Paper
7 September 2023 Study on optimization of aviation cold chain logistics process in post-epidemic era
Guangmei Xie, Yongliang Xie, Pengcheng Qi, Junyu Zhao
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905W (2023) https://doi.org/10.1117/12.2689483
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
At present, with the normalized control of epidemic prevention, the development of cold chain logistics is facing many new requirements. In view of the primary problems existing in the cold chain logistics process of aviation, such as nonstandard structure and process redundancy, the research background is in post-epidemic era. The time-delay Petri net modeling method was applied to model and analyze the aviation cold chain logistics process, and the correlation matrix and ECRS analysis method were used to optimize the model. Eventually, combined with the actual logistics operation of an airport, the time delay parameters were set for the model. Before and after the model optimization, Tina software was used to simulate the model, and the simulation results were analyzed to provide viable suggestions for the optimization of aviation cold chain logistics process.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangmei Xie, Yongliang Xie, Pengcheng Qi, and Junyu Zhao "Study on optimization of aviation cold chain logistics process in post-epidemic era", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905W (7 September 2023); https://doi.org/10.1117/12.2689483
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KEYWORDS
Transportation

Mathematical optimization

Data modeling

Analytical research

Matrices

Semantics

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