Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro

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 Transport Resources.- Designing Bioenergy Supply Chains under Social Sustainability Constraints.- Meta-Heuristics and Optimization Techniques for Energy-Oriented Manufacturing Systems.- 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 Transport Resources.- Designing Bioenergy Supply Chains under Social Sustainability Constraints.- Metaheuristics for Production Systems.- Multi-objective genetic algorithm to reduce setup waste in a single machine with coupled-tasks scheduling problem.- Tabu search algorithm for single and multi-model line Balancing problems.- A Distributed Model for Manufacturing Scheduling: Approaching the EDGE.- Scheduling jobs on unrelated machines with job splitting and setup resource constraints for weaving in textile manufacturing.- Comparison of metaheuristics and exact method for the dynamic line rebalancing problem.- Modern Analytics and New AI-Based Smart Techniques for Replenishment and Production Planning Under Uncertainty.- A Probabilistic Estimation of Perfect Order Parameters.- Inventory and Commitment Decisions for On-demand Warehousing System.- Effect of Informed Demand Lead Time under Imperfect Advance Demand Information.- Tool for nervousness analysis in a rolling planning environment via historical data.- A Preliminary Overview of Ramp-up Management Practices in Crisis Context.- Optimization of a Periodic Review Joint Replenishment Policy for a Stochastic Inventory System.- CGA-Based Optimal (r, Q) Policy Tuning in Goods Distribution Systems with Complex Topologies.- Multi-period Multi-sourcing Supply Planning with Stochastic Lead-times, Quantity-dependent Pricing, and Delivery Flexibility Costs.- System Identification for Manufacturing Control Applications.- Multi-Step Problem of Inventory Control with Returns.- Expert-Classification Methods for Estimation of the Structure and Parameters of Controlled Queueing Systems.- Simulation Experiment in a Virtual Laboratory Environment as a Ground for Production Competencies Acquiring.- Identification of Nonlinear Dynamic Systems Structured by Expanded Wiener Model.- Data Analysis and Production Process Control.- Management Projects for Digital Ecosystems of Automotive Enterprises: Truck Sharing.- Formation of work plans and schedules at enterprises with conveyor assembly.- Resolution Estimates for Selected Coordinate Descent: Identification of Seismic Structure in the Area of Geothermal Plants.- Product Quality Improvement based on Process Capability Analysis.- Software Architecture for an Active Device Driver in Reconfigurable Manufacturing Systems.- Price-to-Quality Ratio Dependent Demand: Keeping the Intensity of Demand Constant.- Identification of Integrated Rating Mechanisms on Complete Data Sets.- Application of Linear Random Processes to Construction of Diagnostic System for Power Engineering Equipment.- Construction of multi-step price forecasts in commodity markets based on qualitative and quantitative data analysis methods.- The Future of Lean Thinking and Practice.- More checks for less waste in the lamination process of a shipbuilding company pursuing Lean Thinking.- Implementation of 5S+S for knowledge work in engineering projects.- A Lean approach for multi-criteria decision-making in public services' strategy deployment.- Lean Six Sigma in knowledge work: A case study from policing and prosecution services.- Industry and Services: different Organizational Cultures, same Openness to Lean Implementation?.- An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection.- Practical Estimation of the Impact of a Reduction of the Number of Kanban Cards on the Delivery Performance.- Lean Production and industry 4.0 Technologies: Link and interactions.- Heijunka 4.0 - Key Enabling Technologies for Production Levelling in the Process Industry.- Towards an Economic Theory of Lean.- Reshaping the concepts of Job Enrichment and Job Enlargement: the impacts of Lean and Industry 4.0.- Managing Variability in Production.- Realizing value opportunities for a Circular Economy: Integrating Extended Value Stream Mapping and Value Uncaptured Framework.- Exploring the link between lean practices and sources of uncertainty in Supply Chain.- Transition towards Circular Economy: An intraorganizational perspective identifying knowledge wastes.