流程驱动的导弹装备保障资源配置仿真与优化

doi:10.12305/j.issn.1001-506X.2024.09.16

Abstract

Abstract:

With the deepening demand for the real combat-oriented and systematic development of missile equipment, the support activities of missiles equipment have become increasingly complex, which brings challenges to the allocation of support resource. Therefore, a process-driven simulation and optimization method for support resource allocation of missile equipment is proposed. Firstly, a process-driven support activities simulation model and algorithm for missile equipment are constructed based on the characteristic of high timeliness requirements and multiple resource constraints for missile equipment support activities. Secondly, an optimization model for missile equipment support resources is presented with the goal of support efficiency and the constraint of the economic scale. Finally, a simulation example is constructed to verify the effectiveness and adaptability of the proposed approach. The results show that the proposed process-driven support resource allocation simulation and optimization method can effectively plan the support activities schemes of missile equipment, evaluate the capability and optimize the support resource allocation for equipment, which can provide reliable support for the rational use and optimal resource scheduling of missile equipment.

Key words: support resource optimization, simulation and optimization, missile equipment, support activity simulation

CLC Number:

Weiwei CUI, Dexin WANG, Lianfeng LI, Liang WANG, Guanjun LIU, Zhiwei CHEN. Process-driven support resource allocation simulation and optimization for missile equipment[J]. Systems Engineering and Electronics, 2024, 46(9): 3040-3049.

Figures/Tables 17

Fig.1

Fig.2

Table 1

Table 2

Fig.3

Fig.4

Fig.5

Fig.6

Table 3

Fig.7

Fig.8

Table 4

Table 5

Table 6

Fig.9

Fig.10

Table 7

References 30

1	CRUYT A L M , GHOBBAR A A , CURRAN R . A value-based assessment method of the supportability for a new aircraft entering into service[J]. IEEE Trans.on Reliability, 2014, 63 (4): 817- 829. doi: 10.1109/TR.2014.2335972
2	WANG R X , GAO J M , LI S Q , et al. Condition-based dynamic supportability mechanism for the performance quality of large-scale electromechanical systems[J]. IEEE Access, 2020, 8, 117036- 117050. doi: 10.1109/ACCESS.2020.3004736
3	FERNANDEZ-VILLACANAS M M A. Strategies and organizational changes for the logistics sustainability of military aircraft: towards the digital transformation of in-service support[C]// Proc. of the Developments and Advances in Defense and Security, 2020: 419-429.
4	LAI C M , TSENG M L . Designing a reliable hierarchical military logistic network using an improved simplified swarm optimization[J]. Computers & Industrial Engineering, 2022, 169, 108153.
5	DEMERTZIS K, KIKIRAS P, ILIADIS L. A blockchained secure and integrity-preserved architecture for military logistics ope- rations[C]//Proc. of the Engineering Applications of Neural Networks: the 23rd International Conference, 2022.
6	杨英杰, 于永利, 张柳, 等. 装备维修保障仿真系统灵敏度分析与参数优化[J]. 系统工程与电子技术, 2016, 38 (3): 575- 581.
	YANG Y J , YU Y L , ZHANG L , et al. Sensitivity analysis and parameters optimization for equipment maintenance support simu- lation system[J]. System Engineering and Electronics, 2016, 38 (3): 575- 581.
7	OWENS A, DE-WECK O, STROMGREN C, et al. Supportability challenges, metrics, and key decisions for future human spaceflight[C]//Proc. of the AIAA SPACE and Astronautics Forum and Exposition, 2017.
8	王宏, 兑兴亮, 赵英俊. 地空导弹战时装备保障仿真系统设计与实现[J]. 计算机仿真, 2020, 37 (2): 78- 81. doi: 10.3969/j.issn.1006-9348.2020.02.016
	WANG H , DUI X L , ZHAO Y J . Design and implementation of equipment support simulation system on ground to air missile in wartime[J]. Computer Simulation, 2020, 37 (2): 78- 81. doi: 10.3969/j.issn.1006-9348.2020.02.016
9	魏天宇, 张孝虎, 雷宇, 等. 基于Petri网的战时空空导弹保障建模[J]. 指挥控制与仿真, 2019, 41 (2): 37- 41. doi: 10.3969/j.issn.1673-3819.2019.02.007
	WEI T Y , ZHANG X H , LEI Y , et al. Wartime air-to-air missile support model based on petri net[J]. Command Control and Simulation, 2019, 41 (2): 37- 41. doi: 10.3969/j.issn.1673-3819.2019.02.007
10	魏圣军, 吴法文, 张琳, 等. 基于系统动力学的装备维修级别决策研究[J]. 兵器装备工程学报, 2020, 41 (3): 51- 56. doi: 10.11809/bqzbgcxb2020.03.010
	WEI S J , WU F W , ZHANG L , et al. Equipment maintenance level decision-making based on system dynamics[J]. Journal of Ordnance Equipment Engineering, 2020, 41 (3): 51- 56. doi: 10.11809/bqzbgcxb2020.03.010
11	米巧丽, 卢明章, 李亚杰, 等. 基于着色算子的导弹综合保障仿真系统设计[J]. 战术导弹技术, 2022, (1): 21- 28.
	MI Q L , LU M Z , LI Y J , et al. Design of a simulation system for missile integration support based on colored operators[J]. Tactical Missile Technology, 2022, (1): 21- 28.
12	KENEALLY S K , ROBBINS M J , LUNDAY B J . A Markov decision process model for the optimal dispatch of military medical evacuation assets[J]. Health Care Management Science, 2016, 9, 111- 129.
13	ABDULLAH A , ASHUTOSH T . A novel approach for model- ling complex maintenance systems using discrete event simu-lation[J]. Reliability Engineering & System Safety, 2016, 154, 160- 170.
14	郭璐, 刘晓东. 多扰动下面向设计的导弹装备保障系统仿真[J]. 西北工业大学学报, 2022, 40 (5): 1116- 1124. doi: 10.3969/j.issn.1000-2758.2022.05.020
	GUO L , LIU X D . Simulation on design-oriented missile equipment support system under multiple disturbances[J]. Journal of Northern Polytechnical University, 2022, 40 (5): 1116- 1124. doi: 10.3969/j.issn.1000-2758.2022.05.020
15	ADRIAN S H , JAVIER F , PATRICK H , et al. Agent-based simulation for horizontal cooperation in logistics and transportation: from the individual to the grand coalition[J]. Simulation Modelling Practice and Theory, 2018, 85, 47- 59. doi: 10.1016/j.simpat.2018.04.002
16	GUO L , LIU X D . Mission-oriented missile equipment support system modeling: considering the failure and health state[J]. Mathematical Problems in Engineering, 2022, 40 (5): 1116- 1124.
17	雷建长, 王小辉, 郑小鹏. 地地导弹武器装备发展脉络与趋势[J]. 战术导弹技术, 2020, (4): 21- 28.
	LEI J C , WANG X H , ZHENG X P . The development context and future trend of surface-to-surface missiles[J]. Tactical Missile Technology, 2020, (4): 21- 28.
18	刘永才. 新形势下武器装备发展思考[J]. 战术导弹技术, 2020, 1- 12.
	LIU Y C . Thoughts on the development of weapons and equipment under the new situation[J]. Tactical Missile Technology, 2020, 1- 12.
19	SOUZA R L C , GHASEMI A , SAIF A , et al. Robust job-shop scheduling under deterministic and stochastic unavailability constraints due to preventive and corrective maintenance[J]. Computers & Industrial Engineering, 2022, 168, 108130.
20	WANG G G , GAO D , PEDRYCZ W . Solving multiobjective fuzzy job-shop scheduling problem by a hybrid adaptive diffe-rential evolution algorithm[J]. IEEE Trans.on Industrial Infor- matics, 2022, 18 (12): 8519- 8528. doi: 10.1109/TII.2022.3165636
21	尹丽丽, 寇力, 范文慧. 基于多Agent的装备保障体系分布式建模与仿真方法[J]. 系统仿真学报, 2017, 29 (12): 3185- 3194.
	YIN L L , KOU L , FAN W H . Distributed modeling and simulation method of equipment support system based on multi-agent[J]. Journal of System Simulation, 2017, 29 (12): 3185- 3194.
22	寇力, 范文慧, 宋爽, 等. 基于多智能体的装备保障体系建模与仿真[J]. 中国科学: 信息科学, 2018, 48 (7): 794- 809.
	KOU L , FAN W H , SONG S , et al. Modeling and simulation method of equipment support system based on multiple agents[J]. SCIENTIA SINICA Informationis, 2018, 48 (7): 794- 809.
23	邢彪, 曹军海, 宋太亮, 等. 基于Agent的维修保障仿真系统设计与实现[J]. 系统仿真学报, 2017, 29 (1): 129- 135.
	XING B , CAO J H , SONG T L , et al. Design and implementation for maintenance support simulation system based on agent[J]. Journal of System Simulation, 2017, 29 (1): 129- 135.
24	ZHU H H , ZHANG Y , LIU C C , et al. An adaptive reinforcement learning-based scheduling approach with combination rules for mixed-line job shop production[J]. Mathematical Problems in Engineering, 2022, 2022, 1672166.
25	ZHANG F Q , BAI J Y , YANG D Y , et al. Digital twin data-driven proactive job-shop scheduling strategy towards asymmetric manufacturing execution decision[J]. Scientific Reports, 2022, 12 (1): 1546.
26	ZHANG Y , ZHU H H , TANG D B , et al. Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems[J]. Robotics and Computer-Integrated Manufacturing, 2022, 78, 102412.
27	李小涛, 彭翀. 基于混合多智能体遗传算法的作业车间调度问题研究[J]. 北京航空航天大学学报, 2017, 43 (2): 410- 416.
	LI X T , PENG C . Hybrid multiagent genetic algorithm for job shop scheduling problem[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43 (2): 410- 416.
28	ZHOU Z , LI F M , ZHU H X , et al. An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments[J]. Neural Computing and Applications, 2020, 32, 1531- 1541.
29	ZOUHRI W , HOMRI L , DANTAN J Y . Handling the impact of feature uncertainties on SVM: a robust approach based on Sobol sensitivity analysis[J]. Expert Systems with Applications, 2022, 189, 115691.
30	BALLESTER-RIPOLL R , LEONELLI M . Computing Sobol indices in probabilistic graphical models[J]. Reliability Engineering & System Safety, 2022, 225, 108573.

序号	属性	类型
1	编号	正整数
2	当前工序	正整数
3	工序处理时间	正整数
4	状态	字符
5	所使用资源	字符

序号	属性	类型
1	编号	正整数
2	状态	字符
3	所服务装备	正整数

资源编号	利用率	资源编号	利用率
R1-1	10.0	R4-1	28.0
R1-2	10.0	R4-2	28.0
R1-3	10.0	R4-3	16.0
R1-4	10.0	R4-4	4.0
R2-1	8.0	R4-5	4.0
R2-2	8.0	R5-1	48.0
R2-3	8.0	R5-2	48.0
R2-4	8.0	R5-3	24.0
R3-1	96.0	R6-1	38.4
R3-2	96.0	R6-2	25.6
R3-3	96.4	R7-1	44.8
R3-4	96.4	R7-2	44.4
R3-5	96.4	R7-2	23.6

资源编号	利用率	资源编号	利用率
R1-1	14.0	R4-1	40.0
R1-2	14.0	R4-2	40.0
R1-3	12.0	R5-1	42.0
R2-1	11.2	R5-2	42.0
R2-2	11.2	R5-3	18.0
R2-3	9.6	R5-4	18.0
R3-1	96.0	R6-1	32.0
R3-2	96.0	R6-2	32.0
R3-3	76.0	R7-1	42.0
R3-4	74.0	R7-2	42.0
R3-5	78.0	R7-3	18.0
R3-6	78.0	R7-4	18.0

资源类型	TSC	排序
R1	0.002 7	7
R2	0.003 2	6
R3	0.911 4	1
R4	0.003 9	4
R5	0.081 2	2
R6	0.003 8	5
R7	0.072 2	3

Process-driven support resource allocation simulation and optimization for missile equipment

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 17

References 30

Related Articles 3

Recommended Articles

Metrics

Comments

工序	资源
工序	1	2	3	4	5	6	7
1	1	0	0	0	0	0	0
2	0	1	0	0	0	0	0
3	0	0	1	0	0	0	0
4	0	0	1	1	0	0	0
5	0	0	1	0	1	0	0
6	0	0	1	0	0	1	0
7	0	0	1	0	0	0	1
8	0	0	1	0	0	0	0

[1]	Lu GUO, Xiaodong LIU, Dongtao WEI, Pu ZHU. Extraction method of missile equipment health characterization parameters based on improved PCA [J]. Systems Engineering and Electronics, 2022, 44(10): 3275-3281.
[2]	Jiakun LI, Yanbin LI, Yafei SONG. Security risk assessment of plateau training for surface-to-air missile equipment [J]. Systems Engineering and Electronics, 2020, 42(3): 653-659.
[3]	LI Ji-zi, MA Shi-hua, LI Bai-xun, LIU Chun-ling. Simulation and optimization of across-chain inventory emergency transshipment in cluster supply chains [J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1117-1123.

资源类型	数量
1	3
2	3
3	6
4	2
5	4
6	2
7	4