Example report. This is a representative resilience assessment of the kind a design partner receives at the end of a pilot. Data shown is illustrative.

Operational Risk Assessment

Venipak Baltic Network · Generated from a resilience pilot

1. Executive Summary

This network has 2 critical vulnerabilities. The most significant is Sort_K_Main (Kaunas main hub), which causes a -42% throughput drop when unavailable — enough to breach same-day delivery SLAs across the eastern region.

2 critical 2 moderate 1 low

2. Baseline Performance

8,540/hrThroughput

6.1hAvg transit

205,000Parcels in

204,100Delivered

24.0hHorizon

3. Single Point of Failure Analysis

Throughput impact if each node is unavailable (most critical first).

Node	Throughput impact
Sort_K_Main	-42%
Van_V_Delivery	-18%
Sort_V_Local	-15%
Van_R_Delivery	-11%
Sort_T_Local	-6%

4. Disruption Scenario Results

Scenario	Disruption	Throughput Δ	Transit Δ	RTO	MAO
Kaunas hub outage (4h)	Disable Sort_K_Main	-38%	+55%	3.2h	FAIL
Vilnius fleet reduced	Van_V_Delivery cap→100	-12%	+18%	1.1h	WARNING
Peak surge (+40%)	Slow all sources ×1.4	-5%	+30%	-	PASS

5. Risk Matrix

Risk Priority Number = probability × impact × (6 − detectability). Higher = more urgent.

Node	Prob	Impact	Detect	RPN
Sort_K_Main	3	5	2	60
Van_V_Delivery	4	3	3	36
Sort_V_Local	2	3	4	12

6. Mitigation Recommendations

Mitigation	Type	Targets	Recovered Δ
Add a second sorting line at Kaunas main hub	add_capacity	Sort_K_Main	+34%
Reroute Vilnius overflow to Kaunas during outages	reroute	Sort_V_Local	+9%

Appendix

Model	Venipak Baltic Network (68 nodes, 92 edges)
MAO thresholds	throughput drop ≤ 20%, transit rise ≤ 50%, RTO ≤ 2.0h
Methodology	Discrete-event simulation; deltas vs the undisrupted baseline. RTO via sliding-window throughput recovery. Engine validated against known analytical answers.
ISO 22301	Suitable as Business Impact Analysis (BIA) evidence: disruption impacts, single points of failure, and recovery times.