Manufacturing Supply Chain Simulation Results for Joint Control Strategy

A simulation study proposes a joint control strategy for enterprise optimization in procurement, production, rework, and quality control for mechanical component manufacturing. The model, solved using MATLAB, includes a confidence-interval-based supplier selection model, a cost-benefit model for rework decisions, and a fraction-f sampling plan for quality control. The dataset, shared by Qingyu Hong on figshare under CC-BY-4.0, contains results from this simulation and sensitivity analysis.

Use Cases

• Modeling supplier selection costs based on confidence intervals and binomial sampling error risks.
• Evaluating rework feasibility in production using a cost-benefit model.
• Balancing inspection costs and product quality via a fraction-f sampling plan.
• Conducting sensitivity analysis on the impact of defect rates for spare parts, semi-finished, and finished products on total profit.

Strengths

• The model integrates procurement, production, rework, and quality control into a unified framework, addressing fragmentation in single-stage optimization.
• Specific modeling techniques are described, including confidence-interval-based screening and fraction-f sampling.
• The dataset is openly shared under a CC-BY-4.0 license.

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 on the model but provides no specifics on the actual data structure or sample values.

Provenance

Source

figshare

Collection Method

Simulation results generated via MATLAB modeling.

Freshness

Last updated 2026-05-11 17:45:06; freshness should be verified.