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This proceedings gathers selected, peer-reviewed papers presented at the XXX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held from June 26 to 28, 2024, in Salvador, Brazil. The works in this volume explores critical areas such as Supply Chain risk models, last-mile delivery optimization, stochastic inventory models, and human development focusing on digital training for operations management in emergencies.
Tailored to benefit academics, the volume comprises studies predominantly rooted in real-world case studies, systematic, and meta-reviews, offering valuable insights also for professionals within the industrial sector by presenting solutions to intricate industrial challenges.
João Carlos Gonçalves dos Reis is an Assistant Professor of Services Management, Operations Management, and Logistics at Lusófona University in Lisbon, Portugal. His research focus lies in the domains of Service Science, Industrial Engineering, and Operations Management.
Francisco Gaudêncio Mendonça Freires is an Associate Professor in the Department of Mechanical Engineering at the Federal University of Bahia (UFBA) Polytechnic School. He also works in the Graduate Program in Industrial Engineering at UFBA, currently researching renewable energy alternatives from the supply chain management perspective.
Milton Vieira Junior is an Assistant Professor at Mackenzie Presbyterian University, in São Paulo, Brazil, and an Associate Researcher at ITEGAM - Galileo Technological Institute of Amazônia, Manaus, Brazil. His research focus lies on Production Management, Competitiveness, and Industry 4.0.
Rafael Garcia Barbastefano holds a PhD in Engineering (Research Operations and Production Management) from the Federal University of Rio de Janeiro (2002). He is a Full Professor at the Celso Suckow da Fonseca Federal Center for Technological Education.
Ângelo Márcio Oliveira Sant'Anna is an Adjunct Professor at the Federal University of Bahia, in the Department of Mechanical Engineering. He also works as a Collaborating Professor at the Pontifical Catholic University of Paraná (Graduate Program in Production and Systems Engineering).
1 Greening the European Defense Industry.- 2 Use of Artificial Neural Networks and Decision Tree for Defaulters' Prediction.- 3 Proposal for an Optimized Model to Analyze Customer Satisfaction.- 4 Mechatronic Framework for Smart Beehives.- 5 Digital Fashion.- 6 Computer Vision as a Resource in Smart Warehouses.- 7 Port Logistics Emissions Control Using Machine Learning to Coordinate the Truck Flow.- 8 Evolution of Logistics Service Providers.- 9 Reinforcement Learning and Discrete Event Simulation Applied to Production Scheduling.- 10 A Simulation Model to Determine Production Shifts for Pallet Packaging.- 11 The Enhanced Factory for Extra-terrestrial Space Technology Operations.- 12 Digital Twins in Asset Prognosis and Health Management.- 13 Benefits of ERP Information Systems in ESG Management Within Organizations.- 14 An Assignment Model for High-Cognitive-Workload Maintenance Activities in Industry 5.0.- 15 Forecast of Brazilian GDP Growth Through Consumption of Diesel Oil and Electrical Energy.- 16 Impact of Distribution Configurations on Supply Chain Performance.- 17 Lean Healthcare Management Through Kaizen in a Public Brazilian Hospital.- 18 Multicriteria Decision Analysis for Natural Risk Management Context.- 19 Assessment of a Project Management Maturity Diagnostic Tool.- 20 Utilizing GPT-4 in the Selection of Health-tech Startups for a Brazilian Acceleration Program.- 21 Applicability Analysis of the Power BI with the OKR Methodology in the Strategic Planning Enhancement.- 22 Optimization Model for the Design of Cycling Networks.- 23 Impact of Transformational Leadership on Industry Management in the Context of Digital Transformation.- 24 Integrating Predictive Analysis into Manufacturing Operations.- 25 Lessons Learned about Scope 3 Emissions from Companies Serving the Oil and Gas Industry.- 26 Corporate Sustainability and Big Data.- 27 Optimizing Maintenance and Reducing Operating Costs by Analyzing Big Data and Applying Random Forest to Machine Operating Data.- 28 Circular Supply Chain.- 29 An Application of a Hybrid Structural-Interpretative Modeling for Plastic Waste Management Performance.- 30 Wave of Change.- 31 Management Model for Metropolitan Train Maintenance.- 32 Customer Satisfaction in Tourism Services Center.- 33 Industry 4.0 Maturity Assessment Model.- 34 Enhancing Efficiency in the Oil and Gas Industry Through Digital Twins.- 35 Improving Outsourcing.- 36 Development of a Causal Loop Diagram to Understand the Complexity of a Food Bank's Supply Chain Processes.- 37 Performance Monitoring Dashboard for Photovoltaic Plant Maintenance Practices.
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