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Measures coherence metrics in EPC megaprojects, indicating implications for stability management.
This paper introduces the EPC Observatory and the Coherence Intelligence Platform, extending the Standard Coherence Fidelity Layer (SCFL) into Engineering, Procurement & Construction megaprojects. By treating EPC delivery as a sovereign-scale coupled system, the framework models multi-layer coupling, seam-driven rupture, irreversible dynamics, drift accumulation, phase-locking failures, tension escalation, and collapse geometry — failure modes structurally invariant with grid instability, shipping congestion, hospital collapse, sovereign drift, and reinsurance loss clusters. The paper formalizes the amplification cascade as the central operational mechanism: a physics-based model in which small upstream anomalies compound through seam networks into large downstream failures before conventional dashboards register any signal. The nine-operator MaaS pipeline (ERP Drift Telemetry → Ripple Field Extractor → Upstream Coherence Metrics → SCADA Stability Vectors → Seam Stress Mapper → Rupture Susceptibility Metrics → Catastrophe Modeling → Collapse Geometry Integrator → Irreversible Dynamics Metrics) converts existing ERP, SCADA, Primavera P6, BIM, and AVEVA telemetry into coherence-physics metrics without additional data-collection burden.A Preliminary holdout validation across five empirical collapse cases (Enron, SVB, Boeing, Texas Grid 2021, ACTIVSg2000) using a leave-one-out protocol (20% holdout fraction per run) yields a median AUC ≈ 0.87 (range 0.85–0.89) with ±1.3-week lead-time stability and embedding correlation r ≥ 0.96. The Precursor Window (PW) is formalized as PW = {t | ΔC(t) ≠ 0, P(t_m) > 0, S_k(t) < 1, C(t) ∉ ∂Ω} — the last bounded interval in which intervention can restore coherence before recoverability collapses. Key contributions include: SCFL state-space geometry for EPC (five-variable X(t) vector); eight-parameter seam physics model with proxy instrument mapping; discrete and continuous-time amplification cascade formulations; EPC Recovery-Trajectory Classification (R1–R4, Bonanno-equivalent); Executive KPI Bridge (Δ-drift → schedule-slip probability; Φ-phase stability → procurement coherence strength; τ-tension → seam-stress escalation rate); three-tier EPC value structure; and a defined 12-week passive data-mirroring pilot protocol with falsifiable success criteria (F1–F4). The paper is part of the Upstream Coherence Measurement Stratum (UCMS) Canon (128+ deposited manuscripts). Primary canon references: SCFL Vol. 1 (10.5281/zenodo.20571818), Ripple Physics (10.5281/zenodo.20985523), NRSCO v1.3 (10.5281/zenodo.20788254). sample report available for download Author: Ronald L Brogdon | Team Leader, UCMS | ORCID: 0009-0009-0507-2971 | measurement@coherencemanagement
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Ronald Brogdon (2026) studied this question.
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