Cold Chain Pre-Cooling Network Optimization Model for Shandong Province, China

Shandong Province, China, serves as an empirical case study for a multi-objective optimization model of first-mile cold chain logistics. The model minimizes total logistics cost and maximizes product freshness, incorporating a stage-specific freshness decay function and transportation-related carbon emissions. The dataset, authored by Chen Ying and last updated in 2026, contains results from a genetic algorithm applied to three pre-cooling scenarios.

Use Cases

• Comparing the cost and freshness outcomes of centralized versus decentralized pre-cooling strategies based on the described model.
• Analyzing the trade-offs between logistics cost and product freshness in cold chain network design based on the multi-objective framework.
• Evaluating the environmental impact of different pre-cooling distribution strategies based on the incorporated carbon emissions metric.
• Testing or benchmarking optimization algorithms for location-routing problems in agricultural logistics based on the described genetic algorithm approach.

Strengths

• Includes a specific empirical case study in Shandong Province, China.
• Model incorporates multiple objectives: cost minimization, freshness maximization, and carbon emissions.
• Results provide quantified comparisons: a 3.79% cost reduction for the centralized strategy versus a 5.27% cost increase for the decentralized strategy.
• Uses a stage-specific freshness decay function to characterize perishability nonlinearly.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope, likely containing model parameters or summary results rather than extensive raw data.

Provenance

Source

figshare, authored by Chen Ying.

Collection Method

Likely contains the mathematical model, algorithm parameters, and/or results from the described optimization study.

Freshness

Last updated 2026-05-29 17:37:59; freshness should be verified.

Geography

Shandong Province, China.