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Advances in Production Management Systems. Towards Smart and Digital Manufacturing : IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part II / edited by Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Gregor von Cieminski, David Romero

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Titel Advances in Production Management Systems. Towards Smart and Digital Manufacturing : IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part II / edited by Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Gregor von Cieminski, David Romero
PersonLalic, Bojan [Herausgeber/in]
Majstorovic, Vidosav [Herausgeber/in]
Marjanovic, Ugljesa [Herausgeber/in]
von Cieminski, Gregor [Herausgeber/in]
Romero, David [Herausgeber/in]
VeröffentlichungCham : Springer International Publishing, 2020.
Cham : Imprint: Springer, 2020.
Umfang / Format 1 Online-Ressource(XXXI, 772 p. 222 illus., 132 illus. in color.)
Ausgabe1st ed. 2020.
SpracheEnglisch (Sprache des Textes)
LandDeutschland
ISBN9783030579975
9783030579968, 9783030579982, 9783030579999 (Sekundärausgabe)
Nummer1728471435 (K10Plus-Nummer)
Schriftenreihe (IFIP Advances in Information and Communication Technology ; 592)
(Springer eBook Collection)
Schlagwörter Computer-aided engineering.
Application software.
Computer organization.
Artificial intelligence.
Coding theory.
Information theory.
E-commerce.
Inhalt The Operator 4.0: New Physical and Cognitive Evolutionary Paths -- Facilitating Operator Participation in Continuous Improvement: An Investigation of Organizational Factors -- Improving the Safety of Using Didactic Setups by Augmented Reality -- Production Management as-a-Service: A Softbot Approach -- Knowledge Strategies for Organisation 4.0 -- Challenges for the Operator 3.0 Addressed Through the Enabling Technologies of the Operator 4.0 -- Agent- and Skill-based Process Interoperability for Socio-Technical Production Systems-of-Systems -- Digital Transformation Approaches in Production Management -- Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems -- Explainable AI in Manufacturing: A Predictive Maintenance Case Study -- Retrofit Concept for Textile Production -- Organizational enablers for digitalization in manufacturing industry -- Concept of PLM application integration with VR and AR techniques -- The big potential of Big Data in manufacturing: evidence from emerging economies -- A conceptual model for deploying digitalization in SMEs through capability building -- The Potential of Game Development Platforms for Digital Twins and Virtual Labs: Case Study of an Energy -- The Application of ICT Software Solutions in Manufacturing Sector in Serbia -- Achieving Business Model Innovation with the Personalized Product Business Model Radar Template -- Integrating electronic components into 3D printed parts to develop a digital manufacturing approach -- Digital transformation and its potential effects on future management: Insights from an ETO context -- Applying contextualization for data-driven transformation in manufacturing -- Digital Transformation for more Sustainable Supply Chains -- Smart contract-based blockchain solution to reduce supply chain risks -- Towards sustainability: The manufacturers’ perspective -- Data-Driven Applications in Smart Manufacturing and Logistics Systems -- Smart Factory Competitiveness based on real time Monitoring and Quality predictive model applied to multi-stages Production lines -- A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment -- Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines -- A framework of data-driven dynamic optimisation for smart production logistics -- Decentralized Industrial IoT Data Management Based on Blockchain and IPFS -- Integrated Platform and Digital Twin Application for Global Automotive Part Suppliers -- Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems -- Streaming Analytics in Edge-Cloud Environment for Logistics Processes -- An Improvement in Master Surgical Scheduling using Artificial Neural Network and Fuzzy Programming -- SKOS Tool: A Tool for Creating Knowledge Graphs to Support Semantic Text Classification -- Data-Driven Services: Characteristics, Trends and Applications -- The successful commercialization of a digital twin in an industrial product service system -- Using Service Dominant logic to assess the value co-creation of Smart Services -- Engineering of data-driven Service Systems for Smart Living: Application and Challenges -- The role of service business models in the manufacturing of transition economies -- System architecture analysis with network index in MBSE approach -Application to smart interactive service with digital health modeling -- The Data-Driven Product-Service Systems Design and Delivery (4DPSS) methodology -- Data-driven maintenance delivery framework: test in an Italian company -- Towards a Comparative Data Value Assessment Framework for Smart Product Service Systems -- Impact of platform openness on ecosystems and value streams in Platform-based PSS exemplified using RAMI 4.0 -- Industry 4.0 data-related technologies and servitization: a systematic literature review -- A framework to support value co-creation in PSS development -- The Future of Lean Thinking and Practice -- Utilizing Lean Thinking as a Means to Digital Transfor
Inhalt The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product.

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