[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
Recent research trends in genetic algorithm based flexible job shop scheduling problems
Flexible Job Shop Scheduling Problem (FJSSP) is an extension of the classical Job Shop
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …
Scheduling Problem (JSSP). The FJSSP is known to be NP‐hard problem with regard to …
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem
This paper presents an end-to-end deep reinforcement framework to automatically learn a
policy for solving a flexible Job-shop scheduling problem (FJSP) using a graph neural …
policy for solving a flexible Job-shop scheduling problem (FJSP) using a graph neural …
Flexible job-shop scheduling via graph neural network and deep reinforcement learning
Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching
rules (PDRs) for solving complex scheduling problems. However, the existing works face …
rules (PDRs) for solving complex scheduling problems. However, the existing works face …
Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns
The utilization of real-time information in production scheduling decisions becomes possible
with the help of new developments in Information Technology and Industrial Informatics …
with the help of new developments in Information Technology and Industrial Informatics …
Flexible job shop scheduling via dual attention network-based reinforcement learning
Flexible manufacturing has given rise to complex scheduling problems such as the flexible
job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple …
job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple …
An efficient two-stage genetic algorithm for a flexible job-shop scheduling problem with sequence dependent attached/detached setup, machine release date and lag …
FM Defersha, D Rooyani - Computers & Industrial Engineering, 2020 - Elsevier
In a flexible job-shop scheduling problem (FJSP), an operation can be assigned to one of a
set of eligible machines. Therefore, the problem is to simultaneously determine both the …
set of eligible machines. Therefore, the problem is to simultaneously determine both the …
Energy-aware flexible job shop scheduling under time-of-use pricing
Compromising productivity in exchange for energy-saving does not appeal to capital-
intensive manufacturing industries. However, we might be able to maintain the same …
intensive manufacturing industries. However, we might be able to maintain the same …
An algorithm selection approach for the flexible job shop scheduling problem: Choosing constraint programming solvers through machine learning
Constraint programming solvers are known to perform remarkably well for most scheduling
problems. However, when comparing the performance of different available solvers, there is …
problems. However, when comparing the performance of different available solvers, there is …
Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems
B Liu, Y Zhou, Q Luo, H Huang - Journal of Computational …, 2023 - academic.oup.com
The production scheduling (PS) problem is a challenging task that involves assigning
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …