TY - GEN
T1 - Manufacturing Task Scheduling Optimization with Buffer Zones using Parallel Advantage Actor-Critic Algorithm
AU - Zeng, Wenjing
AU - Guo, Xiwang
AU - Wang, Jiacun
AU - Tang, Ying
AU - Wang, Weitian
AU - Hu, Bin
AU - Wang, Nan
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With the diversification of market demands and the limited availability of production resources, optimizing the allocation of manufacturing tasks within the constraints of limited workstation resources becomes increasingly important. This study explores the workstation buffer zone disassembly-assembly line balancing problem, aiming to improve the operational area of workstations and reduce component transportation costs. Based on the characteristics of the problem, a computational model is developed to maximize the recovery profit. To facilitate the search for an optimal solution, the parallel advantage actor-critic (PA2C) algorithm is used to address this problem, and the feasibility of the developed approach in disassembly and assembly lines is analyzed. Comparisons with AC and the original A2C suggest the competitive performance of the proposed solution.
AB - With the diversification of market demands and the limited availability of production resources, optimizing the allocation of manufacturing tasks within the constraints of limited workstation resources becomes increasingly important. This study explores the workstation buffer zone disassembly-assembly line balancing problem, aiming to improve the operational area of workstations and reduce component transportation costs. Based on the characteristics of the problem, a computational model is developed to maximize the recovery profit. To facilitate the search for an optimal solution, the parallel advantage actor-critic (PA2C) algorithm is used to address this problem, and the feasibility of the developed approach in disassembly and assembly lines is analyzed. Comparisons with AC and the original A2C suggest the competitive performance of the proposed solution.
UR - https://www.scopus.com/pages/publications/105018300342
UR - https://www.scopus.com/pages/publications/105018300342#tab=citedBy
U2 - 10.1109/CASE58245.2025.11164104
DO - 10.1109/CASE58245.2025.11164104
M3 - Conference contribution
AN - SCOPUS:105018300342
T3 - IEEE International Conference on Automation Science and Engineering
SP - 375
EP - 380
BT - 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
PB - IEEE Computer Society
T2 - 21st IEEE International Conference on Automation Science and Engineering, CASE 2025
Y2 - 17 August 2025 through 21 August 2025
ER -