Pharmaceutical Logistics Model Results for Green Vehicle Routing and Patient Allocation

A research model for pharmaceutical supply chain optimization in the post-pandemic era. The dataset likely contains results from a mixed integer linear programming model applied to a green open vehicle routing problem, evaluating costs, emissions, and patient satisfaction. The model was developed by Zahra Samadi Bahrami and last updated in May 2026.

Use Cases

• Benchmarking vehicle routing algorithms based on the described three-objective model for cost, emissions, and satisfaction.
• Analyzing the impact of automated medicine lockers on delivery costs based on the reported 14.74% and 13.511% reduction figures.
• Studying patient triage integration in logistics models based on the concept of prioritizing urgent patients for home delivery.
• Evaluating trade-offs between different vehicle fleet scenarios mentioned in the description.

Strengths

• Model outputs are based on real-world applications as stated in the description.
• Specific cost reduction percentages are provided: 14.74% for one scenario and 13.511% for another.
• The model framework incorporates multiple objectives: routing costs, greenhouse gas emissions, and patient satisfaction.

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 or summary-level results.

Provenance

Source

figshare, author Zahra Samadi Bahrami

Collection Method

Results from an improved non-dominated sorting genetic algorithm-II and LP-metric method applied to a proposed mathematical model.

Freshness

Last updated 2026-05-29 17:48:57; freshness should be verified.