.- Human-centred Work Systems for the Operator 4.0/5.0 in Manufacturing, Logistics, and Service Domains.
.- Industrial work instructions with DIGA.
.- Robotic Process Automation: A Qualitative Journey through RPA's Impacts on Company Employees.
.- Human-Centered Augmented Reality in Manufacturing: Enhancing Efficiency, Accuracy, and Operator Adoption.
.- How Industry 4.0 Technologies Are Evolving to Industry 5.0 - A Systematic Literature Review.
.- Technocontrol and Technoaugmentation Stress: Expanding the Framework of Technostress in Response to Emerging Workplace Technologies.
.- Teaching Method for Industrial Robots That Reduces Positioning Errors Caused by Look-Ahead Control.
.- Organizational barriers to the operator 4.0, operator 5.0 and human-centricity paradigms: A mixed methods study.
.- From Proactive to Embodied Collaboration: A System-Centric Approach to Advancing HRC Quality.
.- Eye-Guided Human-Robot Collaborative Assembly: A Feasibility Study.
.- Developing Code Agents for Robot Programming: Technical and Managerial Perspectives.
.- The impact of work instruction simplification on operator performance and learning curve efficiency.
.- Integration of Human Learning and Complexity Effects in Production Ramp-up Cost.
.- Evaluating User-Centered Visualizations of Traffic Anomalies: A User Study.
.- Inside-out: an exploratory study of the emotional profile of industrial operators for human-centric factories and empathic AI assistants.
.- Architecture for Dynamic Process Safety Management using Digital Twin and Machine Learning.
.- AI Cockpit: A Meaningful Human Control Interface for Mitigating AI Risks for Hybrid Intelligence Systems.
.- AI-Driven Decision Support and Human-AI Collaboration for Smart and Sustainable Supply Chains.
.- Transfer Learning for Transportation Cost Prediction in Modular Construction.
.- Distribution-Focused Clustering for Revealing Patterns in Container Logistics.
.- Deep Reinforcement Learning for Multi-stage Inventory Optimization with Agent-based Supply Chain Simulator.
.- AI-enhanced demand forecasting: a design science approach.
.- Perceptions and Trust in AI-Driven Decision Support Systems in Supply Chain Management.
.- Machine learning-based cost estimation approach for Innovative products in furniture manufacturing.
.- Intelligent Conceptual Architecture as a Proposal for Integration of Artificial Intelligence for Accident Prevention with Heavy Equipment.
.- Evaluating Crowdsourcing Logistics Platforms in São Paulo and Rio de Janeiro, Brazil.
.- Soybean Logistics Corridor in Brazil: A Route Analysis Using AHP/ANP.
.- Integrating System Dynamics and Machine Learning in Environmental Studies: A Literature Review.
.- Improving Quality Management through AI-Powered 8D-Reports.
.- Digital Twins and AI for Dynamic Scheduling and Human-Centric Applications.
.- Multi-objective optimization of worker assignment for manual assembly production lines: A genetic approach.
.- Feasibility study on the interactive AI scheduling with LLM technology for human-centric Industry 5.0.
.- Reinforcement Learning in Production Control: A Deep Dive into Order Release.
.- Graph Attention Network based Deep Reinforcement Learning Approach for Dynamic Human Order Picking.
.- Digital Twins as a vector of convergence between Operational Technology (OT) and Information Technology (IT).
.- Digital Twin for Intelligent Production Management using AI Computer Vision and Proactive Simulation.
.- A Human Digital Twin Approach to Physical Hazard Management in the Manufacturing Environment: An Extensive Literature Review with a Conceptual Framework.
.- Extending ISO 23247: A Production Logistics Information Model for Integrated Digital Twins.
.- Integrating Large Language Models and Digital Twins in Manufacturing: Opportunities and Challenges for Production Logistics and Assembly Environments.
.- Automating Task Monitoring in Industrial Setting using Combined Gesture Recognition and Object Detection.
.- Computer Vision-based Environmental Perception for a Collaborative Robot.
