NSEA: A Resilient ERP Framework Integrating Quantum-Safe Cryptography and Neuro-Symbolic Reasoning for Industrial Adaptability
Modern enterprise resource planning (ERP) systems confront dual challenges in mitigating quantum computing vulnerabilities and managing dynamic supply chain disruptions. This study proposes a neuro-symbolic ERP architecture (NSEA) incorporating post-quantum cryptographic protocols to enable real-time cybersecurity and adaptive operational optimization. The framework integrates CRYSTALS-Kyber lattice-based encryption with hierarchical graph neural-symbolic reasoning, achieving sub-5μs encryption latency across industrial IoT (IIoT) sensor edge nodes while maintaining 98.3% threat detection accuracy in simulated cyber-physical attacks. Validated through multi-tier consumer electronics supply chain deployments, the system demonstrates 19.8% operational cost reduction and 40.7% faster disruption recovery versus SAP S/4HANA baselines, with optimized outcomes particularly observed in Air Conditioning inventory synchronization (standard deviation reduced from 28.4% to 9.1%) and cross-plant production coordination. A digital resilience entropy metric (DRE=0.87±0.03) derived from Kolmogorov-Sinai entropy principles quantifies system stability under concurrent security breaches and logistics interruptions. Backward compatibility testing confirms 92.4% interoperability with legacy SAP MM/PP modules through dedicated API translation layers, providing a risk-averse upgrade pathway for Industry 4.0 implementations.
Authors
- Yi-Chu Lin
- Yong Lin
Institutions
- Rutgers, The State University of New Jersey (US)
- Key Laboratory of Guangdong Province (CN)
- Guangdong Peizheng College
Publication Details
- Journal
- IEEE Access
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/access.2025.3562739
- Citations
- 2
- Primary Topic
- Computability, Logic, AI Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 3.01