基于可变作业流程的舰载机机务勤务保障作业调度

doi:10.7527/S1000-6893.2024.31195

Abstract

Abstract:

With the increasing demand for aircraft carrier combat capability in modern naval warfare， the efficiency of carrier aircraft maintenance and support operations directly affects the effectiveness of aircraft carrier combat. To optimize the support operation process and further improve operation efficiency， the scheduling optimization problem for maintenance and service support of carrier aircraft based on variable operation process was studied， and the corresponding scheduling optimization algorithm was proposed. Firstly， the characteristics of the flight deck environment and maintenance and support operations were analyzed， and a transfer path library for personnel and equipment in the deck environment was constructed. Secondly， with the optimization goal of minimizing the completion time of support operations， an scheduling model for maintenance and service support of carrier aircraft based on variable operation process is constructed. The model takes into account the constraints of support personnel， support equipment， and operation process， as well as the collaborative pickup and delivery process of weapons. Furthermore， the problem is conceptualized as an integrated scheduling problem of resource constrained multi-project scheduling and resource delivery scheduling based on variable process operation flow. Based on a serial scheduling generation scheme considering resource transfer and personnel transfer， an Improved Particle Swarm Optimization algorithm （IPSO） is proposed to optimize and solve the scheduling model. Finally， the effectiveness of the scheduling model and algorithm， as well as the efficiency and robustness of the algorithm， were verified through simulation of typical support task scenarios and algorithm comparisons. Under the same conditions， compared to the fixed process-based scheduling method， the proposed variable process-based scheduling method for maintenance and support operations can effectively shorten the completion time. In the scenario of flight deck operations with weapon delivery operations， the average completion time can be reduced by at least 25.50%； and in the scenario with weapon pick-up and delivery， the average completion time can be reduced by at least 25.96%.

Key words: carrier-based aircraft, variable process, maintenance and support operations, weapon transportation, integrated scheduling, resource-constrained multi-project scheduling problem, Particle Swarm Optimization (PSO) algorithm

CLC Number:

V271.4⁺92

Fang GUO, Wei HAN, Yujie LIU, Jie LIU, Xichao SU, Liangliang CHENG. Scheduling for maintenance and service support of carrier-based aircraft based on variable operation process[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(13): 531195.

Figures/Tables 20

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Table 1

Parking spots covered by support equipment

停机位编号	覆盖停机位的固定设备站编号
停机位编号	$L 1 q$	$L 2 q$	$L 3 q$	$L 4 q$	$L 5 q$
P1	1	1	1	1	1
P2	1	2	1	1	1，2
P3	1，2	3	1	1	1，2
P4	2	4	1.2	1，2	1，2，3
P5	2	5	2	2	3
P6	3	6	2	2	3
P7	3	7	2	2	4
P8	3，4	8	3	3	4
P9	4	9	3	3	4
P10	4	10	3	3	5
P11	5	11	4	4	5，6
P12	5，6	12	4	4	6
P13	6	13	4	4	6，7
P14	7	14	5	5	7
P15
P16
P17

Table 1

Table 2

Scheduling task cases

停机位编号	保障任务1-1/2		保障任务2-1/2		保障任务3-1/2
停机位编号	作战任务	$t x l i$ / min	作战任务	$t x l i$ / min	作战任务	$t x l i$ / min
P1	1	1	1	2	1	2
P2	1	1	1	2	1	1
P3	1	2	1	3	1	1
P4	1	2	1	2	1	3
P5	2	3	2	2	1	2
P6	2	3	2	1	2	3
P7			2	1	2	2
P8			2	3	2	1
P9			3	1	2	3
P10			3	2	2	2
P11			3	3	3	2
P12			3	1	3	1
P13					3	1
P14					3	2
P15					3	2
P16					1	2
P17					2	3

Table 2

Table 3

Table 4

Fig.8

Fig.9

Fig.10

Fig.11

Table 5

Fig.12

Fig.13

Fig.14

Table 6

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算法	指标	保障任务1		保障任务2		保障任务3
算法	指标	场景1	场景2	场景1	场景2	场景1	场景2
IPSO	W	41.76	56.04	60.22	91.35	72.21	115.74
	A	40.77	55.84	59.72	90.35	71.36	113.93
	B	39.92	55.58	59.42	89.72	70.63	112.78
	S	0.59	0.16	0.27	0.59	0.61	0.99
PSO	W	41.91	56.84	62.43	94.00	74.32	117.08
	A	41.14	56.60	61.58	92.96	73.34	115.32
	B	40.57	56.14	60.01	91.77	71.32	114.18
	S	0.48	0.27	0.82	0.74	1.19	0.97
IAFSA	W	44.69	57.56	65.38	96.18	78.93	116.92
	A	43.79	57.37	64.68	95.53	77.61	116.36
	B	42.85	57.15	63.89	95.16	76.05	115.89
	S	0.59	0.15	0.59	0.38	1.23	0.36
GA	W	45.69	59.28	65.36	96.92	77.82	119.17
	A	44.47	58.54	64.23	95.18	77.24	118.54
	B	43.47	58.09	62.60	94.04	76.67	117.69
	S	0.80	0.40	1.02	1.16	0.41	0.49
DE	W	44.67	58.01	65.11	95.73	77.45	118.76
	A	44.24	57.79	64.52	95.30	76.43	118.31
	B	43.67	57.47	63.39	94.70	75.57	117.63
	S	0.36	0.22	0.62	0.34	0.64	0.46
GWO	W	43.57	57.05	64.26	95.94	76.13	119.07
	A	42.56	56.80	63.52	95.07	75.43	117.08
	B	41.29	56.62	62.12	94.17	75.09	115.78
	S	0.88	0.15	0.74	0.72	0.40	1.10
M2SITRI	W	44.21	59.22	65.55	95.62	77.71	119.43
	A	43.74	57.78	64.47	94.86	77.09	118.04
	B	43.34	57.00	63.90	93.80	75.38	116.90
	S	0.30	0.77	0.59	0.61	0.86	0.81

流程	指标	保障任务1		保障任务2		保障任务3
流程	指标	场景1	场景2	场景1	场景2	场景1	场景2
固定流程	W	58.80	81.66	81.81	124.46	98.10	154.82
	A	58.41	80.04	80.67	122.02	96.52	152.93
	B	58.01	78.22	79.84	120.41	95.20	150.87
	S	0.30	1.13	0.66	1.44	1.05	1.48
r_a/%	W	28.98	31.37	26.39	26.60	26.39	25.24
	A	30.21	30.23	25.96	25.96	26.07	25.50
	B	31.18	28.94	25.57	25.49	25.81	25.25

Scheduling for maintenance and service support of carrier-based aircraft based on variable operation process

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工序序号	K_p	K_q	作战任务1		作战任务2		作战任务3
工序序号	K_p	K_q	场景1	场景2	场景1	场景2	场景1	场景2
0			0	0	0	0	0	0
1	1	2	2	2	2	2	2	2
2	2	2	5	5	5	5	4	4
3	4		9	9	10	10	11	11
4	3	2	3	3	3	3	6	6
5	1	2	2	2	2.5	2.5	3.8	3.8
6	2	2	5	5	6	6	2	2
7	4	2	4	4	5	5	6	6
8	3	2	3	3	3	3	3	3
9	1	3	4	4	4	4	4	4
10	4		8	8	9	9	8	8
11	4	4	3	3	3	3	3	3
12	4	2，5	1.4	1.4	1.5	1.5	1.8	1.8
13	3	6	0	3	0	3	0	3
14	3	6	6	6	6	6	7	7
15	3	6	0	3	0	3	0	3
16	3	6	6	6	6	6	6	6
17	3	6	0	3	0	3	0	3
18	3	6	6	6	6	6	6	6
19	3	6	0	3	0	3	0	3
20	3	6	6	6	6	6	7	7
21	4	1	12	12	15	15	13	13
22	4	2，5	1.4	1.4	1.5	1.5	1.8	1.8
23	2		8	8	8	8	8	8
24			0	0	0	0	0	0

保障任务	类别	保障任务1	保障任务2	保障任务3
移动保障车/辆	燃油车	2	2	3
	氧气车	2	2	3
	氮气车	2	2	3
	液压车	2	2	3
	武器搬运车	8	9	10
机务保障人员/人	航电专业	8	10	11
	特设专业	4	5	6
	机械专业	12	24	26
	军械专业	18	24	27

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