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