Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (5): 1277-1286.doi: 10.12305/j.issn.1001-506X.2021.05.15
• Systems Engineering • Previous Articles Next Articles
Bin ZENG1,*(), Quanxian ZHANG1(
), Houpu LI2(
)
Received:
2020-06-13
Online:
2021-05-01
Published:
2021-04-27
Contact:
Bin ZENG
E-mail:zbtrueice@163.com;2312497662@qq.com;lihoupu@126.com
CLC Number:
Bin ZENG, Quanxian ZHANG, Houpu LI. Optimal scheduling for cooperative support chain of logistics and equipment under uncertainty[J]. Systems Engineering and Electronics, 2021, 43(5): 1277-1286.
Table 1
Algorithm cost comparison"
βi | 开销 | 分立算法 | 集中算法 | 协同算法 |
0.7 | 前进基地 | 30 185 932 | 30 270 555 | 30 185 932 |
保障基地 | 8 126 104 | 7 245 116 | 7 954 272 | |
缺货开销 | 957 632 | 0 | 0 | |
总开销 | 38 312 036 | 37 515 671 | 38 140 204 | |
0.8 | 前进基地 | 30 189 746 | 30 274 263 | 30 189 746 |
保障基地 | 8 126 192 | 7 246 016 | 7 955 273 | |
缺货开销 | 957 832 | 0 | 0 | |
总开销 | 38 315 938 | 37 520 279 | 38 145 019 | |
0.9 | 前进基地 | 30 193 559 | 30 277 975 | 30 193 559 |
保障基地 | 8 126 331 | 7 246 915 | 7 956 275 | |
缺货开销 | 957 954 | 0 | 0 | |
总开销 | 38 319 890 | 37 524 890 | 38 149 834 |
Table 2
Result comparison of 2 algorithms for multi-objective programming"
想定号 | 解数量 | 解比例 | 计算时间/s | |||||
Met | GA | Met | GA | Met | GA | |||
1#想定 | 8.28 | 4.10 | 0.99 | 0.04 | 48.80 | 111.30 | ||
2#想定 | 8.58 | 5.43 | 0.97 | 0.08 | 186.51 | 337.56 | ||
3#想定 | 8.55 | 5.25 | 0.97 | 0.12 | 580.45 | 1 053.86 | ||
4#想定 | 7.55 | 4.80 | 1.00 | 0.08 | 886.77 | 1 581.03 | ||
5#想定 | 6.35 | 3.05 | 1.00 | 0.04 | 1 401.50 | 3 638.99 | ||
均值 | 7.86 | 4.53 | 0.99 | 0.07 | 620.81 | 1 344.55 | ||
标准差 | 2.07 | 1.57 | 0.03 | 0.10 | 497.06 | 1 276.76 |
1 | 张建国, 张搏, 郝哲威, 等. 美军后勤和装备保障供应链管理发展初探[J]. 飞航导弹, 2018, 23 (11): 79- 84. |
ZHANG J G , ZHANG B , HAO Z W , et al. Development of supply chain management of logistics and equipment support in the us army[J]. Aerodynamic Missile Journal, 2018, 23 (11): 79- 84. | |
2 |
VALAX L , GRANT D B , STOCK J R . Improvements in pre-revolution French military logistics: lessons for modern day supply chains[J]. Supply Chain Forum: an International Journal, 2019, 20 (1): 3- 14.
doi: 10.1080/16258312.2019.1570681 |
3 |
黎武, 周庆忠, 孙皓, 等. 基于时空网络的物资保障网络效能优化[J]. 装甲兵工程学院学报, 2018, 32 (2): 23- 30.
doi: 10.3969/j.issn.1672-1497.2018.02.005 |
LI W , ZHOU Q Z , SUN H , et al. Efficiency optimization of material support network based on time-space network[J]. Journal of Academy of Armored Force Engineering, 2018, 32 (2): 23- 30.
doi: 10.3969/j.issn.1672-1497.2018.02.005 |
|
4 | XIONG B , FAN R , WANG S , et al. Performance evaluation and disruption recovery for military supply chain network[J]. Complexity, 2020, 20 (8): 9760604. |
5 | DEN B J , LAMBRECHTS W , KRIKKE H . Additive manufacturing in military and humanitarian missions: advantages and challenges in the spare parts supply chain[J]. Journal of Cleaner Production, 2020, 257 (6): 120301. |
6 |
VAN S J , GELDERMAN C J , SEMEIJN J . Performance-based contracting in military supply chains and the willingness to bear risks[J]. Journal of Defense Analytics and Logistics, 2019, 3 (1): 83- 107.
doi: 10.1108/JDAL-10-2017-0021 |
7 | ACERO R , TORRALBA M , PÉREZ-MOYA R , et al. Value stream analysis in military logistics: the improvement in order processing procedure[J]. Applied Sciences, 2020, 10 (1): 106- 117. |
8 | LAI C M . Integrating simplified swarm optimization with AHP for solving capacitated military logistic depot location problem[J]. Applied Soft Computing, 2019, 78 (10): 1- 12. |
9 | MINIC S M, GENDREAU M, POTVIN J Y, et al. Military three-echelon disaster relief supply chain management[C]//Proc. of the 4th International Conference on Information and Communication Technologies for Disaster Management, 2017. |
10 |
KOO H , MOON I . Wartime logistics model for multi-support unit location-allocation problem with frontline changes[J]. International Transactions in Operational Research, 2020, 27 (6): 3031- 3055.
doi: 10.1111/itor.12616 |
11 | SUKANDARI B , SUHARYO O S , PRABOWO A R . Scheduling model of replenishment at sea for striking force unit in sea operation using genetic algorithm[J]. International Journal of ASRO, 2019, 10 (2): 1- 10. |
12 |
于双双, 王铁宁, 李宁, 等. 不确定条件下装备器材供应网规划模型[J]. 火力与指挥控制, 2017, 42 (4): 79- 86.
doi: 10.3969/j.issn.1002-0640.2017.04.018 |
YU S S , WANG T N , LI N , et al. Design model of equipment materiel supply network under uncertain condition[J]. Fire Control & Command Control, 2017, 42 (4): 79- 86.
doi: 10.3969/j.issn.1002-0640.2017.04.018 |
|
13 |
王亚东, 石全, 陈材, 等. 考虑中断风险的备件供应选址-分配优化模型[J]. 兵工学报, 2019, 40 (8): 1708- 1715.
doi: 10.3969/j.issn.1000-1093.2019.08.021 |
WANG Y D , SHI Q , CHEN C , et al. Location-allocation joint optimization model of spare parts supply under supply disruption risk[J]. Acta Armamentarii, 2019, 40 (8): 1708- 1715.
doi: 10.3969/j.issn.1000-1093.2019.08.021 |
|
14 | ALMARAJ I I , TRAFALIS T B . An integrated multi-echelon robust closed-loop supply chain under imperfect quality production[J]. International Journal of Production Economics, 2019, 218 (12): 212- 227. |
15 |
SANGAIAH A K , TIRKOLAEE E B , GOLI A , et al. Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem[J]. Soft Computing, 2020, 24 (11): 7885- 7905.
doi: 10.1007/s00500-019-04010-6 |
16 | 夏国清, 栾添添, 孙明晓, 等. 考虑调运时间的舰载机备件供应系统模糊优化[J]. 航空学报, 2017, 38 (12): 227- 237. |
XIA G Q , LUAN T T , SUN M X , et al. Fuzzy optimization for part supply system of carrier aircraft considering transporting time[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38 (12): 227- 237. | |
17 |
BADHOTIYA G K , SONI G , MITTAL M L . Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain[J]. The International Journal of Advanced Manufacturing Technology, 2019, 102 (4): 635- 645.
doi: 10.1007/s00170-018-3204-2 |
18 |
HONG J D , JEONG K Y . Goal programming and data envelopment analysis approach to disaster relief supply chain design[J]. International Journal of Logistics Systems and Management, 2019, 33 (3): 291- 321.
doi: 10.1504/IJLSM.2019.101158 |
19 |
KLIBI W , ICHOUA S , MARTEL A . Prepositioning emergency supplies to support disaster relief: a case study using stochastic programming[J]. INFOR: Information Systems and Operational Research, 2018, 56 (1): 50- 81.
doi: 10.1080/03155986.2017.1335045 |
20 | 梁峰, 李政硕, 宗福兴, 等. 关于我军海上预置能力建设的思考[J]. 军事交通学院学报, 2018, 20 (6): 46- 49. |
LIANG F , LI Z S , ZONG F X , et al. Construction of maritime preposition capability of our army[J]. Journal of Military Transportation University, 2018, 20 (6): 46- 49. | |
21 | BEERY P, ENLOE M, KUMMER G, et al. Command and control for distributed lethality[C]//Proc. of the IEEE International Systems Conference, 2019. |
22 | KHISHTANDAR S . Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design[J]. Applied Energy, 2019, 236 (2): 183- 195. |
23 | KALITA K , RAGAVENDRAN U , RAMACHANDRAN M , et al. Weighted sum multi-objective optimization of skew composite laminates[J]. Structural Engineering and Mechanics, 2019, 69 (1): 21- 31. |
24 | NIMMEGEERS P , VALLERIO M , TELEN D , et al. Interactive multi-objective dynamic optimization of bioreactors under parametric uncertainty[J]. Chemie Ingenieur Technik, 2019, 91 (3): 349- 362. |
25 | GHOLIZADEH-ROSHANAGH R , ZARE K , MARZBAND M . An A-posteriori multi-objective optimization method for MILP-based distribution expansion planning[J]. IEEE Access, 2020, 8 (3): 60279- 60292. |
26 |
FELFEL H , AYADI O , MASMOUDI F A . Decision-making approach for a multi-objective multisite supply network planning problem[J]. International Journal of Computer Integrated Manufacturing, 2016, 29 (7): 754- 767.
doi: 10.1080/0951192X.2015.1107916 |
27 | MAVROTAS G . Effective implementation of the ε-constraint method in multi-objective mathematical programming problems[J]. Applied Mathematics and Computation, 2009, 213 (6): 455- 465. |
28 | YADEGARI E , ALEM-TABRIZ A , ZANDIEH M . A memetic algorithm with a novel neighborhood search and modified solution representation for closed-loop supply chain network design[J]. Computers & Industrial Engineering, 2019, 128 (2): 418- 436. |
29 | ATABAKI M S , MOHAMMADI M , NADERI B . Hybrid genetic algorithm and invasive weed optimization via priority based encoding for location-allocation decisions in a three-stage supply chain[J]. Asia-Pacific Journal of Operational Research, 2017, 34 (2): 175- 183. |
30 | LIU R , TAO Y , XIE X . An adaptive large neighborhood search hheuristic for the vehicle routing problem with time windows and synchronized visits[J]. Computers & Operations Research, 2019, 101 (1): 250- 262. |
31 | ALTIPARMAK F , GEN M , LIN L , et al. A genetic algorithm approach for multiobjective optimization of supply chain networks[J]. Computers & Industrial Engineering, 2006, 51 (3): 196- 215. |
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