Lot-Streaming Workshop Scheduling with Operation Flexibility: Review and Extension DOI Creative Commons
Zhiqiang Tian, Xingyu Jiang, Weijun Liu

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 271 - 271

Published: April 9, 2025

Lot-streaming scheduling methods with operation flexibility have been widely used in aerospace, semiconductor, automotive, pharmaceutical and other manufacturing enterprises. Lot-splitting attracted much more attention from academia industry due to an urgent requirement for effective way improve the productivity of flexible workshop scheduling. During past decade, many works made on different lot-streaming The scope this review focuses journal publications collected Web Science database, among which 80% are high-ranked journals. This paper aims provide a comprehensive survey flexibility. First, jobs discussed objectives as well constraints applications summarized. Then, problem models their solution approaches reviewed. Next, research trends applications, modeling recalled. Finally, potential future directions concluded.

Language: Английский

A Deep Reinforcement Learning-Based Evolutionary Algorithm for Distributed Heterogeneous Green Hybrid Flowshop Scheduling DOI Open Access

Hua Xu,

Lan Huang,

Juntai Tao

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 728 - 728

Published: March 3, 2025

Due to increasing energy consumption, green scheduling in the manufacturing industry has attracted great attention. In distributed involving heterogeneous plants, accounting for complex work sequences and consumption poses a major challenge. To address hybrid flowshop (DHGHFSP) while optimising total weighted delay (TWD) (TEC), deep reinforcement learning-based evolutionary algorithm (DRLBEA) is proposed this article. DRLBEA, problem-based heuristic initialization with random-sized population designed generate desirable initial solution. A bi-population global search local used obtain elite archive. Moreover, distributional Deep Q-Network (DQN) trained select best strategy. Experimental results on 20 instances show 9.8% increase HV mean value 35.6% IGD over state-of-the-art method. The effectiveness efficiency of DRLBEA solving DHGHFSP.

Language: Английский

Citations

0
A cooperative discrete artificial bee colony algorithm with Q-learning for solving the distributed permutation flowshop group scheduling problem with preventive maintenance DOI

Wanzhong Wu,

Hongyan Sang,

Quan Pan

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 95, P. 101910 - 101910

Published: March 19, 2025

Language: Английский

Citations

0
Lot-Streaming Workshop Scheduling with Operation Flexibility: Review and Extension DOI Creative Commons
Zhiqiang Tian, Xingyu Jiang, Weijun Liu

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 271 - 271

Published: April 9, 2025

Lot-streaming scheduling methods with operation flexibility have been widely used in aerospace, semiconductor, automotive, pharmaceutical and other manufacturing enterprises. Lot-splitting attracted much more attention from academia industry due to an urgent requirement for effective way improve the productivity of flexible workshop scheduling. During past decade, many works made on different lot-streaming The scope this review focuses journal publications collected Web Science database, among which 80% are high-ranked journals. This paper aims provide a comprehensive survey flexibility. First, jobs discussed objectives as well constraints applications summarized. Then, problem models their solution approaches reviewed. Next, research trends applications, modeling recalled. Finally, potential future directions concluded.

Language: Английский

Citations

0