Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Confere

AI for Resilience in Global Supply Chain Networks in the Context of Pandemic Disruptions.- Covid-19 Ripple Effect and global supply chain productivity impacts through pandemic propagation modelling.- A vector logistic dynamical approach to epidemic evolution on interacting social-contact and production-capacity graphs, and its proxy economic cost assessment.- Stochastic Logistic Shocks on Supply Chain Networks.- Towards explainable artificial intelligence (XAI) in supply chain management: a typology and research agenda.- Distribution of Vaccines During a Pandemic (Covid-19).- Blockchain in the Operations and Supply Chain Management.- Blockchain-based master data management in supply chains: a design science study.- Blockchain for Product Authenticity in the Cannabis Supply Chain.- A Blockchain-based Manufacturing Service Composition Architecture for Trust Issues.- An Approach for Creating a Blockchain Platform for Smart Labeling and Tracing Wines and Spirits.- Blockchain design for digital supply chain integration.- Data-Based Services as Key Enablers for Smart Products, Manufacturing and Assembly.- Customer Order Scheduling in an Additive Manufacturing Environment.- A Conceptual Reference Model for Smart Factory Production Data.- Generating Synthetic Training Data for Assembly Processes.- Data Acquisition for Energy Efficient Manufacturing: A Systematic Literature Review.- Review of Factors influencing Product-Service System Requirements along the Life Cycle.- Data-Driven Methods For Supply Chain Optimization.- Data-Driven Solutions for the Newsvendor Problem: A Systematic Literature Review.- An Information Sharing Framework for Supply Chain Networks: What, When, and How to Share.- A robust data driven approach to supply planning.- Responsible Manufacturing with Information Disclosure under Regulatory Inspections.- Understanding supply chain visibility through experts' perspective: A Delphi based approach.- Digital Twins Based on Systems Engineering and Semantic Modeling.- STARdom: an architecture for trusted and secure human-centered manufacturing systems.- .Semantic Modeling Supports the Integration of Concept-Decision-Knowledge.- Model-based Systems Engineering Supporting Integrated Modeling and Optimization of Radar Cabin Layout.- Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture.- Digital Twin-driven Approach for Smart City Logistics: The Case of Freight Parking Management.- Digital Twins in Companies First Developments and Future Challenges.- The Advent of the Digital Twin: A Prospective in Healthcare in the Next Decade.- Reviewing the application of data driven digital twins in manufacturing systems: a business and management perspective.- Improving a manufacturing process using recursive artificial intelligence.- Digital Twin in the agri-food supply chain: a literature review.- A Digital Twin implementation for manufacturing based on open-source software and standard control systems.- Human-Centered Artificial Intelligence in Smart Manufacturing for the Operator 4.0.- Towards Active Learning Based Smart Assistant for Manufacturing.- Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics.- Digital Platform and Operator 4.0 Services for Manufacturing Repurposing during COVID19.- Anatomy of a digital assistant.- Human in the AI Loop in Production Environments.- Operations Management in Engineer-To-Order Manufacturing.- Value Stream Mapping for knowledge work: a study from project-based engineering-to-order organization.- Servitization in Engineer to Order Companies: a Systematic Literature Review.- The unexpected consequences of the Covid 19 on managing ETO projects.- Requirements for Sales and Operations Planning in an Engineer-to-Order Manufacturing Environment.- A systematic approach to implementing multi-sourcing strategy in engineer-to-order production.- Product and Asset Life Cycle Management