05185nam a22006015i 4500 978-3-031-47444-6 DE-He213 20251030110905.0 cr nn 008mamaa 231219s2024 sz | s |||| 0|eng d 9783031474446 978-3-031-47444-6 10.1007/978-3-031-47444-6 doi T55.4-60.8 TGP bicssc TEC009060 bisacsh TGP thema Abonyi, János. author. aut http://id.loc.gov/vocabulary/relators/aut 68770 Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production [electronic resource] : Knowledge Graph and Semantic Based Modeling and Optimization of Complex Systems / by János Abonyi, László Nagy, Tamás Ruppert. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 271 p. 142 illus., 140 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Series in Advanced Manufacturing, 2196-1735 Part I Introduction and motivation of the book -- Introduction to the industrial application of semantic technologies -- Ontology-based modeling of a wire harness manufacturing processes -- Knowledge graph-based framework to support human-centered collaborative and ergonomic manufacturing in Industry 5.0 -- Part II Problem statement of network science-based process optimization -- Analytic hierarchy process and multilayer network-based method for assembly line balancing -- Efficient network community detection algorithm based on crossing minimization and bottom-up segmentation -- Hypergraph-based analysis of collaborative manufacturing -- Cookbook for semantic-based modeling and optimization of manufacturing systems -- Conclusion. This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modelingand optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods tofacilitate collaboration and support shop floor workers. Industrial engineering. Production engineering. Production management. 67141 Mathematical optimization. 65522 System theory. 66519 Industrial and Production Engineering. Production. 67142 Optimization. 65528 Complex Systems. 66520 Nagy, László. author. aut http://id.loc.gov/vocabulary/relators/aut 68771 Ruppert, Tamás. author. aut http://id.loc.gov/vocabulary/relators/aut 68772 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031474439 Printed edition: 9783031474453 Printed edition: 9783031474460 Springer Series in Advanced Manufacturing, 2196-1735 65855 https://doi.org/10.1007/978-3-031-47444-6 ZDB-2-ENG ZDB-2-SXE 56965 56965