The proceedings contain 106 papers. The special focus in this conference is on Flexible Automation and Intelligent manufacturing. The topics include: Using Applied Machine Learning to Detect Cyber-Security Threats in ...
ISBN:
(纸本)9783031744815
The proceedings contain 106 papers. The special focus in this conference is on Flexible Automation and Intelligent manufacturing. The topics include: Using Applied Machine Learning to Detect Cyber-Security Threats in Industrial IoT Devices;concrete Fault Detection Using Deep Learning: Towards Waste Reduction in Bridge Inspection;a Hybrid Model for Solder Joint Height Prediction Based on Physical knowledge and Machine Learning;OS4ML: Open Space for Machine Learning;Deep Hierarchical Reinforcement Learning CMP Run to Run Control;a Physics-Informed Machine Learning Model for Mounting Optimization in Printed Circuit Boards;disassembly Work Analysis Using Motion Capture and Machine Learning;through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models;discovering Dispatching Rules in a Semiconductor Fab Using Interpretable Machine Learning;digital Twin System Framework for Gripping Deformable Objects with Synthetic data and Reinforcement Learning;setup Operation Time Estimation System for the Adoption of Cyber-Physical systems in High-Mix Low-Volume Production;Defining Scalable data Models for Operational data Integration in manufacturing Processes Within the Digital Product Passport Framework Through OPC UA and Asset Administration Shell;cybersecurity Awareness in Critical Sectors – a Systematic Literature Review;Digifacturing: Strategically Redefining manufacturing for Micro-SMEs;designing a Resilient Hybrid-Modeled Digital Twin for Reliable manufacturing Processes;Reusage of Extended Digital Twins from Virtual Commissioning for Dynamics-Based Trajectory Planning in CNC Controlled Robotics;RECAST: An Open-Source Digital Twin Framework for Industrial Production Environments;extension of the X-in-the-Loop Simulation with a Mixed Reality Method by a Co-Simulation;data Fabric: A Concept for Enhancing data Management in manufacturing;toward Digital Twin Conceptualization in Complex Operations Environments;design of a Digital Twin to Optimize
This paper introduces a guide aimed at aligning academic learning with industry standards in Agile methodology and Scrum framework usage. Targeting students, educators, and industry practitioners, it addresses the pre...
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The aim of this research is to explore and evaluate the use of federated learning to tackle issues related to data privacy, data scarcity, data security, and anomaly detection in Industry 4.0 manufacturing settings an...
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In an era where the transformative power of technology converges with linguistic diversity, the project 'Developing a Real-Time Tamil OCR System for Mobile Devices' emerges as a beacon of innovation. The prima...
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The proceedings contain 12 papers. The special focus in this conference is on Management of manufacturingsystems. The topics include: Contemporary Approach of Additive manufacturing for Sustainable Products in the Er...
ISBN:
(纸本)9783031531606
The proceedings contain 12 papers. The special focus in this conference is on Management of manufacturingsystems. The topics include: Contemporary Approach of Additive manufacturing for Sustainable Products in the Era of Circular Economy;cost Operation Optimization with Binary Integer Linear Programming in a Cosmetic Company;data Collection with Honeypot Server for Reverse engineering of Malware;A Method with Roulette Selection Strategy for Path Planning in UAV-Based Waste Monitoring systems;Analyzing the Efficiency of Software Distribution systems in AIoT Environments;survey of Cybersecurity Risks in Online Gambling Industry;Development of CIO Competencies;concept of Mixed Reality Application Design for Technical Solutions;sustainable Construction: Circular Materials and Their Impacts on Aspects of Construction Processes;project Management and Indirect Operating Costs by Building Information Modeling in Construction Projects in Slovakia, Slovenia, and Croatia.
This paper presents a simulator generator designed to aid in the development of domain-specific protocols that enable semantic communication, where messages include annotations specifying the meaning of individual fie...
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This article focuses on analyzing the impact of productive service industry on the transformation and upgrading of China's manufacturing industry, especially the role of technology-intensive service industries suc...
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The digital age has created various channels for the sustainable development of traditional culture. A Neo4j-based knowledge graph for Tujia Intangible cultural heritage music was constructed to address the potential ...
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Aiming at the needs of multi-agent confrontation games in the complex wide-area environment at sea, this paper proposes a multi-agent construction idea driven by knowledge rules and data learning, and designs a hybrid...
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In this study, a comprehensive framework for assessing the readiness of production systems for Zero Defect manufacturing (ZDM) has been developed and presented. The framework includes four pillars of ZDM readiness, na...
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ISBN:
(纸本)9783031381645;9783031381652
In this study, a comprehensive framework for assessing the readiness of production systems for Zero Defect manufacturing (ZDM) has been developed and presented. The framework includes four pillars of ZDM readiness, namely Personnel, Procedures, Infrastructure, and Company Culture, to help companies understand their level of readiness and plan for successful implementation of ZDM. We argue that a manufacturing company will be better equipped to embrace ZDM if it performs well in these four areas. We propose a tool that uses yes/no questionnaires to assess a manufacturing system's readiness for ZDM. The results of the questionnaire will objectively show the true level of cultural readiness for ZDM adoption, and the level of investment required for implementation will depend on the level of readiness. This tool can help companies gain a clear understanding of their readiness and create a plan for implementing ZDM. Overall, our framework and tool can help manufacturers improve the quality of their products and be ready for ZDM adoption.
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