Logistics Chain Failure Mode & Effects Analysis (FMEA) Sheet
The Logistics Chain Failure Mode & Effects Analysis (FMEA) Sheet is a structured, Excel-based risk assessment tool tailored for mining operations to systematically identify, prioritize, and mitigate potential failure modes across the end-to-end logistics chain—including haulage, loading, unloading, stockpiling, rail/road transport, and port interfaces. It quantifies failure likelihood, severity, and detectability using a Risk Priority Number (RPN) scoring methodology, enabling proactive reliability-centered interventions. Designed specifically for mine logistics, it integrates operational constraints such as equipment duty cycles, geotechnical variability, and supply chain interdependencies.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Pre-commissioning risk validation for new haulage corridors
- ✓ Root cause analysis during recurring logistics bottlenecks
- ✓ Regulatory compliance documentation for mine safety management systems (e.g., ISO 45001, MSHA Part 46)
📐 Key Formulas
Risk Priority Number (RPN)
RPN = Severity × Occurrence × Detection
Quantitative score (typically 1–1000) used to rank failure modes by combined impact, frequency, and detectability; higher values indicate higher priority for mitigation.
Criticality Index (CI)
CI = Severity × Occurrence
Subset metric focusing on inherent risk exposure, excluding detection capability—used to identify high-impact, high-frequency failures requiring design or procedural intervention.
Logistics Impact Factor (LIF)
LIF = Σ(Downstream Node Weight × Failure Propagation Coefficient)
Custom multiplier applied to RPN that accounts for network-level consequences, where node weights reflect throughput value (e.g., t/h) and propagation coefficients model delay amplification across interfaces (e.g., 1.3 for crusher-to-rail handoff).