Dynamic scheduling for aircraft mobile production line considering material supply interference

被引:0
作者
Lu B. [1 ]
Lu Z. [1 ]
机构
[1] School of Mechanical Engineering, Tongji University, Shanghai
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 08期
基金
中国国家自然科学基金;
关键词
Aircraft mobile production line; Dynamic scheduling; Material supply; Rolling decision; Uncertainty;
D O I
10.13700/j.bh.1001-5965.2019.0500
中图分类号
学科分类号
摘要
To solve the problem of material supply delay during the assembly process of aircraft, the assembly operation scheduling problem of aircraft mobile production line is studied. Through the dynamic analysis of material supply information, reactive scheduling decisions were divided into fixed decisions and predictive decisions in different scenarios, and a dynamic scheduling framework in the environment of material supply interference was established. At each rolling decision point, a two-stage approximate optimization model was established with the objective function of minimizing the expected weighted sum of the deviation from the template plan and the makespan. On the basis of the decision logic of the model, a two-stage tabu search based heuristic was designed to solve the optimization problem of each rolling decision point. Numerical experiments with different scales indicate that the proposed dynamic scheduling method can effectively utilize the constantly updated material supply information to obtain scheduling results which is close to the posterior exact solution, and compared to the traditional scheduling strategies, the proposed method can more effectively deal with the interference of material supply. © 2020, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:1521 / 1534
页数:13
相关论文
共 18 条
[1]  
LU H, LIU X, PANG W, Et al., Modeling and simulation of aircraft assembly line based on quest, Advanced Materials Research, 569, pp. 666-669, (2012)
[2]  
ZHENG Q, XI L F., Heuristics for aircraft moving assembly line scheduling problem, Industrial Engineering & Management, 20, 2, pp. 116-121, (2015)
[3]  
SHAN S, HU Z, LIU Z, Et al., An adaptive genetic algorithm for demand-driven and resource-constrained project scheduling in aircraft assembly[J], Information Technology and Management, 18, 1, pp. 41-53, (2017)
[4]  
HU X M, LU Z Q., Optimization of aircraft moving assembly line scheduling problem considering material delivery, Journal of Beijing University of Aeronautics and Astronautics, 44, 12, pp. 2573-2582, (2017)
[5]  
BANERJEE A G, YUND W, YANG D, Et al., A hybrid statistical method for accurate prediction of supplier delivery times of aircraft engine parts[C], Proceedings of the ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, pp. 286-295, (2015)
[6]  
CHTOUROU H, HAOUARI M., A two-stage-priority-rule-based algorithm for robust resource-constrained project scheduling, Computers & Industrial Engineering, 55, 1, pp. 183-194, (2008)
[7]  
VAN DE VONDER S, DEMEULEMEESTER E, HERROELEN W., Proactive heuristic procedures for robust project scheduling:An experimental analysis, European Journal of Operational Research, 189, 3, pp. 723-733, (2008)
[8]  
CHAKRABORTTY R K, SARKER R A, ESSAM D L., Resource constrained project scheduling with uncertain activity durations, Computers & Industrial Engineering, 112, pp. 537-550, (2017)
[9]  
BRUNI M E, DI PUGLIA PUGLIESE L, BERALDI P, Et al., An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations, Omega, 71, pp. 66-84, (2016)
[10]  
LAMBRECHTS O, DEMEULEMEESTER E, HERROELEN W., Proactive and reactive strategies for resource-constrained project scheduling with uncertain resource availabilities, Journal of Scheduling, 11, 2, pp. 121-136, (2008)