Out-of-order enabled operating system for uncertain planning, scheduling and execution in aviation maintenance

Journal of Manufacturing Systems, Год журнала: 2025, Номер 80, С. 824 - 840

Опубликована: Апрель 25, 2025

Язык: Английский

Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops

Applied Sciences, Год журнала: 2025, Номер 15(10), С. 5648 - 5648

Опубликована: Май 19, 2025

In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. By constructing incidence to dynamically represent state, proposed method effectively captures both dependencies among operations interaction features between machines. Moreover, Proximal Policy Optimization (PPO) algorithm is leveraged achieve end-to-end optimization decisions. Specifically, FJSP formulated as Markov Decision Process. A heterogeneous enhanced architecture designed extract from operation nodes, machine their relationships. Then, policy generates joint actions for assignment selection, while PPO iteratively refines policy. Finally, validated in aerospace component machining workshop scenario benchmark dataset. Experimental results demonstrate that, compared traditional dispatching rules existing learning techniques, not only achieves superior performance but also maintains excellent balance response efficiency quality.

Язык: Английский

A phased robotic assembly policy based on a PL-LSTM-SAC algorithm

Journal of Manufacturing Systems, Год журнала: 2024, Номер 78, С. 351 - 369

Опубликована: Дек. 25, 2024

Язык: Английский