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High-end weapon equipment portfolio selection based on a heterogeneous network model

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Abstract

The selection and development of high-end weapon equipment is a strategic issue for nations. High-end weapon equipment portfolio selection (HWEPS) has attracted much attention because it is closely related to the production, deployment, and operation of weapons, which is a crucial factor determining the outcome of a war. This paper presents a united framework called capability-oriented weapon system portfolio selection (CWSPS) to solve the HWEPS problem based on a heterogeneous combat network. Specifically, the concept of an operation loop is introduced and a heterogeneous combat network model is proposed, with consideration of the different types of functional entities and information flows of high-end weapon equipment systems. Based on this, a new measure called the operational capability evaluation index (OCEI) is first proposed to assess the operational execution capability of a portfolio of high-end equipment systems. Then, a portfolio selection model is established by maximizing the cost-OCEI efficiency of high-end weapon equipment, with capability demand and the budget restriction as constraints. Finally, both an empirical case of missile defense system and numerical experiments are taken to demonstrate the reliability and effectiveness of CWSPS, and results show that our method can achieve very good performance in solving the HWEPS problem.

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Acknowledgements

The work was supported in part by the National Natural Science Foundation of China under Grant Nos. 71690233, 71501182, 71671186, and 71331008; and the Research Project of National University of Defense Technology under Grant Nos. JS 16-03-08. The authors greatly appreciate the thoughtful comments and constructive suggestions put forward by the anonymous referees that helped to improve the quality of the paper.

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Authors and Affiliations

  1. College of Systems Engineering, National University of Defense Technology, Changsha, 410073, People’s Republic of China

    Jichao Li, Bingfeng Ge, Jiang Jiang, Kewei Yang & Yingwu Chen

  2. Northwestern Institute on Complex Systems and Data Science (NICO), Northwestern University, Evanston, IL, 60208, USA

    Jichao Li

  3. Kellogg School of Management, Northwestern University, Evanston, IL, 60208, USA

    Jichao Li

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  1. Jichao Li
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  2. Bingfeng Ge
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  3. Jiang Jiang
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  4. Kewei Yang
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  5. Yingwu Chen
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Correspondence to Bingfeng Ge.

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Li, J., Ge, B., Jiang, J. et al. High-end weapon equipment portfolio selection based on a heterogeneous network model. J Glob Optim 78, 743–761 (2020). https://doi.org/10.1007/s10898-018-0687-1

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