One of the most significant disruptive events of the 21st century was the COVID-19 epidemic, which was first detected in China in 2019 and quickly spread around the world. While waiting for the development of the vaccine, governments used a variety of strategies to counteract the effects of the...

Sustainable supply chains are essential for promoting environmental responsibility, economic efficiency, and social well-being. They help reduce carbon footprints, optimize resource use, and support circular economy initiatives. Economically, they enhance efficiency, lower costs, and mitigate...

This article provides an overview of the current state-of-the-art in cyber risk and cyber risk management, focusing on the mathematical models that have been created to help with risk quantification and insurance pricing. We discuss the main ways that cyber risk is measured, starting with...

The increasingly complex and globalized business environment demands effective data integration and management to support decision-making. Enterprise Resource Planning (ERP) systems play a pivotal role in managing and integrating information in modern organizations, particularly within the...

As digital content continues to evolve, enhancing Information Retrieval (IR) systems is crucial to improve their performance, relevance, and ability to handle increasingly large datasets. This systematic review examines current advancements in IR optimization strategies, with a focus on the...

Predicting delivery delays is crucial for companies, especially in times of increasing global uncertainty and vulnerable supply chains. Machine learning (ML) offers significant potential to improve the forecast performance and quality of delivery delay prediction. Although various prediction...

Multi-objective optimization problems (MOPs) are common in real-world applications, including scheduling, vehicle routing, and engineering design. A key challenge in solving MOPs is balancing convergence and diversity, as these problems often involve conflicting objectives and complex...