In volatile markets, waiting months to understand where a supply chain is fragile is a luxury most teams no longer have. The purpose of a resilience sprint is simple: in two weeks or less than one month, we build a fast but faithful digital twin of your network using our tool SCM Globe Enterprise, we subject it to realistic shocks that we define together, and we translate simulation results into a concrete, time‑bound action plan. The outcome is not a slide deck full of generalities; it is a set of tested decisions your team can implement immediately, plus the living simulation files you can reuse and extend.
What we mean by “stress‑testing”
Stress‑testing is different from classical planning or static network design. Planning assumes relatively stable (normal) conditions and seeks an optimal plan for a narrow set of constraints. Stress‑testing assumes uncertainty. We deliberately push the network (closing a supplier for three weeks, blocking a port for ten days, dropping a warehouse shift, or doubling the demand in a region) and we watch how the system behaves over time.
Instead of asking “What is the plan?”, we ask “What would break first, how fast would it break, and which counter‑measures buy us the most resilience per dollar?”.
Please note that stress-testing isn’t only about downside risk; it also exposes growth opportunities and readiness gaps. We simulate favorable shocks (tender wins, nearshoring lead-time gains, expansion, etc.), and measure how much extra volume the network can absorb before service, cost, or cash breaks. The model shows where to adjust cadence and inventory parameters to capture demand with minimal investment, and what incremental cost-to-serve to expect.
The same resilience lens that protects against downside quantifies the cheapest path to capture upside.
Explore the approach in detail in this free white paper.
Also, you can read this case study on “Managing Supply Chain Risk through Resiliency and Supplier Selection“.
How the SC Resilience Sprint works (week‑by‑week)
We start with a scoping session to agree on a limited but high‑impact perimeter: a product family, a region, a strategic customer segment, or a growth initiative you cannot afford to get wrong. Keeping the perimeter tight is what makes the two‑week cadence realistic and impactful.
During the first week, we assemble a baseline model. Using SCM Globe’s map‑based modeling, we place facilities, routes, and vehicles directly on a live map and load the minimum viable data needed to run a realistic simulation. We keep data light: basic data of only 4 entities which are products, facilities, vehicles, and routes. When data is missing, we work with ranges and document assumptions. The aim is not a perfect digital twin; it is a defensible baseline that behaves like your network does in the real world for thirty to ninety days of operations.
Next, we run the baseline and stabilize it. Many networks, when simulated from their current settings, cannot run reliably for an important period of time without stockouts, stranded inventory, bottlenecks, or excessive cost. Before we talk disruption, we fix the basics.. This stabilization step alone often uncovers fast wins with measurable service and cost effects.
We then assemble and execute a library of disruption scenarios that reflect your actual exposure. We run each scenario for a realistic horizon, then capture how service, inventory, lead time, logistics costs, and cash behave.
The second week is about responses. For every high‑impact scenario, we test practical mitigation strategies and improvement options inside the model. Because scenarios are clones of the same baseline, we can compare options on equal footing and rank them by value, feasibility, and time to impact. By the end of the second week, we have a short list of actions that demonstrably change outcomes under stress.
Finally, we run a decision workshop. We present the few metrics that matter to executives and operators and we facilitate trade‑offs. The deliverable is a clear roadmap not just recommendations.
Why SCM Globe for this work
SCM Globe combines a simple, map-based modeler with a robust, time-based simulation engine and AI guidance. You build facilities, routes, and vehicles on a live map, clone scenarios in seconds, and the engine advances the network in time while enforcing capacities, calendars, and transport schedules. AI suggestions scan inputs and runs to spot missing or inconsistent parameters, highlight likely bottlenecks and late deliveries, and propose testable fixes such as delivery frequency changes, or order-quantity tweaks. Results merge the operational view (service, inventories, lead times, utilization) with finance and sustainability metrics (transport/facility costs and environmental KPIs). Collaboration is built‑in, so planners, logistics, and finance can iterate on the same model easily.
Just as important as the platform is the team using it. We’ve run similar projects across industrial companies and NGOs. SCM Globe tool is also used in classrooms and executive programs at top universities worldwide, and it’s been employed by the U.S. Air Force for logistics wargaming and mission planning.
Ready to start
If you have a critical flow you are worried about, a new market you are entering, or a plan you want to test before it becomes expensive to change, a resilience sprint is the fastest way to get answers you can trust. It’s very fast to run and the models start telling useful stories within days.
Start simple. Start today.