Pharmaceutical Logistics Vehicle Routing Model Outputs for Two Scenarios

5.5 KB of model outputs for a pharmaceutical supply chain optimization study. The data likely contains results from a mixed integer linear programming model for a green open vehicle routing problem, solved using an improved non-dominated sorting genetic algorithm-II. Author Zahra Samadi Bahrami published the dataset on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-29.

Use Cases

• Compare cost and emission trade-offs between routing scenarios based on the described three-objective model.
• Analyze the impact of automated medicine lockers on delivery costs based on the reported 14.74% and 13.511% reductions.
• Evaluate patient satisfaction outcomes in pharmaceutical home delivery services based on the triage concept mentioned in the description.
• Benchmark vehicle routing algorithms for healthcare logistics based on the described real-world application verification.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Model results are derived from a real-world application, as stated in the description.
• The study quantifies specific cost reductions: 14.74% for one scenario and 13.511% for another.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 5.5 KB size suggests it contains summary outputs, not detailed operational records.

Provenance

Source

figshare

Collection Method

Outputs from a computational model (mixed integer linear programming) applied to a real-world pharmaceutical logistics problem.

Freshness

Last updated 2026-05-29 17:48:52; freshness should be verified.