Resource allocation systems (RASs) belong to a kind of discrete event system commonly
seen in the industry. In such systems, available resources are allocated to concurrently …

There is a lack of research on the flexible job shop scheduling problem (FJSP) considering
limited fixture-pallet resources in multi-product mixed manufacturing workshops. However …

Dynamic scheduling methods are essential and critical to manufacturing systems because of
uncertain events in the production process, such as new job insertions, order cancellations …

Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in
real time and each job may contain several special operations in partial-no-wait constraint …

In this paper, reinforcement learning (RL) with a Q-factor algorithm is used to enhance
performance of the scheduling method proposed for dynamic job shop scheduling (DJSS) …

The job shop scheduling problem (JSSP) with dynamic events and uncertainty is a strongly
NP-hard combinatorial optimization problem (COP) with extensive applications in the …

Job shop scheduling has been the focus of a substantial amount of research over the last
decade and most of these approaches are formulated and designed to address the static job …

The production scheduling problem allocates limited resources to tasks over time and
determines the sequence of operations so that the constraints of the system are met and the …

Random job arrivals that happen frequently in manufacturing practice may create a need for
dynamic scheduling. This paper considers an issue of how to reschedule the randomly …