Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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Evaluation of Airport Operation Production Performance Based on Entropy Weight-VIKOR Method

Authors
Xiang Lai1, *
1International Economics and Trade, School of Maritime Economics and Management of Dalian Maritime University, Liaoning, Dalian, China
*Corresponding author. Email: 1025730977@qq.com
Corresponding Author
Xiang Lai
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_41How to use a DOI?
Keywords
entropy weight method; performance evaluation; multi-criteria decision-making; takeoff and landing frequency; passenger satisfaction; quality management
Abstract

The operational production status of an airport is an important factor influencing airport operational efficiency. The effective evaluation of the operational production performance of an airport has significant guiding significance for improving airport quality management and enhancing market competitiveness. Taking the monthly operational situation of Hangzhou Xiaoshan International Airport, China in China as an example, this paper establishes an airport operational production index system and uses the entropy weight-VIKOR method to evaluate the operational production performance of the airport. The results show that when different decision coefficients are taken, the optimal month for the operational production capacity of the airport is always October. Through sensitivity analysis of the worst performing month, which is February, it is found that the main indicators influencing that month are aircraft takeoff and landing movements and passenger satisfaction. Airport managers should pay high attention to these two indicators, compare them with internal benchmark months to seek improvement measures, and guide continuous improvement of airport operational production performance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
10.2991/978-94-6463-326-9_41
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_41How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiang Lai
PY  - 2023
DA  - 2023/12/30
TI  - Evaluation of Airport Operation Production Performance Based on Entropy Weight-VIKOR Method
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 395
EP  - 402
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_41
DO  - 10.2991/978-94-6463-326-9_41
ID  - Lai2023
ER  -