Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments

43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024, Proceedings, Part V
Herausgegeben:Thürer, Matthias; Riedel, Ralph; Cieminski, Gregor von; Romero, David

• Gebundenes Buch

Produktbeschreibung

The six-volume set IFIP AICT 728-729 constitutes the refereed proceedings of the 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024, held in Chemnitz, Germany, during September 8-12, 2024.

The 201 full papers presented together were carefully reviewed and selected from 224 submissions. The APMS 2024 conference proceedings are organized into six volumes, covering a large spectrum of research addressing the overall topic of the conference "Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments".

Part I: advancing eco-efficient and circular industrial practices; barriers and challenges for transition towards circular and sustainable production processes and servitized business models; implementing the EU green deal: challenges and solutions for a sustainable supply chain; risk analysis and sustainability in an uncertain system in a digital era.

Part II: smart and sustainable supply chain management in the society 5.0 era; human-centred manufacturing and logistics systems design and management for the operator 5.0; inclusive work systems design: applying technology to accommodate individual workers' needs; evolving workforce skills and competencies for industry 5.0; experiential learning in engineering education.

Part III: lean thinking models for operational excellence and sustainability in the industry 4.0 era; human in command - operator 4.0/5.0 in the age of AI and robotic systems; hybrid intelligence - decision-making for AI-enabled industry 5.0; mechanism design for smart and sustainable supply chains.

Part IV: digital transformation approaches in production and management; new horizons for intelligent manufacturing systems with IoT, AI, and digital twins.

Part V: smart manufacturing assets as drivers for the twin transition towards green and digital business; engineering and managing AI for advances in asset lifecycle and maintenance management; transforming engineer-to-Order projects, supply chains, and systems in turbulent times; methods and tools to achieve the digital and sustainable servitization of manufacturing companies; open knowledge networks for smart manufacturing; applications of artificial intelligence in manufacturing; intralogistics.

Part VI: modelling supply chain and production systems; resilience management in supply chains; digital twin concepts in production and services; optimization; additive manufacturing; advances in production management systems.

Produktdetails

• IFIP Advances in Information and Communication Technology 732
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-71636-2
• 2024
• Seitenzahl: 520
• Erscheinungstermin: 8. September 2024
• Englisch
• Abmessung: 241mm x 160mm x 34mm
• Gewicht: 883g
• ISBN-13: 9783031716362
• ISBN-10: 3031716361
• Artikelnr.: 71331305

Inhaltsangabe

.- Smart Manufacturing Assets as Drivers for the Twin Transition towards Green and Digital Business.

.- From Vineyard to Smart Factory: The case for a Digital Innovation Hub in the Atacama Desert.

.- Construction of a Demonstrator for Artificial Intelligence-supported, automated Dismantling of Battery Systems.

.- Life Cycle Analysis for the concept design of a Smart Mobile Factory (SMF) for infrastructure construction projects.

.- Exploring Agile Methods Application in Manufacturing.

.- Optimization of Reconfigurable Manufacturing Systems Configuration using Constraint Programming.

.- Key factors for sustainability along the lifecycle of smart Product Service Systems.

.-Engineering and managing AI for advances in asset lifecycle and maintenance management.

.- Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System.

.- Adoption of AI-based systems in industrial maintenance: empirical evidences from an action research in the maintenance service business.

.-Transforming Engineer-to-Order Projects, Supply Chains, and Systems in Turbulent Times.

.- Exploring the Hydrogen Transition within the Maritime Value Chains.

.- Application of Circular strategies for ETO products.

.- Yard Logistics: Framework and Classification of Yard Types.

.- Methods and Tools to Achieve the Digital and Sustainable Servitization of Manufacturing Companies.

.- Maturity Models for Servitization: A Systematic Literature Review.

.- Towards Human-Centric Digital Services: A Development Framework.

.- Quantitative assessment of Product-Service System sustainability: a literature review.

.- Navigating the Shift: From Traditional Sales to Product- as-a-Service (PaaS).

.- Transforming a new-build factory into a service operations workshop: A PDCA approach to change management in industrial servitization.

.- Navigating Lifecycle Management Models: Testing of a lifecycle management framework for Product-Service Systems.

.- Asset lifecycle management and digital servitization: A case study in machining.

.- Open Knowledge Networks for Smart Manufacturing.

.- Open Knowledge Networks for Smart Manufacturing.

.- An Introduction to Machine Learning Lifecycle Ontology and its Applications.

.- Open Manufacturing Capability Network Supported by Formal Ontologies.

.- Open Data Framework for Energy Management and ISO certification in Smart Manufacturing Systems.

.- Applications of Artificial Intelligence in Manufacturing.

.- Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application.

.- Leveraging LLMs for Information Extraction in Manufacturing.

.- Development of Automated Negotiation Models for Suppliers using Reinforcement Learning.

.- Robust Novel Defect Detection with Neuro-symbolic AI.

.- Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review.

.- Comparison of bipartite graph community detection algorithms for reducing variant diversity in production planning and control.

.- Vibration-Based Operating Status Monitoring of a Production Line with Low-Cost IoT Devices.

.- Intralogistics.

.- A Simulation Study For Integrating Library Material Handling with Autonomous Mobile Robots.

.- Dynamic multi-objective opti-state decision-making method for intermittent synchronized production operation system.

.- Planning the tasks of an autonomous mobile robot fleet for internal logistics of production systems.

.- Model-based system engineering approach to design customized puzzle-based movable rack systems.