<b>Benchmark Instances and Computational Results for the RMALBP_PMS</b>

656.8 MB of benchmark instances and experimental results for the robotic mixed-model assembly line balancing problem with preventive maintenance scenarios (RMALBP_PMS). The data supports computational experiments reported in a manuscript by Kai Meng and is shared under a CC-BY-4.0 license to facilitate reproducibility. The dataset was last updated on 2026-06-04.

Use Cases

• Benchmarking new optimization algorithms based on the provided problem instances and results
• Reproducing computational experiments for the RMALBP_PMS problem described in the associated manuscript
• Comparing algorithm performance against established results for robotic mixed-model assembly lines
• Studying the impact of preventive maintenance scenarios on assembly line balancing solutions

Strengths

• 656.8 MB of data suggests a substantial collection of problem instances and computational results.
• The dataset is explicitly provided to support reproducibility and future comparison, indicating a research-oriented design.
• The CC-BY-4.0 license facilitates open sharing and reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download from the MAT files.
• Row count is unknown, which may limit suitability assessment for specific computational tasks.
• The description metadata is limited to the dataset's purpose, with no details on instance structure or result format.

Provenance

Source

Kai Meng via figshare

Collection Method

Created for computational experiments reported in a manuscript.

Freshness

Last updated 2026-06-04 11:25:07.