With the trends of Industry 4.0 spanning physical and virtual worlds, Additive Manufacturing
(AM) has been the mainstream for realizing complex geometries designed in computers …

The shift of traditional mass-producing industries towards mass customisation practices is
nowadays evident. However, if not implemented properly, mass customisation can lead to …

In this paper, we first outline the motivation and the need for a new approach for online
scheduling in flexible manufacturing systems (FMS) based on reinforcement learning (RL) …

Flexible job-shop scheduling problem (FJSP) is an extension of the simple JSP with
additional features of routing flexibility. It is an essential class of sequencing and planning …

This paper presents a hybrid Genetic-Bees Algorithm based optimised solution for the single
machine scheduling problem. The enhancement of the Bees Algorithm (BA) is conducted …

The manufacturing process relies on a well-coordinated schedule that optimally
incorporates all available resources to achieve maximum profit. In the case of machine …

In this paper, a deep Reinforcement Learning (RL) approach for online scheduling in flexible
manufacturing systems (FMS) is presented. When considering multiple jobs with various …

The article deals with the design of an innovative system for scheduling piece and small
series discrete production using a combination of parametric simulation models and …

The resource management in a dynamic environment is a really complex problem. If
semantic constraints are taken into account the complexity increases significantly. The …

Systolic arrays are hardware structures built for fast and efficient operation of regular
algorithms that perform the same task with different data at different time instants. Systolic …