Column generation for service assignment in cloud-based manufacturing DOI
Zhiyuan Yang, Zheyi Tan, Lu Zhen

et al.

Computers & Operations Research, Journal Year: 2023, Volume and Issue: 161, P. 106436 - 106436

Published: Sept. 29, 2023

Language: Английский

RETRACTED ARTICLE: A nonanticipatory policy for stochastic seru scheduling problems DOI
Zhe Zhang, Xue Gong, Xiaoling Song

et al.

Journal of the Operational Research Society, Journal Year: 2023, Volume and Issue: 75(9)

Published: Feb. 22, 2023

Language: Английский

Citations

4
Seru Scheduling Problems with Multiple Due-Windows Assignment and Learning Effect DOI
Yujing Jiang, Zhe Zhang, Xiaoling Song

et al.

Journal of Systems Science and Systems Engineering, Journal Year: 2022, Volume and Issue: 31(4), P. 480 - 511

Published: July 14, 2022

Language: Английский

Citations

7
Joint decision-making for divisional seru scheduling and worker assignment considering process sequence constraints DOI
Lili Wang, Min Li,

Guanbin Kong

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: 338(2-3), P. 1157 - 1185

Published: May 22, 2024

Language: Английский

Citations

1
A Q-Learning-Based Artificial Bee Colony Algorithm for Distributed Three-Stage Assembly Scheduling with Factory Eligibility and Setup Times DOI Creative Commons
Jing Wang,

Deming Lei,

Mingbo Li

et al.

Machines, Journal Year: 2022, Volume and Issue: 10(8), P. 661 - 661

Published: Aug. 5, 2022

The assembly scheduling problem (ASP) and distributed (DASP) have attracted much attention in recent years; however, the transportation stage is often neglected previous works. Factory eligibility means that some products cannot be manufactured all factories. Although it extensively exists many real-life manufacturing processes, hardly considered. In this study, a three-stage ASP with DPm→1 layout, factory setup times studied, Q-learning-based artificial bee colony algorithm (QABC) proposed to minimize total tardiness. To obtain high quality solutions, Q-learning implemented by using eight states based on population evaluation, actions defined global search neighborhood search, new reward an adaptive ε−greedy selection applied dynamically select operator; two employed swarms are obtained division, phase migration between them added; scout modified restart strategy also presented. Extensive experiments conducted. computational results demonstrate strategies of QABC effective, competitive for considered problem.

Language: Английский

Citations

6
Column generation for service assignment in cloud-based manufacturing DOI
Zhiyuan Yang, Zheyi Tan, Lu Zhen

et al.

Computers & Operations Research, Journal Year: 2023, Volume and Issue: 161, P. 106436 - 106436

Published: Sept. 29, 2023

Language: Английский

Citations

3