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

Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing.- Goods and Activities Tracking Through Supply Chain Network Using Machine Learning Models.- Long term demand forecasting system for demand driven manufacturing.- FBD_Bmodel Digital Platform: a web-based application for demand driven fashion supply chain.- Data-driven approach for Credit Card FraudDetection with Autoencoder and One-ClassClassification techniques.- A model for a multi-level disassembly system under random disassembly lead times-. Hybrid Approaches for Production Planning and Scheduling.- Scheduling of parallel 3D-printing machines with incompatible job families: A Matheuristic algorithm.- An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process.- Hybridization of mixed-integer linear program and discrete event systems for robust scheduling on parallel machines.- An unrelated parallel machines rescheduling problem: an industrial case study.- Tactical planning and predictive maintenance: towards an integrated model based on epsilon-reliability.- Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.- Comparison between product and process oriented Zero-Defect Manufacturing (ZDM) approaches.- Industry 4.0: An Indian perspective.- Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production.- Demand forecasting for an automotive company with neural network and ensemble classifiers approaches.- A deep learning algorithm for the throughput estimation of a CONWIP line.- Dynamic scheduling in a flow shop using Deep Reinforcement Learning.- A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises.- Manufacturing strategy dimensions as I4.0 performance antecedents in developing economies.- Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems.- Design of a Li-Fi Transceiver for Distributed Factory Planning Applications.- Metamodeling of Deteriorating Reusable Articles in a Closed Loop Supply Chain.- Risk Assessment and Mitigation for Industry 4.0: Implementation of a Digital Risk Quick Check.- Digital Twin Framework for Machine-Learning Enabled Integrated Production and Logistics Processes.- A smart contracts and tokenization enabled permissioned blockchain framework for the Food Supply Chain.- Learning and Robust Decision Support Systems for Agile Manufacturing Environments.- Due date-related Order Prioritization for Scheduling with Decision Support in Dynamic Environments.- Knowledge graphs in digital twins for AI in production.- Smart short term capacity planning: A reinforcement learning approach.- Reactive Scheduling by Intelligent DSS.- Worker in the loop: a framework for enabling Human-Robot collaborative assembly.- Decision Support on the Shop Floor Using Digital Twins: Architecture and Functional Components for Simulation-Based Assistance.- A taxonomy for resistance concepts in manufacturing networks.- Real-time machine learning automation applied to failure prediction in automakers supplier manufacturing system.- Resilient Project Scheduling Using Artificial Intelligence: a Conceptual Framework.- A digital twin-driven methodology for material resource planning under uncertainties.- Low-Code and Model-Driven Engineering for Production System.- Towards Development Platforms for Digital Twins: A Model-Driven Low-Code Approach.- A Low-Code Development Environment to Orchestrate Model Management Services.- Towards Twin-Driven Engineering: Overview of the State-of-the-Art and Research Directions.- Developing a bi-objective model to configure a scalable manufacturing line considering energy consumption.- Single machine Order Acceptance Scheduling with periodic energy consumption limits.- A MILP Model for Energy-Efficient Job Shop Scheduling Problem and Tran