Cited by Hub production scheduling problem with mold availability constraints

Flow Shop Scheduling for Prefabricated Components Production Considering Parallel Machines and Buffer Constraints DOI

Miao Yu,

W. Ruan,

Ying Zhou

et al.

Journal of Construction Engineering and Management, Journal Year: 2025, Volume and Issue: 151(4)

Published: Jan. 22, 2025

Language: Английский

Citations

Collaborative cloud-edge task scheduling scheme in the networked UAV Internet of Battlefield Things (IoBT) territories based on deep reinforcement learning model DOI

Mustafa Ibrahim Khaleel

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111156 - 111156

Published: Feb. 1, 2025

Language: Английский

Citations

Process parameter optimisation method based on data-driven prediction model and multi-objective optimisation for the laser metal deposition manufacturing process monitoring DOI

Ziqian Wu, Li Chen, Chao Zhang

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111108 - 111108

Published: April 1, 2025

Language: Английский

Citations

A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem DOI

Xixing Li, Ao Guo, Xiyan Yin

et al.

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 80, P. 794 - 823

Published: April 24, 2025

Language: Английский

Citations

An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account DOI

Zhilie Gao,

Ni Chen,

Yingfei Yang

et al.

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116075 - 116075

Published: Oct. 1, 2024

Language: Английский

Citations

A modified multi-agent proximal policy optimization algorithm for multi-objective dynamic partial-re-entrant hybrid flow shop scheduling problem DOI

Jiawei Wu, Yong Liu

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 140, P. 109688 - 109688

Published: Nov. 27, 2024

Language: Английский

Citations

Hub Production Scheduling Problem with Mold Availability Constraints DOI

Bo Tian,

Wenjian Xu, Feng Wang

et al.

Published: Jan. 1, 2024

This research delves into a scheduling challenge inherent in the wheel hub casting process, critical stage automotive manufacturing. The process involves shaping molten metal specific designs using dedicated molds. Diverse customer demands necessitate unique mold for each design, posing due to limited availability of these expensive and long-lasting There are 2 machines available casting. Each design requires mold. These molds expensive, long-lasting, need periodic maintenance. objective function is minimize total time (makespan) complete all jobs. Only one job requiring can be processed at (due limitations). Molds unavailable during maintenance periods. lies jobs considering both machine constraints overall production time. We formulate mathematical model mixed integer programming precisely represent problem its constraints. Inspired by Longest Processing Time (LPT) rule, we propose heuristic named LRTPT efficiently schedule on two machines. For large-scale problems, employ novel SIAIS algorithm find near-optimal solutions effectively. also present branch bound specifically tailored solve smaller-sized instances problem. leverages lower bounds several dominance properties expedite search optimal solution. To evaluate effectiveness our proposed approaches, conduct series comprehensive experiments. results demonstrate that significantly outperforms widely used optimization solver CPLEX smaller problems. Furthermore, proves more efficient than existing heuristics.

Language: Английский

Citations

Hub production scheduling problem with mold availability constraints DOI

Bo Tian,

Wenjian Xu, Feng Wang

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 196, P. 110488 - 110488

Published: Aug. 22, 2024

Language: Английский

Citations