Integrated Optimization of Location and Routing for Fresh Agricultural Products in First-Mile Logistics Considering Time Windows and Spoilage Cost

DOI

10.2991/978-94-6239-758-3_56How to use a DOI?

Keywords

fresh agricultural products; location-routing problem; cold chain logistics; time window; genetic algorithm

Abstract

This paper studies the integrated location-routing problem for fresh agricultural products in first-mile logistics. A mathematical model minimizes total cost including construction, transportation, spoilage, and time window penalties. A hybrid algorithm (K-means + improved GA) is proposed. A case study verifies significant reductions in cost and distance while improving utilization and service level.

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  - Liying Li
AU  - Wenning Liu
PY  - 2026
DA  - 2026/09/08
TI  - Integrated Optimization of Location and Routing for Fresh Agricultural Products in First-Mile Logistics Considering Time Windows and Spoilage Cost
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 577
EP  - 582
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_56
DO  - 10.2991/978-94-6239-758-3_56
ID  - Li2026
ER  -