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Full Description
Emerging from the International Conference on Optimization, Modeling, Simulation, and Analytics (Hanoi, Vietnam, August 15-16, 2025), this volume brings together selected studies that explore various aspects of optimization, simulation, modeling, and analytics. The contributions cover a wide spectrum of domains, including industrial engineering, supply chain management, healthcare, finance, and other related fields.
The book provides a comprehensive analysis of contemporary operational challenges and state-of-the-art approaches developed to address them. The topics encompass techniques and applications in operations management, e-commerce, security, healthcare matching, and hospitality, among others. By integrating modern analytical tools—such as optimization models, simulation, data science, and artificial intelligence—the chapters illustrate how these methodologies can be effectively applied to enhance efficiency, adaptability, and sustainability in real-world systems.
With its integrated and interdisciplinary perspective, this volume offers a holistic understanding of how optimization and intelligent technologies can transform complex decision-making environments. It serves as a valuable reference for researchers, practitioners, and policymakers interested in advancing analytical and optimization-based solutions to contemporary operational and managerial problems.
Contents
Optimizing Production and Inventory Dynamics: An Advanced EPQ Model for Modern Supply Chains.- Time-Resolved Exergy Optimization of Hybrid Solar Dryers Using Finite Element Modeling and Multi-Dimensional Trade Off Analysis.- An adaptive algorithm utilizing the Fama-French three-factor model for improving portfolios.- Enhancing Learning to Cuts Approach for Solving NP-hard Problems.- Ruin probabilities of risk models with dependent claim sizes.- A Simulation-based Optimization Approach for Patient Admission Scheduling Problem Under Uncertainty.- Ultrasonic material characterization using physics-informed deep learning.- A Hybrid Genetic Search for Energy-Aware Multi-Trip Drone Routing With TIme Windows.- A Continuous-Time Framework for Adaptive Asset Allocation.- Complete Coverage Path Planning Framework for Oil Tank Inspection Robots in Unstructureed Environments.- Implementing Computer Vision for Pipeline Defect Detection.- Addressing data imbalance to enhance water level forecasting quality.- An efficient branch-and-bound algorithm for solving a new variant of the university course timetabling problem.- Multi-Goal Path Planning for Multi-Robot Systems in Dynamic Environments Using Hybrid A* Algorithm and Dynamic Window Approach.- Vehicle to Grid Based Smart Charging Strategy for Electric Vehicles in Urban Microgrids: A Case Study in Ho Chi Minh City.- Cost Optimization in Choice-based Competitive Facility Location: An Exact Approach.- Learning from the Crowd: LLMs as Expert Filters for Multi-Agent Decision Making.- Facial Expression Recognition with Identity-Normalized Landmark Features.- A Dynamic Disruption Recovery Model for Multi-Layer Supply Networks.- Examining the Nexus between Green Growth Indicators and Economic Growth: Panel Data Evidence and Policy Insights.- Electric Traveling Salesperson Problem with Wireless Charging Lanes: A Mathematical Programming Approach.- Impact of Different Contents generated by Human and AI on Social Media Engagement.- Deep Temporal-Spatial Learning for Early Prediction of Human Blastocyst Formation from Time-Lapse Videos.- Comparative Analysis of Temporal Deep Learning Models for Flood Level Forecasting: A Case Study in the Gianh River Basin.- Transparent AI for Disaster Management: Explainable Landslide Prediction Models to Support Decision-Making.- A Scenario-Based Optimization Model for Seasonal Procurement Under Demand Uncertainty.- An Integrated Fuzzy MCDM-Stochastic Optimization Approach for Sustainable and Resilient Supplier Selection and Order Allocation Under Pandemic Disruptions.
