Explainable Artificial Intelligence for Supplier Cost-Risk Assessment and Margin Optimization in Global Manufacturing Supply Chains
Mashfiqur Rahman · 2026 · American Journal of Interdisciplinary Studies
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
This study has addressed the problem of limited transparency in artificial intelligence-supported supplier assessment, where complex predictive models may identify cost risks and recommend sourcing actions without sufficiently explaining…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.63125/np6bw920