
APMS 2021
International Conference Advances in Production Management Systems
September 5-9, 2021 | Nantes, France
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Session | ||
Digital Transformation Approaches in Production Management
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Presentations | ||
ID: 337
/ DTA-01: 1
Special track: Digital Transformation Approaches in Production Management Keywords: Survival Analysis, Predictive Maintenance, Machine Learning. The Survival Analysis for A Predictive Maintenance in Manufacturing 1University of Bihac, Bosnia and Herzegovina; 2CAMPUS 02 University of Applied Sciences, Graz, Austria ID: 353
/ DTA-01: 2
Special track: Digital Transformation Approaches in Production Management Keywords: Industry 4.0, digitalization, manufacturing industry, barriers, case study. Barriers hindering an efficient implementation process of digital technologies; a case study at Norwegian manufacturing companies 1SINTEF Manufacturing, Norway; 2SINTEF Digital, Norway ID: 577
/ DTA-01: 3
Special track: Digital Transformation Approaches in Production Management Keywords: Product Service Systems, Digital Servitization, Smart Products Exploring Accidental Digital Servitization In An Industrial Context 1Glasgow Caledonian University, United Kingdom; 2Lucerne University of Applied Sciences and Arts, Switzerland ID: 331
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Special track: Digital Transformation Approaches in Production Management Keywords: Architecture, Cyber Physical Production Systems, Zero Defect Manufacturing A hybrid architecture for the deployment of a Digitally-enhanced Quality Management (DQM) System for Zero-Defect Manufacturing in Industry 4.0 1Sintef Manufacturing, Norway; 2Politecnico di Milano, Italy ID: 348
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Regular Paper Submission Data-driven Production Management: Manufacturing Systems Engineering: Agile, Flexible, Reconfigurable, Machine Learning and Artificial Intelligence Smart Manufacturing & Industry 4.0: Advanced, Digital and Smart Manufacturing Keywords: liquid detection, artificial intelligence, convolutional neuronal network, camera, assembly, automation Detection of fluid level in bores for batch size one assembly automation using convolutional neuronal network 1University of Luxembourg, Luxembourg; 2Hochschule Trier, Germany |
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