Towards a smart, resilient and sustainable industry proceedings of the 2nd international symposium on industrial engineering and automation ISIEA 2023

Arduino-based Machine Learning Approach for CNC Machine Predictive Maintenance.-Grey Relational Analysis vs. Response Surface Methodology for the prediction of the best joint strength in hybrid welding of TWIP/DP steels.-Demonstrating the potentials of Digital Twin in Manufacturing: an Axiomatic Des...

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Körperschaft: International Symposium on Industrial Engineering and Automation (VerfasserIn)
Weitere Verfasser: Borgianni, Yuri (HerausgeberIn), Matt, Dominik (HerausgeberIn), Molinaro, Margherita (HerausgeberIn), Orzes, Guido (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Lecture notes in networks and systems 745
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Zusammenfassung:Arduino-based Machine Learning Approach for CNC Machine Predictive Maintenance.-Grey Relational Analysis vs. Response Surface Methodology for the prediction of the best joint strength in hybrid welding of TWIP/DP steels.-Demonstrating the potentials of Digital Twin in Manufacturing: an Axiomatic Design-based application for Engineering Education.-Industry 4.0 Technologies and Sustainable Development Goals (SDGs): Covered Publications and Ranking.-A Framework for Digital Factory Planning and validation with Virtual and Augmented Reality: An automotive case study.-Projected augmented reality for industrial design: challenges and opportunities.-Training support with Augmented Reality for Machine Setup: A Case Study in the Process Industry.-Assessing the implementation of a smart cart in a supermarket using a simulation model.-The human factor and the resilience of manufacturing processes: A case study of pharmaceutical process toward Industry 5.0.-Implementation of Model-Based Definition-Case of Manufacturing Industry in Finland.-Development of an AR-based Application for Training of Warehouse Operators.-Assessing the effect of infill strategies on hardness properties of cuboidal parts printed with wire and arc additive manufacturing.-Digital twin application for dynamic task allocation.-A Digital Twin-based approach for Emotion Recognition in Human-Robot Collaboration.-eal-time color detection for automated production lines using CNN-based machine learning.-Exploring the Link between Strategy and Smart Manufacturing Adoption: A Study in the Automotive Industry.-Knowledge-based maintenance management system of compressed air system.-Industry 4.0 and Policies: A classification.-Manufacturing Execution System in Industry 4.0 era: from implementation to impacts on job design.-Toward homecare logistics 5.0: a systematic literature review.-Industry 5.0. The road to sustainability.-Collective System Design and Industry 5.0: building community, resilience, and sustainability at Purdue University Fort Wayne.-The efficiency of Italian hospitals using Data Envelopment Analysis (DEA) and Classification Tree.-A process-based taxonomy of medical devices for clinical pathways design and innovation.-Towards a knowledge-based Decision Support System for the management of Type 2 diabetic patients.-A genetic algorithm approach for medical resident scheduling in Austria.-Covid-19 pandemic impacts and long-term supply strategies of pharmaceutical manufacturers.-Modularity Effect on the Manufacturing Lead Time of Assembly Processes.-Decertification: evidence from Italian SMEs.-Decarbonizing Industrial Logistics through a GIS-based Approach for identifying Pareto-optimal combined Road-Rail Transport Routes.-Servitization opportunities for improving sustainability in the steel industry.-The ABC of ecological sustainability in C-parts management. A maturity model for the evaluation of sustainability in C-parts management.-From Waste to Resource: A Patent Classification Analysis for End of Life Mosquito Nets Alternative Uses Identification.-Is digitalization making agroindustry more circular? A SWOT-AHP analysis.-Pilot Scale Tannin Extraction from Chestnut Wood Waste using Hydrodynamic Cavitation.-Environmental assessment of the introduction of digital technologies in the building industry: a literature study.-A Systematic Review of Factors Considered for Sustainable Product Design.-Fluency of stimuli comparing two different re
This book offers insights into the new trends that are pushing industries toward the 5.0 paradigm. Digitalization has made tremendous inroads, and the key enabling technologies for Industry 4.0 are increasingly mature. "Towards a Smart, Resilient and Sustainable Industry" not only strikes a balance among the current benefits, issues, and limitations of the current wave of digitalization, but also identifies the key challenges for making new industrial developments favorable for people and the environment. The different perspectives presented in this collection are gathered from contributions presented at the 2nd International Symposium on Industrial Engineering and Automation (ISIEA 2023), which took place at the Free University of Bozen-Bolzano on June 22-23, 2023. Readers will realize how aspects from different disciplines are interwoven to allow positive changes across industries: from engineering to artificial intelligence, from management to design, and from health care to biology
Beschreibung:Literaturangaben
Beschreibung:xvi, 683 Seiten
Illustrationen, Diagramme
ISBN:9783031382734
978-3-031-38273-4