扰动下离散再制造系统瓶颈漂移波动性分析

doi:10.16182/j.issn1004731x.joss.21-1335

摘要/Abstract

摘要：

综合考虑离散再制造系统各生产过程对瓶颈度的影响，在观测阶段连续多次采集数据建立区间瓶颈指数矩阵，得到设备综合瓶颈指数，以此为识别依据。针对离散再制造系统不确定环境下的瓶颈漂移波动性问题，以区间瓶颈指数矩阵、综合瓶颈指数为基础，构建包括系统敏感系数、机器敏感系数和瓶颈漂移判断模型的可视化动态分析的理论 方法。采用离散事件仿真案例，获得各机器加工生产的实时数据，实现瓶颈漂移的可视化，并采用正交实验方法研究扰动环境下扰动因素对瓶颈漂移波动性产生的影响。

关键词: 区间瓶颈指数矩阵, 敏感系数, 可视化, 正交实验, 漂移波动性分析

Abstract:

Considering comprehensively the influence of each production process on the bottleneck degree of discrete remanufacturing system, the interval bottleneck index matrix is established by collecting data repeatedly in the observation stage to obtain the comprehensive bottleneck index of equipment, which is used as the identification basis. Aiming at the volatility of bottleneck drift in the uncertain environment of discrete remanufacturing system, based on the interval bottleneck index matrix and comprehensive bottleneck index, a theoretical method of visual dynamic analysis including system sensitivity coefficient, machine sensitivity coefficient and bottleneck drift judgment model is established. The discrete event simulation case is used to obtain the real-time data of each machine and realize the visualization of the bottleneck drift. The orthogonal experiment method is used to study the influence and degree of the disturbance factors on the volatility of the bottleneck drift in the disturbed environment.

Key words: interval bottleneck, sensitive coefficient, visualization, orthogonal experiment, drift volatility analysis

中图分类号:

TP391.9

周勇樟, 王艳, 纪志成. 扰动下离散再制造系统瓶颈漂移波动性分析[J]. 系统仿真学报, 2023, 35(4): 809-821.

Yongzhang Zhou, Yan Wang, Zhicheng Ji. Bottleneck Drift Fluctuation Analysis of Discrete Remanufacturing System under Disturbance[J]. Journal of System Simulation, 2023, 35(4): 809-821.

图/表 15

图1

图2

图3

表1

表2

图4

图5

图6

表3

表4

机器敏感系数

NO.	$V I B P, 1$	$V I B P, 2$	$V I B P, 3$	$V I B P, 4$	$V I B P, 5$	$V I B P, 6$
1	0.073	0.002	0.985	0.404	0.765	0.810
2	0.001	0.073	0.863	0.679	0.952	0.999
3	0.001	0.153	0.776	0.755	1.000	0.921
4	0.021	0.043	0.993	0.142	0.434	0.565
5	0.008	0.044	0.973	0.364	0.618	0.611
6	0.056	0.001	0.998	0.582	0.831	0.718
7	0.007	0.034	1.000	0.015	0.216	0.266
8	0.011	0.041	1.000	0.171	0.433	0.393
9	0.007	0.029	1.000	0.346	0.565	0.471
10	0.011	0.128	1.000	0.218	0.543	0.631
11	0.004	0.163	1.000	0.343	0.677	0.484
12	0.013	0.161	1.000	0.505	0.383	0.529
13	0.002	0.242	0.774	0.191	0.822	1.000
14	0.001	0.211	0.767	0.394	1.000	0.599
15	0	0.352	0.931	0.861	0.658	0.989
16	0.241	0.001	1.000	0.276	0.655	0.755
17	0.305	0	1.000	0.445	0.816	0.540
18	0.295	0	1.000	0.598	0.451	0.628
19	0.002	0.298	1.000	0.243	0.141	0.683
20	0	0.361	1.000	0.475	0.484	0.766
21	0	0.321	1.000	0.625	0.521	0.705
22	0.113	0.004	1.000	0.177	0.637	0.519
23	0.111	0.003	1.000	0.357	0.387	0.587
24	0.114	0.002	1.000	0.507	0.533	0.455
25	0.272	0.002	0.774	0.143	1.000	0.785
26	0.050	0.016	0.897	0.475	0.558	1.000
27	0.262	0	0.989	0.826	0.982	0.685

表4

图7

图8

图9

图10

图11

参考文献 16

1	王军强, 孙树栋, 李翌辉. 考虑外包能力拓展的TOC产品组合优化研究(I)[J]. 系统仿真学报, 2006, 18(11): 3287-3293.
	Wang Junqiang, Sun Shudong, Li Yihui. Research on TOC Product Portfolio Optimization Considering Outsourcing Capability Expansion(I)[J]. Journal of System Simulation, 2006, 18(11): 3287-3293.
2	潘春荣, 黎良. 印刷包装生产线的建模与仿真分析[J].系统仿真学报, 2014, 26(12): 2996-3002.
	Pan Chunrong, Li Liang. Modeling and Simulation Analysis of Printing and Packaging Production Line[J].Journal of System Simulation, 2014, 26(12): 2996-3002.
3	Yan Z, Gu H, Xi Y. Modified Bottleneck-Based Heuristic for Large-Scale Job-Shop Scheduling Problems with a Single Bottleneck[J]. Journal of Systems Engineering and Electronics(S1004-4132), 2007, 18(3): 556-565.
4	Qi Lei, Tong Li. Identification Approach for Bottleneck Clusters in a Job Shop Based on Theory of Constraints and Sensitivity Analysis[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture(S0954-4054), 2017, 231(6): 1091-1101.
5	Chen Chunlung, Chen Chuenlung. A Bottleneck-Based Heuristic for Minimizing Makespan in a Flexible Flow Line with Unrelated Parallel Machines[J]. Computers & Operations Research(S0305-0548), 2009, 36(11): 3073-3081.
6	Amin-Naseri M R, Beheshti-Nia M A. Hybrid Flow Shop Scheduling with Parallel Batching[J]. International Journal of Production Economics(S0925-5273), 2009, 117(1): 185-196.
7	Jia Zhiyang, Dai Yaping, Chen Jingchuan. Closed Bernoulli Lines with Finite Buffers: Real-time Performance Analysis, Completion Time Bottleneck and Carrier Control[J]. International Journal of Control(S0020-7179), 2019, 94(7): 1-14.
8	Matthias Thurer, Mark Stevenson. Bottleneck-oriented Order Release with Shifting Bottlenecks: An Assessment by Simulation[J]. International Journal of Production Economics(S0925-5273), 2018, 197(1): 275-282.
9	Liu Mingzhou, Tang Juan, Ge Maogen. Dynamic Prediction Method of Production Logistics Bottleneck Based on Bottleneck Index[J].Chinese Journal of Mechanical Engineering(S1000-9345), 2009, 22(5): 710-716.
10	徐泽水. 不确定多属性决策方法及应用[M]. 北京: 清华大学出版社, 2004.
	Xu Zeshui. Uncertain Multi-attribute Decision Making Method and Its Application[M]. Beijing: Tsinghua University Press, 2004.
11	Cai Jingcao, Lei Deming. A Cooperated Shuffled Frog-Leaping Algorithm for Distributed Energy-Efficient Hybrid Flow Shop Scheduling with Fuzzy Processing Time[J]. Complex & Intelligent Systems(S2199-4536), 2021, 7(5): 1-19.
12	王彩璐, 陶跃钢, 杨鹏, 等. 云控制系统并行任务分配优化算法与并联控制[J]. 自动化学报, 2017, 43(11): 1973-1983.
	Wang Cailu, Tao Yuegang, Yang Peng, et al. Parallel Task Allocation Optimization Algorithm and Parallel Control for Cloud Control System[J]. Automatica, 2017, 43(11): 1973-1983.
13	朱海峰, 刘畅, 温熙华, 等. 均衡流量和饱和度的交通瓶颈控制[J]. 控制理论与应用, 2019, 36(5): 816-824.
	Zhu Haifeng, Liu Chang, Wen Xihua, et al. Traffic Bottleneck Control for Equalizing Flow and Saturation[J]. Control Theory and Applications, 2019, 36(5): 816-824.
14	Zuo Yan, Gu Hanyu, Xi Yugeng. Modified Bottleneck-Based Heuristic for Large-Scale Job-Shop Scheduling Problems with a Single Bottleneck[J]. Journal of Systems Engineering and Electronics(S1004-4132), 2007, 7(3): 556-565.
15	延渊渊, 范文慧, 冯袁. 汽车连杆生产线的建模与仿真[J]. 系统仿真学报, 2018, 30(9): 3360-3365, 3376.
	Yan Yuanyuan, Fan Wenhui, Feng Yuan. Modeling and Simulation of Automobile Connecting Rod Production Line[J]. Journal of System Simulation, 2018, 30(9): 3360-3365, 3376.
16	李成川, 李聪波, 曹华军, 等. 基于GERT图的废旧零部件不确定性再制造工艺路线模型[J]. 计算机集成制造系统, 2012, 18(2): 298-305.
	Li Chengchuan, Li Congbo, Cao Huajun, et al. An Uncertain Remanufacturing Process Model of Used Parts Based on GERT Diagram[J]. Computer Integrated Manufacturing Systems, 2012, 18(2): 298-305.

加工路径	转移概率	加工时间分布T_i /min	加工路径	转移概率	加工时间分布T_i /min
W₀→W₁	0.60	Exp(10)	W₃→W₅	0.95	N(5, 2)
W₀→P₁	0.10		W₃→P₁	0.05	N(5, 2)
W₀→P₂	0.30		W₄→W₂	0.70	N(6, 2)
W₁→W₂	0.60	Exp(15)	W₄→W₅	0.20
W₁→W₃	0.20		W₄→P₁	0.10
W₁→W₅	0.15		W₅→W₆	0.95	N(8, 2.5)
W₁→P₁	0.05		W₅→P₁	0.05	N(8, 2.5)
W₂→W₄	0.95	Exp(8)	W₆→P₁	0.10	N(10, 3)
W₂→P₁	0.05	Exp(8)	W₆→P₃	0.90	N(10, 3)

因子	水平
因子	1	2	3
R_i	0.85	0.90	0.95
W_i/s	50	55	60
V_j	4	5	6

[1]	朱永宁, 楼泽如, 吴天翔, 王建民. 虚实融合的探究式实验系统研究[J]. 系统仿真学报, 2023, 35(1): 82-94.
[2]	孙一铃, 陈谊, 单桂华, 李晓兴. 基于AR技术的多人互动地球仪系统[J]. 系统仿真学报, 2022, 34(6): 1367-1374.
[3]	吴向平, 平力俊, 徐懂事. 结合社交媒体数据的城市交通事件可视分析方法[J]. 系统仿真学报, 2022, 34(5): 1140-1151.
[4]	许世健, 赵丹, 苏铖宇, 王赋攀, 张晓蓉, 王昉, 吴亚东. 面向流场可视化的沉浸式虚拟现实交互系统研究[J]. 系统仿真学报, 2022, 34(5): 1160-1172.
[5]	吴枫, 刘秀罗, 王佳, 刘阳, 李苏疆, 仲妍. 航天发射可视化仿真分析技术与应用研究[J]. 系统仿真学报, 2022, 34(4): 856-869.
[6]	田东, 单桂华, 迟学斌, 张艳玲, 冯伟华, 王建伟, 王爱国, 王锐. 基于降维技术的烟叶质量可视分析方法[J]. 系统仿真学报, 2021, 33(9): 2279-2288.
[7]	高胜东, 于鑫. 盘坯温度分布参数系统冷速控制并行联合仿真[J]. 系统仿真学报, 2021, 33(8): 1839-1845.
[8]	郑菱莎, 姜兵, 赵喆, 杨朝旭. 航空复杂嵌入式系统时间性能仿真分析技术研究[J]. 系统仿真学报, 2021, 33(6): 1489-1499.
[9]	毕硕本, 陈烨洲, 贡毓成, 路明月, 徐瑞壮. 基于Cesium的热带气旋灾害信息可视化研究[J]. 系统仿真学报, 2021, 33(2): 472-483.
[10]	张惠娟, 刘帆, 王冬青, 贾金原. 管廊复杂网格参数化算法及其大规模在线渲染[J]. 系统仿真学报, 2020, 32(8): 1489-1497.
[11]	陈谊, 张梦录, 万玉钗. 图的表示与可视化方法综述[J]. 系统仿真学报, 2020, 32(7): 1232-1243.
[12]	毕硕本, 贡毓成, 路明月, 周浩, 毛远翔. 气象数据标量场的建模与可视化研究[J]. 系统仿真学报, 2020, 32(7): 1331-1340.
[13]	沈景凤, 李初蕾, 武殿梁, 张佳欣. 航空发动机半物理仿真试车系统的设计研究[J]. 系统仿真学报, 2020, 32(5): 808-816.
[14]	毕硕本, 贡毓成, 路明月, 周浩, 汤智. 基于数字地球平台的热带气旋可视化研究[J]. 系统仿真学报, 2020, 32(3): 472-481.
[15]	周浩, 毕硕本, 贡毓成, 王军, 凌德泉. 基于SPH方法的卫星云图三维云体仿真研究[J]. 系统仿真学报, 2019, 31(7): 1300-1312.