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Open AccessArticle
Optimization Model and Solution Algorithm for Space Station Cargo Supply Planning under Complex Constraints
by
Zhijuan Kang
Zhijuan Kang 1,2,
Ming Gao
Ming Gao 1,2,3,4,
Wei Dang
Wei Dang 2,3,* and
Jiajie Wang
Jiajie Wang 2
1
School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
2
Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
3
Reliability Assurance Center, Chinese Academy of Sciences, Beijing 100094, China
4
Operation and Management Support Center of China Manned Space Program, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(15), 6488; https://doi.org/10.3390/su16156488 (registering DOI)
Submission received: 31 May 2024
/
Revised: 23 July 2024
/
Accepted: 26 July 2024
/
Published: 29 July 2024
Abstract
To enhance the efficient utilization of space resources, it is critical to integrate information from various systems of the space station and formulate scientific and effective methods for planning cargo supplies. Considering the large-scale, multi-objective, complex nonlinear, non-convex, non-differentiable, and mixed-integer characteristics, this study decomposes the space station cargo supply planning problem into a bi-level optimization problem involving cargo manifest and loading layout iterations. A new CILPSO algorithm is proposed to solve this by integrating particle coding, reliability priority, and random generation mechanisms of population initialization, global and local versions of particle updating, and a local search strategy. The experimental results show that the CILPSO algorithm outperforms other algorithms regarding search performance and convergence efficiency. The proposed approach can effectively reduce the cargo supply cost of the space station and improve the output of space science and application achievements. It provides a decision-making basis for the responsible department to develop cargo supply schemes, for the cargo supply systems to submit cargo demands, and for the cargo spaceship system to design loading schemes. This study advances the logistics sustainability of the space station.
Share and Cite
MDPI and ACS Style
Kang, Z.; Gao, M.; Dang, W.; Wang, J.
Optimization Model and Solution Algorithm for Space Station Cargo Supply Planning under Complex Constraints. Sustainability 2024, 16, 6488.
https://doi.org/10.3390/su16156488
AMA Style
Kang Z, Gao M, Dang W, Wang J.
Optimization Model and Solution Algorithm for Space Station Cargo Supply Planning under Complex Constraints. Sustainability. 2024; 16(15):6488.
https://doi.org/10.3390/su16156488
Chicago/Turabian Style
Kang, Zhijuan, Ming Gao, Wei Dang, and Jiajie Wang.
2024. "Optimization Model and Solution Algorithm for Space Station Cargo Supply Planning under Complex Constraints" Sustainability 16, no. 15: 6488.
https://doi.org/10.3390/su16156488
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