Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy

ZHU Xingdong; ZHAO Yang; FAN Jiali; HUANG Kui

doi:10.19693/j.issn.1673-3185.03011

Volume 18 Issue 5

Oct. 2023

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Chinese Journal of Ship Research > 2023 > 18(5): 92-103. > DOI: 10.19693/j.issn.1673-3185.03011 CSTR: 32390.14.j.issn.1673-3185.03011

ZHU X D, ZHAO Y, FAN J L, et al. Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy[J]. Chinese Journal of Ship Research, 2023, 18(5): 92–103. DOI: 10.19693/j.issn.1673-3185.03011

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Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy

1.
Naval Aviation University, Yantai 264001, China
2.
Qingdao Campus of Naval Aviation University, Qingdao 266041, China

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Received Date: July 19, 2022
Revised Date: October 27, 2022
Official website online publication date: December 29, 2022

This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

Abstract

Objectives To improve the efficiency of naval aircraft support, the optimization design of aviation support resource performance indexes under pit-stop support mode is carried out.
Method A naval aircraft deck operation scheduling model is established with the objective of minimizing the support time, the carrier surface aviation support resource performance index is regarded as the independent variable satisfying the interval constraint, and a two-layer optimization model is constructed.
Results The optimal resource allocation scheme and support operation scheduling scheme under different sortie modes are obtained through the simulation of various typical mission scenarios, and the effectiveness of the solution algorithm is verified.
Conclusion The proposed method can effectively solve the joint optimization problem of pit-stop support resource performance index and support operation scheduling, providing theoretical support for the optimization of pit-stop support resource configuration.

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Joint optimization method of Pit-Stop support resource performance metrics based on layered optimization strategy

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