Pharmaceutical Logistics Model Results for Green Vehicle Routing and Patient Triage

A 5.5 KB Excel file contains model results for optimizing pharmaceutical supply chains post-pandemic. The research by Zahra Bahrami proposes a mixed integer linear programming model to route vehicles, locate services, and allocate urgent and non-urgent patients. The model minimizes total costs and greenhouse gas emissions while maximizing patient satisfaction, verified through real-world applications.

Use Cases

• Optimizing vehicle routing for medicine delivery based on the described three-objective model.
• Evaluating cost savings from automated medicine lockers based on the reported 14.74% and 13.511% reductions.
• Analyzing trade-offs between greenhouse gas emissions and patient satisfaction within a healthcare supply chain framework.
• Simulating patient triage and allocation to home delivery or locker services to improve home healthcare performance.

Strengths

• Model results are based on real-world applications mentioned in the description.
• The dataset is associated with a specific, peer-reviewed research model for pharmaceutical logistics.
• Quantifies cost savings from automated lockers as 14.74% and 13.511% for two different scenarios.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope or aggregated results.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

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 17:48:51; freshness should be verified.