Proceedings of the International Symposium for Production Research 2019 / edited by Numan M. Durakbasa, M. Güneş Gençyılmaz

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Mechanical Engineering | Springer eBook Collection | Springer eBooks EngineeringVerlag: Cham : Springer, 2020Auflage: 1st ed. 2020Beschreibung: 1 Online-Ressource (XXIV, 853 p. 329 illus., 259 illus. in color)ISBN:

9783030313432

Schlagwörter:

Andere physische Formen: 9783030313425 | Erscheint auch als: 978-3-030-31342-5 Druck-AusgabeDDC-Klassifikation:

670 23

LOC-Klassifikation:

T55.4-60.8

DOI: DOI: 10.1007/978-3-030-31343-2Online-Ressourcen:

Zusammenfassung: Artificial Intelligent Applications -- Modeling and Optimization of Surface Roughness Parameters of Stainless Steel by Artificial Intelligence Methods -- Using Artificial Intelligence for the Improvement of Weapon Efficiency -- Big Data and Analytics -- Industry 4.0 Score Prediction of Turkish SMEs via Data Classification -- The Gender Analysis of Enrolled Students: A Comparison Study of Austrian And Turkish Higher Education -- Energy Management -- Electricity Consumption Forecasting with Artificial Neural Network for Fast-Moving Consumer Goods SectorZusammenfassung: This book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain managementPPN: PPN: 1681726882Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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