ModelChoice decision tree · Manufacturing
Supply Chain Resilience Decision
A nearshore second source, a better offshore supplier, vertical integration, or the status quo?
From the model’s decision tree
Best first decision: Single Offshore Supplier
The expected value of each first option when every later decision is also made well (the tree rolled back).
| First decision | Expected value | |
|---|---|---|
| Nearshore + Dual Source | $10,690,000 | |
| Single Offshore Supplier | $12,085,000 | ✔ best |
| Vertical Integration | $2,345,000 | |
| Status Quo | $10,450,000 |
| Measure | Value |
|---|---|
| Expected value of the best strategy | $12,085,000 |
| Best outcome on the best strategy | $17,500,000 |
| Worst outcome on the best strategy | $2,000,000 |
S-curve (cumulative probability) of Single Offshore Supplier from the saved simulation.
The decision
A consumer electronics manufacturer sources critical components from a single offshore supplier. Recent global disruptions (COVID, Suez Canal, chip shortage) have exposed the vulnerability of this approach. The COO must recommend a supply chain strategy to the board.
Objective
Maximize expected net profit over 5 years (revenue minus costs and disruption losses). This post-pandemic model shows why supply chain resilience has measurable economic value.
The options
- Option 1: Nearshore + Dual Source ($3M)
Establish a nearshore supplier as backup. Higher unit costs but much lower disruption risk (10% vs 25%). If major disruption hits, activate backup.
- Option 2: Single Offshore Supplier ($500K)
Continue current arrangement with minor improvements. Lowest cost if nothing goes wrong, but exposed to shipping delays, geopolitical risk, and quality. If geopolitical crisis: emergency nearshore, find alternative, or halt.
- Option 3: Vertical Integration ($8M)
Build own factory. Highest cost, factory ramp-up risk, but complete control. Eliminates supply chain dependency entirely.
- Option 4: Status Quo
No investment. Current multi-supplier arrangement with known vulnerabilities.
The decision tree
The tree has 3 decisions, 10 chance events and 25 outcomes. The best path is open: at every decision the best choice is marked, and the expected value beside each branch counts every cash flow from the start. Open any other branch to see what follows it.
DecisionChance event+$ cash flow on the branch
Nearshore + Dual Source −$3,000,000expected $10,690,000
Chance: Disruption Risk (Nearshore)- 70% No Disruption +$15,000,000payoff $12,000,000
- 20% Minor Disruption +$12,000,000payoff $9,000,000
10% Major Disruptionexpected $4,900,000
Decision: Major Disruption ResponseActivate Backup Supplier −$500,000expected $4,900,000 ✔ best
Chance: Backup Supplier Speed- 60% Fast Switchover +$10,000,000payoff $6,500,000
- 40% Slow Switchover +$6,000,000payoff $2,500,000
Wait for Recoveryexpected $1,400,000
Chance: Recovery Timeline- 40% Quick Recovery +$8,000,000payoff $5,000,000
- 60% Extended Downtime +$2,000,000payoff −$1,000,000
Single Offshore Supplier −$500,000expected $12,085,000 ✔ best
Chance: Disruption Risk (Offshore)- 45% No Disruption +$18,000,000payoff $17,500,000
- 25% Shipping Delays +$12,000,000payoff $11,500,000
15% Geopolitical Riskexpected $4,400,000
Decision: Geopolitical CrisisEmergency Nearshoring −$4,000,000expected $1,000,000
Chance: Emergency Nearshore Outcome- 50% Successful Transition +$8,000,000payoff $3,500,000
- 50% Partial Success +$3,000,000payoff −$1,500,000
Find Alternative Offshore −$1,500,000expected $4,400,000 ✔ best
Chance: Alternative Supplier- 40% Good Alternative Found +$10,000,000payoff $8,000,000
- 60% Poor Alternative +$4,000,000payoff $2,000,000
- Halt Production −$2,000,000payoff −$2,500,000
- 15% Quality Issues +$5,000,000payoff $4,500,000
Vertical Integration −$8,000,000expected $2,345,000
Chance: Factory Ramp-Up35% Smooth Ramp-Upexpected $8,900,000
Chance: Market Demand (Smooth)- 35% Strong Demand +$25,000,000payoff $17,000,000
- 45% Normal Demand +$15,000,000payoff $7,000,000
- 20% Weak Demand +$7,000,000payoff −$1,000,000
40% Slower Than Expected −$1,500,000expected $2,450,000
Chance: Market Demand (Slow Start)- 30% Strong Demand +$20,000,000payoff $10,500,000
- 45% Normal Demand +$11,000,000payoff $1,500,000
- 25% Weak Demand +$4,000,000payoff −$5,500,000
- 25% Significant Problems +$1,000,000payoff −$7,000,000
Status Quoexpected $10,450,000
Chance: Disruption Risk (Status Quo)- 50% No Disruption +$16,000,000payoff $16,000,000
- 25% Minor Disruption +$10,000,000payoff $10,000,000
- 15% Major Disruption +$3,000,000payoff $3,000,000
- 10% Catastrophic Disruption −$5,000,000payoff −$5,000,000
Change the numbers. Open the workbook with ModelChoice, change a probability or a cost in the tree, and the best decision updates at once.
Key assumptions
| Assumption | Value | Notes |
|---|---|---|
| Nearshore Setup Cost | $3,000,000 | Qualifying supplier, tooling, logistics |
| Offshore Improvement Cost | $500,000 | Audit, quality systems, buffer stock |
| Vertical Integration Cost | $8,000,000 | Factory build, equipment, staffing |
| Factory Ramp-Up Overrun | $1,500,000 | 40% probability of delay |
| Emergency Nearshoring Cost | $4,000,000 | Crisis-mode supplier qualification |
| Geopolitical Risk (Offshore) | 15% | Trade restrictions, sanctions, conflict |
| Major Disruption (Nearshore) | 10% | Reduced by dual-sourcing |
| Catastrophic Loss (Status Quo) | −$5,000,000 | Production halt, customer loss |
The figures are illustrative: the companies and numbers are invented for teaching.
Try it in ModelChoice
- Strategy Table. Compare resilience strategies with risk-return frontier
- Sensitivity Analysis. How does disruption probability change the optimal strategy?
- Risk Profile. What's the tail risk of the cheap offshore option?
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Further reading
Download the workbook and open it with ModelChoice. The free trial opens every example.
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An illustrative example: the figures are invented for teaching. Last updated 9 October 2026.