Railway Emergency Resource Inventory and Scheduling Model Results

A 5.5 KB Excel file contains inventory data and model results for railway emergency resource scheduling under uncertainty. The dataset was authored by Jianping Sun and last updated on May 19, 2026. It supports a study that developed an interval fuzzy credibility-constrained programming model to minimize scheduling time and cost.

Use Cases

• Benchmarking optimization algorithms like VEPSO, PSO, and NSGA-II based on the described model performance metrics.
• Analyzing the relationship between resource demand scaling and scheduling cost/time based on the described sensitivity analysis.
• Evaluating resource allocation satisfaction under different confidence levels for various accident scenarios as described in the study.

Strengths

• Model results include specific performance metrics: an average of 385 convergence iterations and a 93.3% convergence success rate.
• The dataset is small (5.5 KB), facilitating quick download and initial inspection.
• It is openly licensed under CC-BY-4.0 for reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description focuses on the methodological study; the actual inventory data's scope and completeness are not detailed.

Provenance

Source

figshare, author Jianping Sun

Collection Method

Likely generated as part of a research study on railway emergency resource scheduling optimization.

Freshness

Last updated 2026-05-19 17:30:45; freshness should be verified.