Multicollinearity Diagnostics: Manufacturing Cost-Quality Optimization Model

A study by Qingyu Hong proposes a joint control strategy for mechanical component manufacturing enterprises. The model unifies supplier selection, rework decisions, and quality sampling to optimize procurement, production, and quality control costs. It was solved and simulated using MATLAB, with results indicating the spare-part defect rate significantly impacts total profit.

Use Cases

• Optimizing supplier selection based on a confidence-interval-based screening model.
• Evaluating rework feasibility using a cost-benefit model for production.
• Balancing inspection costs and product quality with a fraction-f sampling plan.
• Conducting sensitivity analysis on defect rates for total profit impact.

Strengths

• The model integrates procurement, production, rework, and quality control into a unified optimization framework.
• Sensitivity analysis was conducted to reveal key profit drivers, specifically the spare-part defect rate.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is very small at 5.5 KB, suggesting limited scope or a model summary rather than extensive raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

figshare

Collection Method

A model developed and simulated using MATLAB, likely containing resulting simulation or sensitivity analysis data.

Freshness

Last updated 2026-05-11 17:45:07; freshness should be verified.