Pharmaceutical Logistics Model Results for Green Vehicle Routing and Patient Triage

13.5 KB of model results in XLS format, authored by Zahra Bahrami and last updated in May 2026. The dataset contains outputs from a mixed integer linear programming model for pharmaceutical supply chain optimization. It proposes two scenarios for routing medicine deliveries to patients or automated lockers, aiming to minimize costs, greenhouse gas emissions, and maximize patient satisfaction.

Use Cases

• Benchmarking vehicle routing algorithms based on the described three-objective model for cost, emissions, and satisfaction.
• Analyzing the trade-offs between home delivery and automated locker allocation mentioned in the model scenarios.
• Evaluating the impact of patient triage (urgent vs. non-urgent) on pharmaceutical logistics network design.
• Estimating greenhouse gas emissions from medical deliveries based on varying speed levels due to traffic congestion.

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 reuse and distribution.
• The underlying model quantifies specific cost savings: 14.74% for one scenario and 13.511% for another.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 13.5 KB, indicating limited scope or aggregated summary data.

Provenance

Source

figshare

Collection Method

Output 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 17:48:43; freshness should be verified.