Weapons system portfolio selection based on the contribution rate evaluation of system of systems

doi:10.21629/JSEE.2019.05.09

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (5): 905-919.doi: 10.21629/JSEE.2019.05.09

• Systems Engineering • Previous Articles Next Articles

Weapons system portfolio selection based on the contribution rate evaluation of system of systems

Yajie DOU^1,*(), Zhexuan ZHOU¹(), Danling ZHAO¹(), Yong WEI²()

¹ College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
² Unit 31008 of the PLA, Beijing 100091, China

Received:2018-09-19 Online:2019-10-08 Published:2019-10-09
Contact: Yajie DOU E-mail:yajiedou_nudt@163.com;372985928@qq.com;zhaodanling11@163.com;youwei@163.com
About author:DOU Yajie was born in 1987. He received his Ph.D. degree in management science and engineering from the National University of Defense Technology (NUDT), Changsha, China. In 2014-2015, he was a visiting researcher in the KU Leuven in Belgium. He teaches decision-making analysis and system-of-systems engineering in the College of Systems Engineering at NUDT. His main research interests are system portfolio selection, decision making, and effectiveness evaluation. E-mail: yajiedou_nudt@163.com|ZHOU Zhexuan was born in 1994. He is a graduate student of National University of Defense Technology University. His research interests are systems engineering, portfolio selection analysis, group decision-making, and fuzzy decision-making. E-mail: 372985928@qq.com|ZHAO Danling was born in 1991. She is a Ph.D. student in National University of Defense Technology. She has published many papers in international magazines, such as Physica A. Her research interests are decision-making analysis, intelligent optimization algorithm, and complex network. E-mail: zhaodanling11@163.com|WEI Yong was born in 1987. He received his Ph.D. degree in cartography and geographical information system from Information Engineering University, Zhengzhou, China. He is a data processing and analysis engineer in Unit 31008 of the PLA. His main research interests are data analysis, data mining, and decision making. E-mail: youwei@163.com
Supported by:
the National Key R&D Program of China(2017YFC1405005);the National Natural Science Foundation of China(71690233);This work was supported by the National Key R&D Program of China (2017YFC1405005) and the National Natural Science Foundation of China (71690233)

Abstract

Abstract:

The weapons system portfolio selection problem arises at the equipment demonstration stage and deals with the military application requirements. Further, the contribution rate of the system is one of the important indicators to evaluate the role of a system, which can facilitate the weapons system portfolio selection. Therefore, combining the system contribution rate with system portfolio selection is the focus of this study. It also focuses on calculating the contribution rates of multiple equipment systems with various types of capabilities. The contribution rate is measured by establishing a hierarchical multi-criteria value model from three dimensions. Based on the value model, the feasible portfolios are developed under certain cost constraints and the optimal weapons system portfolios are obtained by using the classification optimization selection strategy. Finally, an illustrative example is presented to verify the feasibility of the proposed model.

Key words: weapon system, system of systems (SoS), portfolio selection, contribution rate evaluation, decision analysis

Yajie DOU, Zhexuan ZHOU, Danling ZHAO, Yong WEI. Weapons system portfolio selection based on the contribution rate evaluation of system of systems[J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 905-919.

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References 38

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Equipment	Capability type	Capability level (1-9)
E1	Reconnaissance ability	7
E2	Reconnaissance ability	6
E2	Decision-making capacity	5
E3	Decision-making capacity	7
E4	Decision-making capacity	6
E4	Command ability	6
E5	Command ability	8
E6	Strike ability	7

Capability type	Operational demand level
Reconnaissance ability	9
Decision-making capacity	7
Command ability	7
Strike ability	8

Equipment	Cost	Capability type	Capability level (1-9)
S1	1 200	Reconnaissance ability	8
S2	1 700	Decision-making capacity	8
S3	3 600	Reconnaissance ability	8
S3	3 600	Decision-making capacity	8
S4	4 000	Reconnaissance ability	6
		Decision-making capacity	8
		Command ability	7
S5	2 500	Decision-making capacity	7
S5	2 500	Command ability	7
S6	1 800	Command ability	9
S7	3 000	Strike ability	8
S8	3 500	Strike ability	9

Preparing to develop equipment	Capacity contribution rate/%	Specific improvement ability
S1	2.92	Reconnaissance ability
S2	3.77	Decision-making capacity
S3	6.69	Reconnaissance and decision making
S4	3.77	Decision-making capacity
S5	0	None
S6	3.77	Command ability
S7	3.29	Strike ability
S8	6.59	Strike ability

Candidate	Connectivity contribution rate/%
S1	23.98
S2	36.80
S3	36.72
S4	52.22
S5	55.49
S6	31.39
S7	7.43
S8	11.71

Weapons system portfolio selection based on the contribution rate evaluation of system of systems

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Candidate to be developed	Redundancy contribution rate/%
S1	33.33
S2	25
S3	58.33
S4	91.66
S5	58.33
S6	33.33
S7	50
S8	50

Planned development equipment	Capacity contribution rate/%	Connected contribution rate/%	Redundancy contribution rate/%	Cost
S1	2.92	23.98	33.33	1 200
S2	3.77	36.80	25	1 700
S3	6.69	36.72	58.33	3 600
S4	3.77	52.22	91.66	4 000
S5	0	55.49	58.33	2 500
S6	3.77	31.39	33.33	1 800
S7	3.29	7.43	50	3 000
S8	6.59	11.71	50	3 500

Portfolio	System
P1	S7, S8
P2	S6, S8
P3	S4, S7
P4	S4, S6
P5	S4, S5
P6	S3, S8
P7	S5
P8	S5, S8
P9	S5, S7
P10	S2, S4
P11	S2, S8
P12	S2, S7
P13	S2, S6
P14	S2, S5
P15	S1, S8
P16	S1, S7, S8
P17	S1, S6, S8
P18	S1, S5, S8
P19	S1, S2, S7
P20	S1, S2, S6
P21	S1, S4, S6
P22	S1, S3, S4
P23	S2, S3
P24	S2, S3, S6
P25	S4, S8
P26	S3, S4
P27	S1, S2, S4
P28	S1, S2, S3
P29	S1, S5, S7
P30	S1, S4, S7

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