Mixed-model assembly and lot streaming are two key technologies to improve efficiency and
reduce setups in a multi-variety and small-batch discrete manufacturing environment. Yet …

In traditional scheduling, job processing times are assumed to be fixed. However, this
assumption may not be applicable in many realistic industrial processes. Using the job …

Dynamic flexible job shop scheduling is an important but difficult combinatorial optimisation
problem that has numerous real-world applications. Genetic programming has been widely …

Abstract The Travelling Salesman Problem (TSP) is a well-known optimisation problem that
has been widely studied over the last century. As a result, a variety of exact and approximate …

Abstract Space Surveillance Network (SSN) task scheduling plays a crucial role in
maintaining the catalog of Resident Space Objects (RSO). However, various emergencies …

The vehicle routing problem (VRP) is one of the most interesting NP-Hard problems due to
the multitude of applications in the real world. This work tracks a VRP with zone-based …

In recent years, the growing interest in environmental sustainability has led to Electric
Vehicle Routing Problems (EVRPs) attracting more and more attention. EVRPs involve the …

The objective of this article is to analyse and evaluate the effectiveness of predictive
maintenance for machines performing key functions within a production structure. This …

Over the past decade, the surge in global container port throughput has heightened the
demand for terminal efficiency, with the container yard operations being central to the overall …

In this study, machine scheduling with variable capacity over time (SVCap) is investigated.
The machine capacity is the maximum number of jobs that a machine can process at a time …