A Hybrid Heuristic Algorithm for Rotating Seru Scheduling Problems with Learning Effects DOI
Zhe Zhang, Xiaotian Pan

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Journal Year: 2023, Volume and Issue: unknown, P. 1542 - 1546

Published: Dec. 18, 2023

To fast respond the volatile product demand in current fluctuant market environment, this paper centers on issue of production scheduling problems with DeJong's learning effect seru system (SPS). A rotating mixed-integer programming (MIP) model is constructed for minimizing makespan, and a hybrid heuristic algorithm designed accordingly, which advantages genetic simulated annealing are integrated. demonstrate effectiveness proposed MIP algorithm, numerical experiments made finally. Computational results presented analyzed, sensitivity analysis also to provide managerial insights SPS managers.

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RETRACTED ARTICLE: A nonanticipatory policy for stochastic seru scheduling problems DOI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

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

Models and algorithms for configuring and testing prototype cars DOI Creative Commons
François Clautiaux, Siham Essodaigui,

Alain Nguyen

et al.

Computers & Operations Research, Journal Year: 2024, Volume and Issue: 173, P. 106834 - 106834

Published: Sept. 17, 2024

Language: Английский

Citations

0

A strip-packing constructive algorithm with deep reinforcement learning for dynamic resource-constrained seru scheduling problems DOI

Yiran Xiang,

Zhe Zhang, Xue Gong

et al.

Soft Computing, Journal Year: 2024, Volume and Issue: 28(17-18), P. 9785 - 9802

Published: July 26, 2024

Language: Английский

Citations

0

Principles on balancing divisional seru with cross-trained workers DOI
Yalin Li, Zhe Zhang

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 200, P. 110793 - 110793

Published: Dec. 11, 2024

Language: Английский

Citations

0

An exact branch-and-bound algorithm for <i>seru</i> scheduling problem with sequence-dependent setup time and release date DOI Open Access

Xiaohong Zhang,

Zhe Zhang, Xiaoling Song

et al.

Journal of Industrial and Management Optimization, Journal Year: 2023, Volume and Issue: 20(4), P. 1662 - 1702

Published: Oct. 18, 2023

This paper concentrates on the scheduling problem in seru production system (SPS), which is a new-type advanced with high manufacturing flexibility to response volatile market. Motivated by practical scenarios, this considers sequence-dependent setup time and release date minimize total weighted tardiness. A mixed integer programming (MIP) model formulated, branch-and-bound (B & B) algorithm combining dominance propositions lower bound strategy designed subsequently. Finally, computational experiments are conducted. series of experimental results show that proposed B performs very well finding high-quality solutions, it can find exact near-exact solutions for 216 randomly generated instances quickly. Even when CPLEX unable solve problems five-hour, return optimal as many 5 serus 22 products short CPU time.

Language: Английский

Citations

0

A Hybrid Heuristic Algorithm for Rotating Seru Scheduling Problems with Learning Effects DOI
Zhe Zhang, Xiaotian Pan

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Journal Year: 2023, Volume and Issue: unknown, P. 1542 - 1546

Published: Dec. 18, 2023

To fast respond the volatile product demand in current fluctuant market environment, this paper centers on issue of production scheduling problems with DeJong's learning effect seru system (SPS). A rotating mixed-integer programming (MIP) model is constructed for minimizing makespan, and a hybrid heuristic algorithm designed accordingly, which advantages genetic simulated annealing are integrated. demonstrate effectiveness proposed MIP algorithm, numerical experiments made finally. Computational results presented analyzed, sensitivity analysis also to provide managerial insights SPS managers.

Language: Английский

Citations

0