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Capacity & Utilization

Capacity is how much you CAN make. Utilization is how much you’re ACTUALLY making.

Pizza shop example:

  • Your oven fits 10 pizzas at once (that’s your CAPACITY)
  • Tonight you’re baking 7 pizzas (that’s your UTILIZATION)
  • Utilization = 7 ÷ 10 = 70%

Is 100% good? NOT ALWAYS!

PlaceGood UtilizationWhy?
Emergency Room30-40%What if 10 ambulances arrive at once?!
Fire Department20-30%Can’t predict fires — need ready trucks!
Movie Theater50-80%Tuesday matinee = empty, Saturday = full
Train80-90%Same commuters every day = predictable

Simple Rule:

  • Predictable demand → higher utilization OK
  • Unpredictable demand → keep spare capacity!

Capacity: “The ability to hold, receive, store, or accommodate” [Chapter 5, Slide 4]

Business Definition: “In business, viewed as the amount of output that a system is capable of achieving over a specific period of time” [Chapter 5, Slide 4]

Capacity Utilization Rate: “A measure of how close the firm is to its best possible operating level” [Chapter 5, Slide 7]

Strategic Capacity Planning: “Determining the overall level of capacity-intensive resources that best supports the company’s long-range competitive strategy” — Facilities, Equipment, Labor force size [Chapter 5, Slide 6]

TypeDefinitionFormula
Design CapacityMaximum output under ideal conditionsTheoretical maximum
Effective CapacityMaximum output under normal operating constraints (maintenance, breaks, defects)Design Capacity - Allowances
Actual OutputWhat is actually being producedAlways ≤ Effective Capacity

Formula: Utilization = Capacity Used ÷ Capacity Available

Interpretation:

  • 100% = Operating at full capacity
  • 100% = Overtime, overuse (unsustainable)

  • <50% = Significant idle capacity

Strategic Implications:

  • High utilization = Lower unit cost (fixed costs spread over more units) but less flexibility
  • Low utilization = Higher flexibility but potentially wasteful

The output level that minimizes average unit cost:

  • Too low: Fixed costs spread over few units = high cost per unit
  • Too high: Overtime, equipment stress, quality issues = high cost per unit
  • Just right: Economies of scale without overextension

The relationship is CONTEXT-DEPENDENT:

ContextOptimal UtilizationRationale
Emergency Room30-40%High uncertainty, high stakes — must have capacity for emergencies
Fire Department20-30%Cannot predict demand, but response time is critical
Commuter Train80-90%Predictable demand, can manage peaks
Postal Sorting70-85%Predictable volumes, automation reduces variability
Manufacturing75-85%Balance efficiency with maintenance and flexibility
TermDefinitionRelationship
Capacity CushionReserve capacity to handle sudden demand100% - Utilization Rate
Economies of ScaleCost per unit decreases as volume increasesDrives high utilization strategy
Diseconomies of ScaleCost per unit increases at very high volumesLimits optimal utilization
Focused FactoryFactory specializes in narrow product mixAchieves better utilization through focus

From Slides:

  • Capacity Planning: A company determining facilities, equipment, and labor force size to support long-range competitive strategy [Chapter 5, Slide 6]
  • Utilization Measurement: Measuring how close the firm is to its best operating level to assess efficiency [Chapter 5, Slide 7]

Enriched Examples:

  • Restaurant Example:

    • Design capacity: 200 seats × 2 turnovers/night = 400 customers/night
    • Effective capacity: 200 seats × 1.5 turnovers (considering meal time, kitchen capacity) = 300 customers/night
    • Actual: 240 customers/night
    • Utilization = 240 ÷ 300 = 80%
  • Semiconductor Fab:

    • Design capacity: 50,000 wafers/month (ideal conditions, no downtime)
    • Effective capacity: 42,000 wafers/month (maintenance, setup time)
    • Actual: 38,000 wafers/month (demand constraints)
    • Utilization = 38,000 ÷ 50,000 = 76% (vs. design) or 38,000 ÷ 42,000 = 90% (vs. effective)
  • Hotel:

    • Design capacity: 500 rooms × 365 nights = 182,500 room-nights/year
    • Industry average utilization (occupancy): 65-70%
    • At 70%: 127,750 room-nights sold
    • At 90%: Would require turning away groups, overworking staff, maintenance backlog

An essay might ask you to analyze optimal utilization for a given service operation or to explain the capacity-service quality relationship. Framework: (1) define capacity and utilization, (2) identify the service characteristics (uncertainty, stakes, customer contact), (3) recommend optimal utilization range with justification, (4) discuss trade-offs between efficiency and service quality.

  • Two Utilization Calculations: Can calculate vs. Design Capacity (theoretical) or Effective Capacity (realistic). MCQs may give both and ask which to use.
  • Service vs. Manufacturing: In services, capacity is time-perishable (empty hotel room tonight can’t be sold tomorrow). In manufacturing, capacity can create inventory.
  • Optimal ≠ 100%: Optimal utilization depends on context. Emergency services need low utilization; predictable services can handle high utilization.

CAPACITY = Can Accommodate, Plan Appropriate, Increase Yield In Targeted Capacity

Utilization = “Used over Can”

  • Used (actual output)
  • over
  • Can (capacity available)

Context Matters for Services:

  • High Stakes + High Uncertainty = Low utilization optimal (ER, Fire)
  • Low Stakes + Predictable = High utilization acceptable (Train, Postal)

Chapter5.pptx [Slide 3-8, 17-18]