@inproceedings{335184043ac4429b9bd8d98bb5a92dea,
title = "FiLM-Conditioned Cross-Attention Multi-Objective Reinforcement Learning Algorithm for Dynamic Seru Production System Reconfiguration",
abstract = "Seru production systems (SPSs), enhancing flexibility and responsiveness compared to traditional assembly lines, face challenges in addressing demand uncertainty characterized by unpredictable and time-varying customer orders. This study proposes a novel bi-objective optimization model for the dynamic seru reconfiguration problem, aiming to simultaneously minimize tardiness and operational cost. We develop a multi-objective reinforcement learning algorithm incorporating a FiLM-conditioned cross-attention mechanism. Computational results demonstrate that our method significantly improves the handling of demand uncertainty, advancing practical production decision-making in dynamic SPS environments.",
keywords = "Multi-objective reinforcement learning, Reconfiguration, Responsiveness, Seru production system, Tardiness cost",
author = "Zihan Lan and Yaoxin Zhang and Hongbo Jin and Dongni Li",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 38th Chinese Control and Decision Conference, CCDC 2026 ; Conference date: 15-05-2026 Through 18-05-2026",
year = "2026",
doi = "10.1109/CCDC69976.2026.11559835",
language = "English",
series = "38th Chinese Control and Decision Conference, CCDC 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3540--3546",
booktitle = "38th Chinese Control and Decision Conference, CCDC 2026",
address = "United States",
}