DACRI: Decision-Aware Causal Intervention Ranking for Critical Supply Chains

Shiqi Huang, Jiani He, Dingyan Shang, Yihua Xu, Jize Li et al.|August 11, 2026arXiv

Key Takeaway

For real supply-chain problems, choosing the best intervention requires balancing model complexity against domain knowledge—adaptive ranking improves outcomes by 5-16% in some cases, but simpler policies often work just as well or better, especially under uncertainty.

Summary

This paper introduces a benchmark for choosing interventions in supply-chain disruptions based on maximizing recoverable value, not just identifying what went wrong.

reasoning evaluation applications

Key Terms

causal-inference counterfactual-evaluation ranking out-of-distribution