Ontario Mobile Phone Supply Chain Model Results for Profit and Delivery Optimization

Ontario's mobile phone industry is modeled using a distributionally robust bi-level closed-loop supply chain network. The model achieves a profit of CAD 92.55 million and a 97.16% on-time delivery rate under a 5% capacity fluctuation scenario. It was created by Qianxue Zhang and published on figshare in May 2026.

Use Cases

• Benchmarking deterministic supply chain models against robust counterparts based on the reported 1.6% cost loss comparison.
• Testing decomposition algorithms for large-scale mixed integer linear programming based on the described accelerated Benders method.
• Analyzing trade-offs between profit and delivery reliability in closed-loop systems based on the simultaneous optimization of upper-level profit and lower-level on-time delivery.
• Evaluating robustness of optimization models under capacity uncertainty based on the performance against sample average approximation (SAA).

Strengths

• Model results include specific financial (CAD 92.55 million profit) and performance (97.16% on-time delivery) metrics.
• The methodology provides probabilistic feasibility guarantees against capacity uncertainty using sub-Gaussian ambiguity sets.
• Comparative analysis shows a 2% constraint violation probability maintained across sample sizes versus SAA.

Limitations

• The dataset is very small (234.3 KB), suggesting it contains model outputs or parameters rather than extensive operational 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 empirical analysis.

Provenance

Source

Qianxue Zhang via figshare.

Collection Method

Results from applying a proposed distributionally robust optimization model and algorithm.

Freshness

Last updated 2026-05-12 12:33:50; freshness should be verified.

Geography

Ontario, Canada.