With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …

The integration of reinforcement learning technology into meta-heuristic algorithms to
address complex combinatorial optimization problems has attracted much attention in recent …

The distributed assembly mixed no-idle permutation flowshop scheduling problem
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …

Distributed shop scheduling problems (DSSPs) have attracted increasing interest in recent
years due to the technical trends of smart manufacturing and Industry 4.0. The distributed …

This work addresses multiobjective dynamic surgery scheduling problems with considering
uncertain setup time and processing time. When dealing with them, researchers have to …

The distributed no-idle permutation flowshop scheduling problem (DNIPFSP) has widely
existed in various manufacturing systems. The makespan and total tardiness are optimized …

Silicon electrodes are widely used in semiconductor etching machines. The periodic
consumption of silicon electrodes has become an important consumable in wafer …

In this paper, the no-wait flow shop problem with earliness and tardiness objectives is
considered. The problem is proven to be NP-hard. Recent no-wait flow shop problem …

With escalating environmental effects, the spotlight on low-carbon manufacturing has
garnered significant attention. The rise of distributed production has emerged as a …

One of the most widely studied problems in flow shop scheduling is not allowing jobs to wait
to be processed at the next stage. This constraint causes the job to be processed …