Pharmaceutical Supply Chain Routing Model Results for Green Vehicle Routing

A 5.5 KB dataset by Zahra Samadi Bahrami, last updated in May 2026, containing results from a mixed integer linear programming model for pharmaceutical logistics. The model optimizes a green open vehicle routing problem with three objectives: total routing costs, greenhouse gas emissions under varying traffic speeds, and patient satisfaction. It is verified through real-world applications and includes analysis of automated medicine locker deployment.

Use Cases

• Benchmarking vehicle routing algorithms based on the described three-objective optimization model.
• Analyzing trade-offs between cost, emissions, and patient satisfaction in pharmaceutical delivery scenarios.
• Evaluating the impact of automated medicine lockers on supply chain costs and performance.
• Applying triage concepts to route planning for urgent versus non-urgent patient deliveries.

Strengths

• Model results are verified through real-world applications, as stated in the description.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and modification.
• The model quantifies specific cost reductions from using automated lockers: 14.74% for one scenario and 13.511% for another.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or a summary of results rather than raw operational data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

figshare, authored by Zahra Samadi Bahrami.

Collection Method

Results from a proposed mixed integer linear programming model solved with an improved non-dominated sorting genetic algorithm-II and the LP-metric method.

Freshness

Last updated 2026-05-29 17:48:54; freshness should be verified.