildings -- 4.4 Mobility and Transportation -- 4.5 Smart Agriculture -- 4.6 Wearables -- 4.7 Smart Retail and Supply Chains -- 5 Iot in Manufacturing -- 5.1 IoT and Industry 4.0 -- 5.2 Usage of IoT -- 5.3 Manufacturing Applications of IoT -- 6 Challenges -- 6.1 Socio-Ethical Considerations -- 6.2 Technological Limits -- 6.3 IoT Security -- 6.4 Legislation and Governance -- 7 The Future of Iot -- 7.1 Internet of Everything (Ioe) -- 7.2 Sensor as a Service -- 8 Conclusion -- References -- Blockchain Technology and Its Role in Industry 4.0 -- 1 Introduction to Blockchain Technology -- 2 Blockchain Architecture -- 3 Blockchain Transaction Process -- 4 Blockchain Infrastructures -- 5 Consensus Algorithms -- 5.1 Approaches to Consensus -- 6 Characteristics of Blockchain Technology -- 7 Advantages and Challenges of Blockchain Technology -- 7.1 Challenges of Blockchain Technology -- 7.2 Disadvantages of Blockchain Technology -- 8 How to Determine Whether You Need Blockchain Technology -- 9 Blockchain Technology Applications in Industries -- 9.1 Financial Industry -- 9.2 Healthcare Industry -- 9.3 Logistics Industry -- 9.4 Manufacturing Industry -- 9.5 Energy Industry -- References -- Blockchain Technology Application in Manufacturing -- 1 Introduction -- 2 Application of Blockchain -- 2.1 Smart Contract -- 2.2 Private Network -- 3 Case Studies -- 3.1 Trust System for Cloud Manufacturing -- 3.2 Supply Chain Application -- 4 Conclusion -- References -- Virtual Manufacturing, Technologies, and Applications -- 1 Introduction -- 2 Definition of Virtual Manufacturing -- 3 Paradigms of Virtual Manufacturing -- 3.1 Virtual Manufacturing Technology. 4 Technical Support for Virtual Manufacturing -- 4.1 Virtual Reality -- 4.2 Augmented Reality -- 4.3 Mixed Reality -- 4.4 X-Reality -- 5 Applications of VR -- 5.1 Health Care -- 5.2 Education -- 6 Virtual Manufacturing System Applications -- 7 Advantages, Disadvantages, Challenges, and Future of VR -- 7.1 Advantages -- 7.2 Disadvantages -- 7.3 Challenges -- 7.4 Future -- 8 Conclusion -- References -- Digital Twin and Its Applications -- 1 Introduction to Digital Twin -- 2 Digital Twin Architecture -- 2.1 Digital Twin-The Fundamentals -- 2.2 Digital Twin Architecture -- 2.3 How Does Digital Twin Works? -- 3 Digital Twins Tools and Technologies -- 3.1 Digital Twin Technologies -- 3.2 Product Design Process Based on Digital Twin -- 3.3 The Future, Present, and Past of Digital Twin Technology -- 4 Digital Twin in Industry 4.0 -- 5 Digital Twin Applications -- 6 Digital Twin Challenges -- 6.1 Benefits of Digital Twin -- References -- Big Data Analytics in Industry 4.0 -- 1 Introduction -- 1.1 History of Big Data -- 1.2 What Is Big Data? -- 1.3 Application Areas of Big Data -- 2 Big Data Characteristics -- 2.1 Volume -- 2.2 Velocity -- 2.3 Variety -- 2.4 Static and Streaming Data -- 2.5 Formats of Data -- 3 Big Data Analytics -- 3.1 An Example of Big Data Analytics Architecture for Industry 4.0 -- 3.2 Methods and Relations -- 3.3 Big Data Tools -- 3.4 Applications to Industry 4.0 -- 3.5 Computational Aspects of Big Data -- 3.6 Opportunities and Challenges of Big Data Analytics -- References -- Blockchain Technology in Supply Chain Management: Challenge and Future Perspectives -- 1 Introduction -- 2 Supply Chain Definition and Structure -- 2.1 Maximizing the Surplus -- 2.2 Maximizing Consumer Satisfaction -- 3 Managing Information Flow -- 4 Materials Flow in Supply Chain -- 5 Problems -- 5.1 Information Flow Problems -- 5.2 Track and Tracing. 6 Blockchain and Distributer Ledger -- 6.1 Data Layer -- 6.2 Network Layer -- 6.3 Consensus Layer -- 6.4 Incentive Layer -- 6.5 Contract Layer -- 6.6 Application Layer -- 7 Types of Blockchain -- 7.1 Public Blockchain -- 7.2 Private Blockchain -- 8 Discussion and Implications -- 9 Conclusion -- References -- Toward Pharma 4.0 in Drug Discovery -- 1 Introduction -- 2 Drug Discovery -- 2.1 The Drug Discovery Process -- 3 Beyond Traditional Applications -- 3.1 AI and Machine Learning in Drug Discovery -- 3.2 Chemoinformatics -- 4 Pharma 4.0 for Drug Discovery -- 5 Conclusion -- References -- What Military 4.0 IS: Applications and Challenges -- 1 Introduction -- 2 Application of Industry 4.0 in Military Sector -- 2.1 Logistic -- 2.2 Track and Tracing Systems -- 3 Conclusion -- References -- Toward Industry 5.0: Cognitive Cyber-Physical System -- 1 Introduction -- 2 Industrial Revolution -- 2.1 Industry 5.0 Evolution Drivers -- 3 Cyber-Physical System -- 4 Applications of Cognitive Cyber-Physical System -- 5 Cognitive Cyber-Physical Systems (C-CPS) -- 6 Key Cognitive Functions in C-CPS -- 6.1 Attention in C-CPS -- 6.2 Perception in C-CPS -- 6.3 Memory and C-CPS -- 6.4 Problem-Solving in C-CPS -- 6.5 Knowledge Representation and Reasoning in C-CPS -- 7 Cognitive Cyber-Physical System Features -- 8 Discussion -- 9 Conclusion -- References. |
| Record Nr. | UNISA-996546840303316 |
Azizi Aydin
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Industry 4. 0 : technologies, applications, and challenges / / Aydin Azizi and Reza Vatankhah Barenji
| Industry 4. 0 : technologies, applications, and challenges / / Aydin Azizi and Reza Vatankhah Barenji |
| Autore | Azizi Aydin |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 658.5 |
| Collana | Emerging Trends in Mechatronics |
| Soggetto topico |
Manufacturing industries - Technological innovations
Industry 4.0 |
| ISBN | 981-19-2012-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Industry 4.0 Concepts, Technologies, and Its Ecosystem -- 1 Introduction -- 1.1 The First Industrial Revolution (1765) -- 1.2 The Second Industrial Revolution (1870) -- 1.3 The Third Industrial Revolution (1969) -- 1.4 The Fourth Industrial Revolution -- 1.5 Industry 4.0 Design Principles -- 2 Technology Pillars of Industry 4.0 -- 2.1 Internet of Things -- 2.2 Cyber-Physical Systems -- 2.3 Cloud Computing -- 2.4 Artificial Intelligence -- 2.5 Service-Oriented Architecture -- 2.6 Capability and Competency -- 3 Industry 4.0 Ecosystem -- 4 Enterprise Architecture in Industry 4.0 Era -- 5 Industry 4.0: Challenges and Opportunities -- 5.1 Challenges and Issues of Implementing Industry 4.0 -- 5.2 Opportunities of Industry 4.0 -- 5.3 Strengths, Weaknesses, Opportunities, and Threats of Industry 4.0 -- 6 Conclusion -- References -- Cyber-Physical Systems-Manufacturing Applications -- 1 Introduction -- 2 Requirements for CPS -- 3 Cyber-Physical Systems in the Context of Industry 4.0 -- 3.1 Industry 4.0 -- 4 Embedded Systems Foundations of Cyber-Physical Systems -- 5 Cyber-Physical Systems Security: Limitations, Issues, and Future Trends -- 6 Challenges and Vision -- 6.1 Cyber-Physical Systems and Design Challenges -- 6.2 Challenges for Wireless CPS -- 6.3 Remote Container Monitoring -- 6.4 Multilayer CPS Design -- 6.5 Energy Efficiency -- 7 Cyber-Physical Systems' Applications -- 7.1 Cyber-Physical System (CPS) Architecture for Real-Time Water Sustainability Management in Manufacturing Industry -- 7.2 Cyber-Physical-Based PAT (CPbPAT) Framework for Pharma 4.0 -- 8 Conclusions -- References -- Internet of Things: Success Stores and Challenges in Manufacturing -- 1 Introduction -- 2 Structure of Iot -- 2.1 Identification -- 2.2 Sensing -- 2.3 Communication -- 2.4 Computation -- 2.5 Services -- 2.6 Semantics.
3 Layers and Components Iot -- 3.1 Sensing Layer -- 3.2 Network Layer -- 3.3 Application Layer -- 4 Applications in Iot -- 4.1 Smart Cities -- 4.2 Health Care -- 4.3 Smart Homes and Smart Buildings -- 4.4 Mobility and Transportation -- 4.5 Smart Agriculture -- 4.6 Wearables -- 4.7 Smart Retail and Supply Chains -- 5 Iot in Manufacturing -- 5.1 IoT and Industry 4.0 -- 5.2 Usage of IoT -- 5.3 Manufacturing Applications of IoT -- 6 Challenges -- 6.1 Socio-Ethical Considerations -- 6.2 Technological Limits -- 6.3 IoT Security -- 6.4 Legislation and Governance -- 7 The Future of Iot -- 7.1 Internet of Everything (Ioe) -- 7.2 Sensor as a Service -- 8 Conclusion -- References -- Blockchain Technology and Its Role in Industry 4.0 -- 1 Introduction to Blockchain Technology -- 2 Blockchain Architecture -- 3 Blockchain Transaction Process -- 4 Blockchain Infrastructures -- 5 Consensus Algorithms -- 5.1 Approaches to Consensus -- 6 Characteristics of Blockchain Technology -- 7 Advantages and Challenges of Blockchain Technology -- 7.1 Challenges of Blockchain Technology -- 7.2 Disadvantages of Blockchain Technology -- 8 How to Determine Whether You Need Blockchain Technology -- 9 Blockchain Technology Applications in Industries -- 9.1 Financial Industry -- 9.2 Healthcare Industry -- 9.3 Logistics Industry -- 9.4 Manufacturing Industry -- 9.5 Energy Industry -- References -- Blockchain Technology Application in Manufacturing -- 1 Introduction -- 2 Application of Blockchain -- 2.1 Smart Contract -- 2.2 Private Network -- 3 Case Studies -- 3.1 Trust System for Cloud Manufacturing -- 3.2 Supply Chain Application -- 4 Conclusion -- References -- Virtual Manufacturing, Technologies, and Applications -- 1 Introduction -- 2 Definition of Virtual Manufacturing -- 3 Paradigms of Virtual Manufacturing -- 3.1 Virtual Manufacturing Technology. 4 Technical Support for Virtual Manufacturing -- 4.1 Virtual Reality -- 4.2 Augmented Reality -- 4.3 Mixed Reality -- 4.4 X-Reality -- 5 Applications of VR -- 5.1 Health Care -- 5.2 Education -- 6 Virtual Manufacturing System Applications -- 7 Advantages, Disadvantages, Challenges, and Future of VR -- 7.1 Advantages -- 7.2 Disadvantages -- 7.3 Challenges -- 7.4 Future -- 8 Conclusion -- References -- Digital Twin and Its Applications -- 1 Introduction to Digital Twin -- 2 Digital Twin Architecture -- 2.1 Digital Twin-The Fundamentals -- 2.2 Digital Twin Architecture -- 2.3 How Does Digital Twin Works? -- 3 Digital Twins Tools and Technologies -- 3.1 Digital Twin Technologies -- 3.2 Product Design Process Based on Digital Twin -- 3.3 The Future, Present, and Past of Digital Twin Technology -- 4 Digital Twin in Industry 4.0 -- 5 Digital Twin Applications -- 6 Digital Twin Challenges -- 6.1 Benefits of Digital Twin -- References -- Big Data Analytics in Industry 4.0 -- 1 Introduction -- 1.1 History of Big Data -- 1.2 What Is Big Data? -- 1.3 Application Areas of Big Data -- 2 Big Data Characteristics -- 2.1 Volume -- 2.2 Velocity -- 2.3 Variety -- 2.4 Static and Streaming Data -- 2.5 Formats of Data -- 3 Big Data Analytics -- 3.1 An Example of Big Data Analytics Architecture for Industry 4.0 -- 3.2 Methods and Relations -- 3.3 Big Data Tools -- 3.4 Applications to Industry 4.0 -- 3.5 Computational Aspects of Big Data -- 3.6 Opportunities and Challenges of Big Data Analytics -- References -- Blockchain Technology in Supply Chain Management: Challenge and Future Perspectives -- 1 Introduction -- 2 Supply Chain Definition and Structure -- 2.1 Maximizing the Surplus -- 2.2 Maximizing Consumer Satisfaction -- 3 Managing Information Flow -- 4 Materials Flow in Supply Chain -- 5 Problems -- 5.1 Information Flow Problems -- 5.2 Track and Tracing. 6 Blockchain and Distributer Ledger -- 6.1 Data Layer -- 6.2 Network Layer -- 6.3 Consensus Layer -- 6.4 Incentive Layer -- 6.5 Contract Layer -- 6.6 Application Layer -- 7 Types of Blockchain -- 7.1 Public Blockchain -- 7.2 Private Blockchain -- 8 Discussion and Implications -- 9 Conclusion -- References -- Toward Pharma 4.0 in Drug Discovery -- 1 Introduction -- 2 Drug Discovery -- 2.1 The Drug Discovery Process -- 3 Beyond Traditional Applications -- 3.1 AI and Machine Learning in Drug Discovery -- 3.2 Chemoinformatics -- 4 Pharma 4.0 for Drug Discovery -- 5 Conclusion -- References -- What Military 4.0 IS: Applications and Challenges -- 1 Introduction -- 2 Application of Industry 4.0 in Military Sector -- 2.1 Logistic -- 2.2 Track and Tracing Systems -- 3 Conclusion -- References -- Toward Industry 5.0: Cognitive Cyber-Physical System -- 1 Introduction -- 2 Industrial Revolution -- 2.1 Industry 5.0 Evolution Drivers -- 3 Cyber-Physical System -- 4 Applications of Cognitive Cyber-Physical System -- 5 Cognitive Cyber-Physical Systems (C-CPS) -- 6 Key Cognitive Functions in C-CPS -- 6.1 Attention in C-CPS -- 6.2 Perception in C-CPS -- 6.3 Memory and C-CPS -- 6.4 Problem-Solving in C-CPS -- 6.5 Knowledge Representation and Reasoning in C-CPS -- 7 Cognitive Cyber-Physical System Features -- 8 Discussion -- 9 Conclusion -- References. |
| Record Nr. | UNINA-9910634050203321 |
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Azizi Aydin
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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