2 Related Work and Background........................................................................................ 61 | |
2.1 |
Supply Chain Resilience..................................................................................................... 61 |
2.2 |
Systems-of-Systems and Evolvability.................................................................................. 62 |
2.3 |
Multi-Agent Systems for Logistics and Supply Chains.......................................................... 62 |
2.4 |
AI-Ready Data and Real-Time Analytics.............................................................................. 62 |
2.5 |
Governance of Autonomous AI Systems............................................................................. 62 |
4 Architectural Principles for Resilient and Adaptive Logistics Ecosystems.......................... 63 | |
4.1 |
Evolvability as a First-Class Design Objective...................................................................... 63 |
4.2 |
Hierarchical Autonomy and Separation of Decision Concerns.............................................. 63 |
4.3 |
Interoperability by Design.................................................................................................. 64 |
4.4 |
Trust, Transparency, and Governance of Autonomy........................................................... 64 |
4.5 |
Graceful Degradation Under Contested Operations............................................................ 64 |
5 The Evolvable Multi-Agent Hierarchical Architecture....................................................... 65 | |
5.1 |
Architectural Overview and Hierarchical Layer Design........................................................ 65 |
5.2 |
Evolvability and Hierarchical Autonomy............................................................................. 66 |
5.3 |
The AI-Ready Data Intelligence Platform............................................................................ 66 |
6 Illustrative Use Case: Logistics Modernisation Under Contested Conditions...................... 68 | |
6.1 |
Scenario Context and Decision Challenge........................................................................... 68 |
6.2 |
Application of the Architecture.......................................................................................... 68 |
6.3 |
Illustrative Decision Cycle.................................................................................................. 69 |
6.4 |
Business Outcomes............................................................................................................ 69 |
7 Broader Implications for Circular, Smart, and Adaptive Supply Chains.............................. 70 | |
7.1 |
Circular Supply Chains: Enabling Closed-Loop Coordination................................................ 71 |
7.2 |
Smart Supply Chains: Distributed Intelligence over Centralised Automation........................ 71 |
7.3 |
Adaptive Supply Chains: Resilience Through Evolvability and Graceful Degradation............ 71 |
7.4 |
Recommendations for Practitioners and Researchers......................................................... 71 |
7.5 |
Threat Model for Contested Logistics Ecosystems............................................................... 72 |
8 Limitations and Future Work........................................................................................... 72 | |
8.1 |
Scope and Generalisability................................................................................................. 72 |
8.2 |
Evaluation and Quantification Challenges.......................................................................... 73 |
8.3 |
Adversarial Evaluation....................................................................................................... 73 |
8.4 |
Governance, Ethics, and Organisational Readiness............................................................. 73 |