Background: The food sector plays a critical role in promoting population well-being and contributes significantly to economic, social, and environmental development. However, inefficiencies in distribution logistics often result in elevated operational costs, potentially compromising the...

The newsvendor problem with periodic demand (PFNV) is a common and significant challenge in practice, where traditional methods such as optimization, statistical analysis, and artificial intelligence often struggle to balance effectiveness and operability. We propose the Probability-based...

Probabilistic modeling is a fundamental method for assessing uncertainty and analyzing risk in complex systems. This chapter provides a comprehensive review of probabilistic techniques used in risk assessment, highlighting the underlying principles, modeling strategies, and practical...

Natural hazard-triggered technological (Natech) accidents refer to releases of hazardous substances due to natural hazard impacts to technological systems, leading to toxic emission, fire, or explosion events. While relevant EU policy and legislation (e.g., SEVESO III Directive 2012/18/EU) exist...

Prediction methods have garnered significant attention in intelligent decision-making. Most existing approaches to predicting crude oil prices prioritize accuracy and stability while providing precise prediction intervals that can offer valuable insights. Thus far, we introduced a novel hybrid...