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

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.

.- 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 People s 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 worker s 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.