Strategy Comparison: Joint Control Model for Manufacturing Optimization

A simulation dataset presents a joint control strategy model for mechanical component manufacturing enterprises. The model, solved and simulated using MATLAB, unifies supplier selection, rework decisions, and quality sampling. The dataset was authored by Qingyu Hong and last updated on May 11, 2026.

Use Cases

• Optimizing supplier selection based on a confidence-interval model and binomial sampling for error risks.
• Evaluating rework feasibility using a cost-benefit model for production.
• Balancing inspection costs and product quality via a fraction-f sampling plan for quality control.
• Conducting sensitivity analysis on factors like spare-part defect rate and its impact on total profit.

Strengths

• The model integrates procurement, production, rework, and quality control into a unified framework, addressing fragmentation in single-stage optimization.
• Sensitivity analysis reveals specific impacts, such as the spare-part defect rate significantly affecting total profit.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The description is detailed but no sample data or column names are provided for validation.

Provenance

Source

Qingyu Hong via figshare

Collection Method

Model solved and simulated using MATLAB, likely based on theoretical constructs.

Freshness

Last updated 2026-05-11 17:45:08; freshness should be verified.