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E-raamat: 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 II

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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 IISuurem pilt
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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 812, 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.



Chapter Trading Digital-Valued Assets Within Cyber-Physical Manufacturing Supply Chains: A Scoping Review of Additive Manufacturing and Digital Trade is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.



 
.- Smart and Sustainable Supply Chain Management in the Society 5.0
Era.



.- Data-Driven Control System Using Machine Learning in Production Process.



.- Data-Driven Scheduling of Cellular Manufacturing Systems using Process
Mining with Petri Nets.



.- A Study on Sophisticated Production Management for Engineer-to-Order
Production: A Mixed Integer Programming Formulation for Production
Scheduling.



.- Three-Dimensional Bin Packing Problems with the Operating Time of a Robot
Manipulator.



.- AI Applications in the Healthcare Logistics and Supply Chain Sectors.



.- Analysis of Critical Success Factors of a Sustainable and Resilient
AIoE-Based Supply Chain in Industry 5.0.



.- Trading Digital-Valued Assets within Cyber-Physical Manufacturing Supply
Chains: A Scoping Review of Additive Manufacturing and Digital Trade.



.- Basic research on worker state prediction towards the realization of human
digital twin.



.- Resilient supply chain network planning method with two-stage stochastic
programming: Extension to multiple product supply chains.



.- Study on developing a comprehensive inspection system that parallel
improves the accuracy of manual and automatic inspections.



.- Autonomous Vehicles: Technological Evolution and Obstacles to
Implementation from a Brazilian Perspective.



.- Analysis of Peoples Continental Behavior Regarding Cycling in Light of
The Cyclability Index.



.- Analytical and Computational Models for In-Store Shopper Journeys.



.- Human-centred Manufacturing and Logistics Systems Design and Management
for the Operator 5.0.



.- A Meta-Heuristic Approach for Industry 5.0 Assembly Line Balancing and
Scheduling with Human-Robot Collaboration.



.- Game-based design of a human-machine collaboration monitoring system.



.- Assessing Trustworthy Artificial Intelligence of Voice-enabled Intelligent
Assistants for the Operator 5.0.



.- A Bibliometric Perspective of Integrating Labor Flexibility in Workload
Control.



.- Integrating Ontology with Cobot Execution for Human-robot Collaborative
Assembly using Heterogenous Cobots.



.- A Study on Production Scheduling Methods for Ready-Made Meal Industries.



.- Experimentation and evaluation of the usability of an AR-driven zero
defect manufacturing solution in a real life complex assembly setting.



.- Enriching scene-graph generation with prior knowledge from work
instruction.



.- Designing augmented reality assistance systems for Operator 5.0 solutions
in assembly.



.- Inclusive Work Systems Design: Applying Technology to Accommodate
Individual Workers Needs.



.- An examination of the limited adoption of personalized work instructions
in assembly to accommodate individual workers needs.



.- Skills and information needed for Operator 5.0 in emergency production.



.- Augmenting the One-Work-Multiple-Machine (OWMM) System: An Industrial
Softbot Approach.



.- Quantitative Models for Workforce Management in a Large Service
Operation.



.- Evolving Workforce Skills and Competencies for Industry 5.0.



.- A State-of-the-Art Review and Framework for Human-Centric Automation in
Industry 5.0.



.- Impact of Collaborative Robots on Human Trust, Anxiety, and Workload:
Experiment Findings.



.- Integrating Industry 5.0 competencies: a learning factory based
framework.



.- Strategies for managing the ageing workforce in manufacturing: a
survey-based analysis.



.- Contemporary and Future Manufacturing Unveiling the Skills Palette for
Thriving in Industry 5.0.



.- Exploring the cognitive workload assessment according to human-centric
principles in Industry 5.0.



.- Experiential Learning in Engineering Education.



.- Understanding the Drivers of Lean Learning in Industrial Environments.



.- Designing an Online Workshop for Creativity and Value Co-Creation: Three
Case Studies in Gastronomic Sciences on Viewpoint Setting and Sustainability.
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