Optimisation and Application of Entropy Weight Method-TOPSIS Model for Ranking the Importance of Urban Express Sites

With the rapid development of e-commerce, the importance of express delivery network in the modern logistics system is becoming more and more prominent. In order to scientifically assess the importance of urban express sites, this paper proposes a multi-objective decision-making method based on entropy weight method and TOPSIS model. The entropy weight method is objectively assigned by analysing the data dispersion of indicators, and the TOPSIS model is used to rank urban sites by calculating their distance from ideal and negative ideal solutions. In this paper, we firstly processed the data with multiple interpolation to ensure its accuracy, and selected four key indicators, namely, shipping volume, receiving volume, correlation and growth trend of express delivery volume. The results show that the entropy weight method-TOPSIS model can effectively assess the importance of each city site, provide a scientific basis for optimising the express delivery network, and have a wide range of application potential.

Authors

Publication Details

Journal
Mathematical Modeling and Algorithm Application
Published
2024-10-17
DOI
https://doi.org/10.54097/s33r2e17
Citations
1
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.68
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article

Optimisation and Application of Entropy Weight Method-TOPSIS Model for Ranking the Importance of Urban Express Sites

Zhihao Zhang
1 citations
Mathematical Modeling and Algorithm Application
Transportation Planning and Optimization
0.68
article

Optimisation and Application of Entropy Weight Method-TOPSIS Model for Ranking the Importance of Urban Express Sites

Zhihao Zhang
article en
1 citations

Abstract

With the rapid development of e-commerce, the importance of express delivery network in the modern logistics system is becoming more and more prominent. In order to scientifically assess the importance of urban express sites, this paper proposes a multi-objective decision-making method based on entropy weight method and TOPSIS model. The entropy weight method is objectively assigned by analysing the data dispersion of indicators, and the TOPSIS model is used to rank urban sites by calculating their distance from ideal and negative ideal solutions. In this paper, we firstly processed the data with multiple interpolation to ensure its accuracy, and selected four key indicators, namely, shipping volume, receiving volume, correlation and growth trend of express delivery volume. The results show that the entropy weight method-TOPSIS model can effectively assess the importance of each city site, provide a scientific basis for optimising the express delivery network, and have a wide range of application potential.

Mathematical Modeling and Algorithm ApplicationVol. 3(1)
Sustainable cities and communities
Openalex Percentile: Top 21%
Transportation Planning and Optimization
0.68
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Optimisation and Application of Entropy Weight Method-TOPSIS Model for Ranking the Importance of Urban Express Sites — Zhihao Zhang · Mathematical Modeling and Algorithm Application (2024) | TGRS Research Map | TGRS