An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …

Job shop scheduling problems (JSSPs) represent a critical and challenging class of
combinatorial optimization problems. Recent years have witnessed a rapid increase in the …

According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering:
Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production …

In the modern age of Industry 4.0 and manufacturing servitisation, energy saving and
environment consciousness are regarded as vital themes in manufacturing processes to …

The distributed blocking flowshop scheduling problem (DBFSP) with new job insertions is
studied. Rescheduling all remaining jobs after a dynamic event like a new job insertion is …

An efficient and flexible production system can contribute to production solutions. These
advantages of flexibility and efficiency are a benefit for small series productions or for …

Efficient task scheduling in heterogeneous computing environments is imperative for
optimizing resource utilization and minimizing task completion times. In this study, we …

Real-world production scheduling scenarios are often not discrete, separable, iterative tasks
but rather dynamic processes where both external (eg, new orders, delivery shortages) and …

A multi‐agent iterative optimisation method based on deep reinforcement learning is
proposed for the balancing and sequencing problem in mixed model assembly lines. Based …

This systematic review offers a comprehensive analysis of scheduling algorithms designed
for scientific workflows, particularly those handling Big Data. By examining research …