Research on a Risk Assessment Method for Cold-Chain Logistics in Fresh Food E-commerce Based on AHP-PSO

DOI

10.2991/978-94-6239-758-3_23How to use a DOI?

Keywords

Fresh food e-commerce; Cold-chain logistics; Risk assessment; Analytic hierarchy process (AHP); Particle swarm optimization (PSO)

Abstract

With the deepening development of the new retail model, the risks facing cold-chain logistics in fresh-food e-commerce are becoming increasingly complex. The traditional Analytic Hierarchy Process (AHP) relies heavily on expert experience in risk assessment, which suffers from issues such as strong subjectivity and complicated consistency checks. This paper proposes an evaluation method that integrates Particle Swarm Optimization (PSO) to optimize AHP, thereby constructing a risk assessment framework for fresh-food e-commerce cold-chain logistics that includes six first-level indicators and 21 second-level indicators. Leveraging PSO’s strengths—its powerful global search capability and rapid convergence speed—the method optimizes AHP’s judgment matrix, effectively reducing subjective bias and automatically satisfying consistency requirements. Using three mainstream fresh-food e-commerce platforms in Guangdong Province as empirical cases, we validate the effectiveness and superiority of this approach. The research results show that the AHP-PSO-based evaluation method can more accurately identify key risk factors, providing fresh-food e-commerce enterprises with scientific decision-support for risk management.

Copyright

© 2026 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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TY  - CONF
AU  - Xirui Yang
AU  - Jing Zhao
PY  - 2026
DA  - 2026/09/08
TI  - Research on a Risk Assessment Method for Cold-Chain Logistics in Fresh Food E-commerce Based on AHP-PSO
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 226
EP  - 240
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_23
DO  - 10.2991/978-94-6239-758-3_23
ID  - Yang2026
ER  -