Advanced International Journal for Research
E-ISSN: 3048-7641
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Impact Factor: 9.11
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2026
Indexing Partners
An Automated Integrated Framework for Purchase Order Exception Handling and Manufacturing Synchronization
| Author(s) | Ms. SHOBHANJALY P NAIR |
|---|---|
| Country | India |
| Abstract | Today’s factory supply networks depend on ERP platforms to link buying information with workshop activity. Yet POs often fail checks or layout rules when divided or turned into barcodes. Because these steps do not sync well, delays hide what is happening, leaving outside suppliers unaware of current tasks - spreading issues across the chain. A robust, self-driven cyber-physical model is introduced here, built on separate layers of small services that spot broken purchase records, contain them, then fix without help.Starting with Oracle Integration Cloud, the system handles real-time coordination between services while using Oracle APEX to track diagnostics from one main hub. Instead of relying on batch updates, live signals from the vendor interface feed directly into a master record stamped with barcodes. That running log then kicks off event transfers through Apache Kafka, which stores each change in permanent sequence. Because every update flows through this chain, nothing gets lost along the way. Recovery takes less time now since errors are caught early and fixed automatically. Manufacturing sites spread across locations stay aligned without extra help from central IT teams. Compliance stays intact because every step leaves a traceable mark. |
| Keywords | Supply Chain Resilience, Digital Twin, Oracle Integration Cloud, Apache Kafka, ERP Exception Handling, Event Streaming, Cyber-Physical Systems. |
| Field | Computer Applications |
| Published In | Volume 7, Issue 4, July-August 2026 |
| Published On | 2026-08-11 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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