ENGLISH

7th EAI International Conference on Management of Manufacturing Systems

Book information

Publisher
Springer
Year
2023
ISBN
3031227182, 9783031227189
Language
english
Format
PDF
Filesize
10 MB (10402357 bytes)
Series
EAI/Springer Innovations in Communication and Computing
Pages
258\259
Time added
2023-03-18 23:39:48

Description

The book presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022), which took place in Krynica-Zdrój, Poland, 05-07 October 2022. The conference covers the management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management, and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more. The topic is of interest to researchers, practitioners, students, and academics in manufacturing and communications engineering. Presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022);Covers topics such as Industry 4.0, smart logistics, smart cities, and intelligent manufacturing;Relevant for researchers, academics, and professionals. Preface 7th EAI International Conference on Management of Manufacturing Systems (EAI MMS 2022), October 5–7, 2022, Krynica-Zdrój, Poland Contents Part I Smart Techniques/Smart Technology Concept, Architecture, and Performance Testing of a Smart Home Environment for the Visually Impaired Persons 1 Introduction 2 Previous Research 3 Smart Home Concept for the Visually Impaired Persons 4 Conceptual Model of Smart Home System Architecture 4.1 Taxonomy of Technology and Devices 4.2 Autonomous Networks 4.3 Conceptual System Architecture 5 Testing the Effectiveness of Virtual Assistants on the Example of a Smart Home 6 Conclusion References Comparison of the Principles of Head-Up Display Technologies for the Implementation of Augmented Reality in the Automotive Industry: A Study 1 Introduction 1.1 AR in Automotive Industry 2 Research 3 Methodology 3.1 Mercedes HUD 3.2 Citroën Head-Up Vision 3.3 Head-Up Display Using a Smartphone 3.3.1 NAVIER HUD 3 3.3.2 HUDWAY Go 4 Results 5 Conclusion References Polygonization of the Surface Digitized Using Helios2 Time-of-Flight Camera 1 Introduction 2 Point Cloud Acquisition Using Helios2 Time-of-Flight Camera 2.1 Helios2 Time-of-Flight Camera 3 Polygonization of Digitized Surface Using GOM Inspect 3.1 GOM Inspect 3.2 Polygonization Process 4 Conclusion References Application of Smart Construction Site in Construction Practice 1 Introduction 2 Smart Construction Site in Construction Practice 2.1 Tools to Ensure Safety on the Construction Site 2.2 Tools to Ensure to Protection of Materials and Property 2.3 Construction Robotics Tools 2.4 Tools for Managing and Supporting the Application of Intelligent Elements on the Construction Site: Construction Applications 3 Methodology 3.1 Research Aim 3.2 Data Collection and Research Sample 3.3 Research Step and Methodology 4 Results: Current State of Implementation of Smart Construction Site Tools 4.1 Information About the Respondents 4.2 Degree of Knowledge of the Concept of Smart Construction Site 4.3 Use of Smart Construction Site Tools 4.4 Implementation of Smart Construction Site Tools in Practice 5 Conclusion References The Manufacturing Process of Die Forging Polyamide: Influence of the Annealing on the Properties and Structure 1 Introduction 2 Methodology 2.1 Material and Manufacturing of PA Samples by Forging 2.2 Annealing Process 2.3 Methods Characteristic 3 Results and Discussion 3.1 Hardness and Density Results Analysis 3.2 Structure Analysis 4 Conclusions References Part II Sustainable Communications & Information and Communications Technology Application of the SMART Optical Displacement Sensors in Measuring the Diameter Deviation of C45 Steel After the Turning Process 1 Introduction 2 Optical Sensors Measuring Literature Review 3 Research Methodology 3.1 Confocal Sensor 3.2 Laser Triangulation Sensor 4 Experimental Measuring 4.1 Experimental Results 5 Discussion 6 Conclusion References Use of IIoT Equipment for Error Messaging in Industrial Production 1 Introduction 2 Deployment of IIoT Devices into the Existing Cloud Infrastructure of the Enterprise 3 Conclusions References Application of Numerical Methods in Determining the Regression Model of Body Cooling 1 Introduction 2 Theoretical Model of Body Cooling 3 Regression Model 3.1 Linearizable Model 3.2 Nonlinearizable Model 4 Program for Calculation of Regression Model Parameters 5 Conclusion References Part III Sustainable Industrial Development Development of Sink-Float Density Separation Process of Mixed Automotive Plastics for Mechanical Recycling 1 Introduction 2 Experimental and Methods 2.1 Materials 2.2 Processing and Sample Preparation 2.2.1 A Sink-Float Density Separation Technique 2.2.2 Sample Preparation for Mechanical Recycling 2.2.3 Measurement of the Surface Tension at the Liquid/Gas Interface 2.2.4 Mechanical Properties 2.2.5 Microscopic Evaluation of the Surface Structure 3 Results and Discussion 3.1 Measurement Results for the Interfacial Voltage at the Liquid/Gas Interface 3.2 Results of the Static Tensile Test 3.3 Results of Microscopic Examination of Composites 3.3.1 Results of Tests on the Surface Structure of Composites 4 Conclusions References Assessment of the Cataphoretic Varnishing Production Process Capability Using the CAQ System of Quality Management 1 State of the Art 2 Varnishing by Cataphoresis 2.1 Coating Options 2.2 Cataphoresis Steps (Fig. 1) 2.3 Characteristics of Aqueous Solutions Used in Cataphoretic Varnishing 2.4 Technological Process of Cataphoretic Varnishing at KTL (Table 1, Figs. 3 and 4) 3 MSA Analysis 3.1 Evaluation 3.2 Graphs and Analyses 4 SPC Analysis (Table 2) 5 Conclusion References An Effective Tool for Increasing the Company's Production Process – Application of Innovative Planning Methods 1 Introduction 1.1 Efficiency of the Production Process 2 Methodology 2.1 Enterprise Resource Planning 2.2 Material Requirements Planning 2.3 Just in Time 2.4 Production Planning in the Company 3 Results 3.1 Use of the ABRA Gen Information System in the Production Process 4 Conclusion References Quality Management of the Process of the Complex Parts Control 1 Introduction 2 Literature Review 3 Research Methodology 4 Results 5 Conclusions References Fundamentals of Monitoring the Technological Parameters by Deep Drawing Process: A Study 1 The State of the Art 1.1 Influence of Factors on the Process of Deep Drawing 2 Methodology of Drawing Conditions on Technological Characteristics of the Deep Drawing Process 2.1 Friction Processes 3 Results and Discussion 4 Conclusion References A Heuristic Project Buffer Management Algorithm in the Scheduling Phase of a Renewable Energies Project 1 Introduction 2 Literature Review 3 Research Methodology 4 Research Implementation 5 Results 6 Disruption and Conclusion References Comparison of the Impacts of the Financial Crisis and the Covid-19 Pandemic Crisis on Selected Financial Indicator of Construction Companies 1 Introduction 2 Literature Review 3 Research Methodology and Data 3.1 Research Aim 3.2 Sample and Data Selection 3.3 Methodology 4 Results 5 Discussion and Recommendations 6 Conclusion References Part IV Industry 4.0 Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey 1 Introduction 2 Overview and Analysis of Machine Learning and Artificial Intelligence Concepts 2.1 Supervised Machine Learning 2.2 Unsupervised Machine Learning 2.3 Reinforcement Machine Learning 3 Tools and Platforms for Applying Machine Learning Algorithms 3.1 Scikit Learn Programming Platform 3.2 TensorFlow Machine Learning Platform 3.3 PyTorch Framework for Machine Learning 3.4 Weka Programming Tool 3.5 RapidMiner Machine Learning Platform 4 Application of Machine Learning in Telecommunications 4.1 The Role of Machine Learning in Network Traffic Security 4.2 Machine Learning in the Field of IoT Device Classification 4.3 Other Possibilities of Applying Machine Learning in Telecommunications and Industry 4.0 5 Conclusion References Guidelines for Mitigating Cybersickness During Training in VR Environment Using Head-Mounted Displays 1 Introduction 2 Cybersickness in Brief 3 Cybersickness Causality Factors 4 The Mitigation Guidelines 5 Conclusion References Research on the Influence of the Digital Transformation on Operations Management Practices: Challenges andFuture Directions 1 Introduction 2 Literature Review 2.1 Main Digital Manufacturing Technologies 2.2 Changes in Operations Management in the Digital Transformation Environment 3 Materials and Methods 3.1 Research Purpose 3.2 Research Methodology 4 Research Results and Discussion 5 Conclusions References EAI MMS 2022 – 7th EAI International Conference on Management of Manufacturing Systems, October 5–7, 2022, Krynica-Zdrój, Poland 1 Steering Committee 1.1 Chair 1.2 Members 2 Organizing Committee 2.1 General Chairs 2.2 Technical Program Committee Chairs 2.3 Web Chair 2.4 Publicity and Social Media Chairs 2.5 Workshops Chair 2.6 Sponsorship & Exhibits Chairs 2.7 Publications Chairs 2.8 Panels Chair 2.9 Local Chair 3 Technical Program Committee Chairs 3.1 Technical Program Committee Members Index

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