Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures

Backorders.- Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial & Non-Commercial Uses.- Implementation of a Quality Cost Management Model: Case Study from the Textile Industry Sector.- Optimal Production Planning of Ice-food Under Production, Backordering and Renewal Conditions.- Sustainable and Economic Success Factors for Urban Consolidation Centres of Last-Mile Delivery in the Netherlands.- Automating Loading and Unloading for Autonomous Transport: Identifying Challenges and Requirements with a Systems Approach.- Optimal Class-based Storage System with Diagonal Movements.- Algorithms and Models for Automated Replenishment of Store Shelves - Exploratory Research.- A Simulation Optimization Approach to Inventory Optimization in Supply Chain Networks.- Design of Reconfigurable Cellular Manufacturing Systems with Alternative Routing.- Investigating the Sustainable Development of Charging Stations forPlug-in electric vehicles: A System Dynamics Approach.- Pricing Strategy of Apparel Supply Chain Considering Traceability Awareness of Consumers Driven by Blockchain.- Advances in Dynamic Scheduling Technologies for Smart Manufacturing.- Scheduling Algorithm using Path Relinking in Different Search Paths for Production Process with Crane Interference.- Buffer Sizing and Route Scheduling for Reliable Autonomous Vehicle Operations in a Dynamic Environment.- Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing.- A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability.- Prediction of Residual Dye using Machine Learning Algorithms for an Eco-friendly Dyeing Process.- Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem.- Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIP.- Data-driven Analysis and Assignment of Manual Assembly Production Lines.- NSGA-II for Solving a Multi-objective, Sustainable and Flexible Job Shop Scheduling Problem.- AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry.- An Improved Method of Job Shop Scheduling Considering Reworking and Reprocessing based on Proactive Approach.- Optimized Task Planning of Transfer Robots using Reinforcement Learning.- Adaptive Traffic Signal Control for a Mixed Autonomous and Traditional Vehicles by Agent-based Digital Twin Simulation.- Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0.- Reactive Flexible Job Shop Problem with Stress Level Consideration.- Smart Production Planning and Control.- Does Regulating Work-In-Process Increase Throughput and Reduce Cycle Times? An Assessment by Lab Scale System Models.- Systems Thinking Approachfor Production Process Optimization based on KPI Interdependencies.- Modeling of a Matrix Production System for Simulation to Predict Material Demand.- Data-driven Production Logistics: Future Scenario in Two Swedish Companies based on Discrete Event Simulation.- Setup Time Prediction using Machine Learning Algorithms: A Real-world Case Study.- Simple Analysis of Planning Quality in Production Logistics.- Planning and Control of Maritime Commissioning - Planning Concept.- Requirements Planning in the New Normal: Comparison between Reorder Point Method and DDMRP.- Towards Smart Maintenance and Integrated Production-Remanufacturing Planning.- Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data.- Spare Parts Demand Prediction by using a Random Forest approach.- Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply Chain.- PPC-Layout and Order Net - Visualization for a rapid PPC Analysis and Design.- Interfaces between the Factory Planning Process and the Quality Management for an Optimized Planning Outcome.- Production Scheduling using Production Feedback Data; An Illustrative Case Study.