Signal-to-Noise Ratios: Pharmaceutical Logistics Model Results

A 5.5 KB Excel file contains results from a novel model for pharmaceutical supply chains. The model, authored by Zahra Bahrami, uses a three-objective mixed integer linear programming approach to optimize routing costs, greenhouse gas emissions, and patient satisfaction. It was last updated in May 2026 and is licensed for reuse under CC-BY-4.0.

Use Cases

• Benchmarking vehicle routing algorithms based on the described three-objective model.
• Analyzing trade-offs between cost, emissions, and patient satisfaction in healthcare delivery.
• Evaluating the impact of automated medicine lockers on supply chain performance.
• Studying the application of triage concepts in logistics for urgent patient prioritization.

Strengths

• Model results are verified through real-world applications as stated in the description.
• The dataset is small (5.5 KB), facilitating quick download and inspection.
• The model quantifies specific cost savings, such as 14.74% for one scenario.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description is detailed on methodology but does not specify the exact data points contained.

Provenance

Source

figshare, authored by Zahra Samadi Bahrami.

Collection Method

Results from a 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 17:48:50; freshness should be verified.