The integration of diverse clean energy sources poses both challenges and opportunities for future energy systems. A critical issue that necessitates attention is the uncertainty related to clean energy production, as well as the complexities involved in optimizing its scheduling. This study...

Production scheduling is critical in manufacturing operations, requiring the optimal assignment of limited resources. This paper introduces a novel generalization of the Unrelated Parallel Machine (UPM) problem, addressing key real-world complexities: sequence- and machine-dependent setup times,...

This research focuses on modeling and solving a bi-objective hybrid flow shop scheduling problem, considering uncertain job-dependent setup times and worker constraints. The main objective of the mathematical model is to simultaneously minimize the Maximum Completion Time (Cmax) and minimize the...

Urban railway systems are crucial components of sustainable public transportation but face significant operational costs due to energy consumption and maintenance needs. This study develops a novel optimization framework that integrates regenerative braking strategies and Internet of Things...