Case 1
Demand amplification across a supply chain
Orders swing far more upstream than end-customer demand, so the business pays for overtime, excess inventory and missed service at once.
DecisionWhich delays and ordering policies drive the amplification, and which change dampens it?
Case 2
Capacity that lags demand
A step in demand produces overshoot in inventory, hiring or backlog that planning reads as forecasting error.
DecisionHow much of the overshoot is structural, and how should replenishment and hiring policies be set?
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Case 3
Exposure to chokepoints and concentrated sourcing
A large share of volume depends on one strait, port, region or supplier.
DecisionWhich sites run short first, how long can each hold out, and what does a closure cost per week?
Case 4
Sizing buffers and flexibility
The business must decide how much safety stock, second-source capacity, air-freight cover or multi-gateway contracting to pay for every year.
DecisionWhich options pay for themselves against the expected annual loss — and which do not?
Case 5
Policies with delayed side-effects
Deferred maintenance, aggressive inventory cuts or promotional pricing improve this quarter and erode performance later.
DecisionWhat are the long-run consequences of a policy that looks right in the short term?
Case 6
A contested problem, or resilience reporting to the board
Functions attribute the problem to one another, or leadership needs a quantified view of resilience rather than a heat map.
DecisionWhat shared, testable model can the leadership team agree on — and what is the expected loss under plausible disruptions?