Journal of Advances in Developmental Research

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Exception Intelligence in High-Risk and High-Velocity Supply Chains: Typology, Playbooks, and Real-Time Resolution Systems

Author(s) Ashish Patil
Country United States
Abstract Modern supply chains, particularly those operating under highly regulated or high-velocity environments such as cell therapy and e-commerce, face mounting challenges from unplanned disruptions. Exception events—ranging from temperature excursions in cold chains to last-mile delivery delays—can drastically undermine operational performance and patient or customer outcomes. This paper introduces a field-validated exception typology framework that classifies disruptions by predictability and preventability and prescribes actor-driven, time-sensitive protocols for resolution. Leveraging over 600 documented incidents from both clinical logistics and e-commerce delivery chains, the study outlines empirically calibrated countermeasures, dashboards, escalation layers, and automation triggers. Using this approach, organizations achieved up to 36% faster resolution times, 12% improvement in SLA compliance, and improved regulatory traceability. The solution moves beyond generic exception handling toward contextualized, actor-mapped workflows that bridge control tower monitoring with frontline responsiveness.
Keywords Exception Typology, SLA Adherence, Regulated Logistics, E-Commerce Fulfillment, Temperature Excursion, Missed Scan, Predictive Alerts, Field Operations, Exception Playbooks
Published In Volume 16, Issue 2, July-December 2025
Published On 2025-07-26
Cite This Exception Intelligence in High-Risk and High-Velocity Supply Chains: Typology, Playbooks, and Real-Time Resolution Systems - Ashish Patil - IJAIDR Volume 16, Issue 2, July-December 2025. DOI 10.71097/IJAIDR.v16.i2.1475
DOI https://doi.org/10.71097/IJAIDR.v16.i2.1475
Short DOI https://doi.org/g9vdfr
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