Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way.

ABSTRACT: Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the various vehicle delivery speeds with dynamic congestion levels. Simultaneously, it has developed the cold chain products replenishment strategy by considering delivery route, multi-depot condition and even vehicle types, aiming to minimize the total cost and carbon emissions, and maximizing the cold chain products freshness. To achieve this, this study build up a multi-objective vehicle routing optimization model and designed a hybrid algorithm combining large-scale neighborhood search and NAGA-II. Through computationa

SUBMITTER: Kai W 

PROVIDER: S-EPMC11760025 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature