Sudden demand spikes feel like good news — until your raw material capacity can’t keep up.
Most planners instinctively focus on increasing production.
But when supply is constrained, chasing volume can actually reduce profitability.
In this article, I’ll break down how to manage a 20% demand surge when one raw material becomes the bottleneck — and how to allocate production in a way that protects contribution margin instead of just service level.
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The Problem: Demand Growth Meets Capacity Constraint
Imagine this scenario:
- Demand increases by 20% across multiple SKUs.
- Production depends on two key raw materials.
- One material (RM1) becomes insufficient.
- You cannot produce all required quantities.
At this point, you face a strategic choice:
-
Spread shortages evenly across all products
-
Or allocate resources selectively based on profitability
Most businesses choose option 1 because it feels fair.
But fairness does not equal optimal financial outcome.
Step 1: Identify the Real Bottleneck
Before making decisions, confirm the actual constraint.
In my case:
- RM2 capacity was sufficient.
- RM1 had a shortage of 5,800 units.
This clarity is critical.
Without identifying the true limiting resource, allocation decisions become guesswork.
In supply chain terms, this is the bottleneck — the factor that determines total system output.
Step 2: Change the Decision Metric
Under normal conditions, planning revolves around demand fulfillment.
Under constraint, the metric must shift.
Instead of asking:
“How do we meet all demand?”
You should ask:
“Where does each unit of constrained material generate the highest financial return?”
This requires evaluating:
- Contribution margin per SKU
- Raw material consumption per SKU
- Margin generated per unit of constrained resource
This reframes production from volume optimization to profit optimization.
Step 3: Rank SKUs by Profit Efficiency
Not all products create equal value per unit of raw material.
If a SKU generates low contribution margin but consumes a high amount of the constrained input, it becomes inefficient during shortage.
In my scenario:
- One SKU had the lowest margin
- It also consumed relatively higher RM1 per unit
- Its profit per unit of constrained material was the weakest
Continuing to prioritize it would dilute overall profitability.
So instead of distributing shortages evenly, I concentrated the shortage on the lowest-profit SKU.
Why Equal Allocation Is Often a Mistake
Spreading shortages across all SKUs may:
- Reduce service levels across the board
- Impact high-margin products
- Lower total contribution margin
Strategic allocation does the opposite:
- Protects high-margin SKUs
- Maintains stronger financial performance
- Accepts limited lost sales where impact is lowest
This is a classic application of constraint-based planning principles.
Results of the Model
By reallocating production based on profit efficiency:
- Overall service level reached 91%
- High-margin SKUs were fully served
- Lost sales were concentrated on the lowest-return product
- Total contribution margin was preserved
The key insight:
100% service level is not always the optimal goal.
Profit protection under constraint is more important than equal fulfillment.
What Businesses Should Do After a Demand Surge
A demand spike raises strategic questions:
Was this caused by:
- A short-term promotion?
- A one-time customer order?
- A market shift?
- A forecasting error?
Depending on the answer, planning actions differ.
Short-Term
- Validate root cause of demand surge
- Explore emergency sourcing or supplier flexibility
Medium-Term
- Revisit safety stock policies for constrained materials
- Include constraint scenarios in S&OP discussion.
Long-Term
Develop dual sourcing strategies
Build scenario planning tools into regular planning cycles
Monitor resource utilization trends proactively
Lessons for Supply Chain Professionals
This case reinforced three important principles:
-
The bottleneck defines system output
-
Volume does not equal value
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Allocation must align with financial strategy
Many planners focus heavily on forecast accuracy and service levels.
But in constrained environments, financial optimization becomes the priority.
Understanding contribution margin per constrained resource is a powerful skill for planners aiming to move into strategic roles.
Final Thought
Demand volatility is inevitable.
Constraints are inevitable.
What differentiates strong supply chain decision-making is not reacting to demand — but allocating intelligently under pressure.
When resources are limited, every unit must work harder.
And the best way to ensure that is by aligning operational decisions with financial impact.

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