Question 12 of 14

Capacity Utilization Management: The Blind Spot in 95% of Cost Models

Idle capacity is one of the largest hidden costs in any organization, yet almost no one measures it. This question reveals whether your organization tracks, understands, and manages the gap between the capacity it pays for and the capacity it actually uses.

Health Check Question 12
“How does your organization measure and manage capacity utilization?”
Dimension 6: TDABC Process Design

Why This Matters

In a landmark study of sixty-three companies, only three measured the cost of unused capacity. This finding reveals one of the most pervasive blind spots in cost management. Every organization pays for a certain level of capacity, whether in people, equipment, facilities, or technology. The gap between what is paid for and what is productively used represents a cost that most organizations cannot see, let alone manage.

The CAM-I (Consortium for Advanced Management International) capacity model provides the framework for understanding this problem. It distinguishes between theoretical capacity, practical capacity, productive capacity, and several categories of non-productive capacity including idle, standby, and waste. Traditional cost systems treat all capacity costs as product costs, spreading unused capacity across products and making everything appear more expensive than it should. TDABC, by contrast, calculates cost rates based on practical capacity and separately reports the cost of unused resources.

The business impact of this blind spot is substantial. A healthcare organization discovered that it was operating at 72.4% utilization, with the remaining 28% representing an untapped opportunity valued at 3.68 million pounds. An industrial distributor discovered that one of its warehouse operations was running at just 27% capacity utilization. In manufacturing, the optimal OEE (Overall Equipment Effectiveness) target is 85%, but industry averages hover between 60% and 65%. Each percentage point of utilization improvement translates to roughly 0.5% to 1% reduction in unit costs.

3/63
companies measured unused capacity cost
IMA capacity research
28%
untapped capacity opportunity in healthcare
NHS TDABC implementation
27%
utilization rate discovered at Lewis-Goetz warehouse
Industrial distribution case

The Four Maturity Levels

Question 12 assesses how your organization measures and manages the relationship between available capacity and actual utilization. Each level reflects a different degree of visibility into one of the largest cost categories in any organization.

1

Level 1: No Formal Capacity Measurement

Answer: “We don't formally measure capacity utilization.”

The organization has no systematic way to determine what percentage of its available capacity is being productively used. Overhead costs are allocated based on actual production volumes, which means that idle capacity costs are invisibly loaded onto products and services. When demand declines, unit costs appear to rise because the same fixed costs are spread across fewer units, creating a spiral where products look increasingly unprofitable.

Example from the Health Check: A manufacturer experiences a twenty percent decline in orders. Because the cost system allocates all factory overhead based on production volume, unit costs rise sharply. Management responds by raising prices, which drives away more customers, which raises unit costs further. The underlying issue is invisible: the cost of idle capacity is being hidden inside product costs.

  • Unit costs fluctuate with volume changes even when operational efficiency is constant
  • No concept of practical capacity exists in the cost model
  • Cannot distinguish between the cost of making products and the cost of having unused resources
  • Capacity investment decisions are made without utilization data
2

Level 2: Facility-Level Tracking Only

Answer: “We track capacity utilization at the facility or plant level but not per resource group.”

The organization tracks high-level utilization metrics such as overall factory throughput versus rated capacity, or headcount versus work volume at the department level. However, this aggregate view masks significant variation between resource groups. A facility may appear to be running at 75% utilization overall while some departments are at 95% capacity and others at 40%. Without resource-level visibility, bottleneck management and capacity optimization are imprecise.

Example from the Health Check: A plant manager reports 78% factory utilization to the executive team. But the assembly department is running at 92%, creating a bottleneck that limits overall throughput, while the machining department sits at 55% utilization. The aggregate number hides the actionable insight.

  • Aggregate metrics mask resource-level bottlenecks and idle capacity
  • Cost rates are not based on practical capacity per resource group
  • Capacity decisions are made for the facility rather than targeting specific constraints
  • Cannot link capacity costs to specific products, customers, or activities
3

Level 3: Practical Capacity Measured Per Resource Group

Answer: “We measure practical capacity for each resource group and calculate capacity cost rates accordingly.”

The organization has adopted the TDABC approach to capacity measurement. Practical capacity, typically eighty to eighty-five percent of theoretical maximum, is calculated for each resource pool. Cost rates are based on practical capacity rather than actual utilization, which means that product costs remain stable regardless of volume fluctuations. The cost of unused capacity is reported separately, making it visible to management for the first time.

Example from the Health Check: A financial services firm calculates practical capacity for each of its operational teams at 7,220 productive minutes per employee per month, adjusted for European working patterns. Cost rates per minute are fixed based on this denominator. When transaction volumes drop in quieter months, the cost of idle capacity appears as a separate line item rather than inflating per-transaction costs.

  • Seasonal and cyclical capacity variation may not be fully modeled
  • Capacity data may be updated infrequently
  • Understanding of the difference between idle, standby, and waste capacity may be limited
  • Capacity management may remain reactive rather than predictive
4

Level 4: Dynamic Capacity Management with Seasonal Modeling

Answer: “We dynamically manage capacity with seasonal and peak-load modeling, distinguishing between productive, idle, and standby capacity with full cost attribution.”

The organization operates a comprehensive capacity management system that distinguishes between productive capacity, idle capacity, standby capacity for peak loads, and waste. Seasonal patterns are modeled so that capacity costs are properly attributed across periods. Real-time or near-real-time utilization data feeds the model. Management actively uses capacity data to make decisions about staffing levels, equipment investment, outsourcing versus insourcing, and demand management.

Example from the Health Check: A logistics company models seasonal capacity requirements twelve months forward. During peak periods, standby capacity is pre-authorized at known cost. During off-peak periods, idle capacity is quantified and management evaluates options: accept it as the cost of readiness, reduce it through temporary staffing adjustments, or fill it with lower-margin work that still contributes positively above variable cost.

  • Comprehensive capacity modeling requires robust data infrastructure
  • Dynamic management demands executive engagement with capacity data
  • Seasonal models must be validated and recalibrated regularly
  • Organizational discipline needed to treat unused capacity as a managed cost rather than a hidden overhead

How to Move Up: Practical Steps

From Level 1 to Level 2: Quick Wins

Timeline: 2–4 weeks
  • Calculate practical capacity for your largest resource group using the standard formula: available hours minus breaks, training, and maintenance, then multiply by eighty to eighty-five percent
  • Compare current output or activity levels against this practical capacity to get your first utilization percentage
  • Estimate the cost of unused capacity by multiplying idle hours by the fully loaded cost rate per hour
  • Present the finding to management as the annual cost of idle resources to start the capacity conversation

From Level 2 to Level 3: Structural Improvements

Timeline: 1–3 months
  • Calculate practical capacity and capacity cost rates for each significant resource group in the organization
  • Modify cost calculations to use practical capacity as the denominator, separating unused capacity costs from product and service costs
  • Build a monthly capacity utilization report by resource group showing productive time, idle time, and the cost of each
  • Begin linking capacity data to product and customer costing so that pricing and portfolio decisions reflect true resource consumption

From Level 3 to Level 4: World-Class Practices

Timeline: 3–6 months
  • Model seasonal and cyclical capacity patterns to distinguish between structural idle capacity and temporary fluctuations
  • Implement the CAM-I capacity model to categorize non-productive capacity into idle, standby, and waste with appropriate management responses for each
  • Connect capacity data to scenario modeling so that demand changes automatically show their impact on utilization and unit costs
  • Establish a quarterly capacity review where management evaluates investment, divestment, and redeployment options based on utilization trends

Industry Benchmarks

IndustryTypical UtilizationKey Insight
Manufacturing60–65% OEE averageWorld-class OEE target is 85%; each percentage point improvement reduces unit cost by 0.5–1%; setup time reduction and maintenance optimization are the primary levers
Healthcare70–75% averageOperating room and equipment utilization are the highest-cost capacity pools; TDABC analysis has revealed 28% untapped opportunity in NHS applications
Financial ServicesHighly variableEmployee capacity is the primary resource; practical capacity of 7,220 minutes per month per employee is the standard baseline; branch and technology capacity require separate measurement
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