Research on the influence factors of emergency logistics guarantee effectiveness based on hierarchical analysis method and fuzzy comprehensive judgment method

Jiawei He; Qixiang Li; Zichao Song; Lu Li

doi:10.1117/12.2678932

14 June 2023 Research on the influence factors of emergency logistics guarantee effectiveness based on hierarchical analysis method and fuzzy comprehensive judgment method

Jiawei He, Qixiang Li, Zichao Song, Lu Li

Author Affiliations +

Proceedings Volume 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023); 127250Y (2023) https://doi.org/10.1117/12.2678932
Event: International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 2023, Suzhou, China

Abstract

In recent years, epidemics, earthquakes, forest fires, floods, and other public health emergencies and natural disasters have occurred frequently, and the role of emergency logistics has become more and more prominent. In this paper, on the basis of sorting out the current situation of emergency logistics guarantee in China, we use hierarchical analysis and fuzzy evaluation methods to calculate the weight of each index factor and guarantee the effectiveness of emergency logistics, respectively. The study gives examples to analyze and calculate the guarantee effectiveness of emergency logistics so as to draw the influence of emergency logistics. The key factors of emergency logistics can provide decision guidance for strengthening the construction of the emergency logistics system and improving the level of emergency logistics guarantee.

Citation Download Citation

Jiawei He, Qixiang Li, Zichao Song, and Lu Li "Research on the influence factors of emergency logistics guarantee effectiveness based on hierarchical analysis method and fuzzy comprehensive judgment method", Proc. SPIE 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 127250Y (14 June 2023); https://doi.org/10.1117/12.2678932

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available