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.
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.
Joćo Carlos Gonēalves 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 Gaudźncio Mendonēa 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 Sćo Paulo, Brazil, and an Associate Researcher at ITEGAM Galileo Technological Institute of Amazōnia, 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.
Āngelo Mįrcio Oliveira SantAnna 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 Paranį (Graduate Program in Production and Systems Engineering).
