In modern Industry 4.0 environments, real-time scheduling presents a complex challenge requiring both formal correctness guarantees and optimal performance. Background: Traditional approaches fail to provide an optimal integration between formal correctness guaranteeing and optimization, and...

Effective management of fuel logistic distribution is essential for ensuring timely supply chain operations and achieving product sustainability. This study employs systematic literature mapping (SLM) to identify gaps in research and potential advancements in Supply Chain Management (SCM) for...

Purpose: Research suggests that material handling costs account for 20-50% of production costs. Furthermore, these production cost could be reduced by 10-30% by dynamically changing the layout. We propose an integer programming model to sustainably solve plant layouts in a financially...

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...

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...

Food insecurity remains a global challenge that demands efficient and equitable logistical solutions, especially in the distribution of food aid. This study addresses the Two-Echelon Vehicle Routing Problem (2E-VRP) in foodbank logistics by proposing a novel multi-objective optimization...