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Strategic Capacity
Management
• Capacity is the amount of output that
a system is capable of achieving over
a specified period of time.
• Strategic capacity planning is an
approach for determining the overall
capacity level of capital intensive
resources, including facilities,
equipment, and overall labor force
size
Types of Capacity
• Design or installed capacity
• Effective or operating capacity
• Normal capacity
Time Horizons
• Long Range
• Intermediate Range
• Short Range
Determinants of Effective Capacity
• Facilities
• Products or services
• Processes
• Human considerations
• Operations
• External forces
Capacity Focus
• The concept of the focused factory holds that
production facilities work best when they
focus on a fairly limited set of production
objectives
• Plants Within Plants (PWP)
– Extend focus concept to operating level
Capacity Flexibility
• Flexible plants
• Flexible processes
• Flexible workers
Design capacity = 50 trucks/day
Effective capacity = 40 trucks/day
Actual output = 36 units/day
Actual output = 36 units/day
Efficiency = = 90%
Effective capacity 40 units/ day
Utilization = Actual output = 36 units/day = 72%
Design capacity 50 units/day
Capacity cushion is 28%
Efficiency/Utilization Example
Example of Capacity Utilization
During one week of production, a plant produced
83 units of a product. Its historic highest or
best utilization recorded was 120 units per
week. What is this plant’s capacity utilization
rate?
Capacity utilization rate = Actual output.
Best operating level
= 83/120
=0.69 or 69%
Capacity Bottlenecks
Inputs
To customers
(a) Operation 2 a bottleneck
50/hr
1 2 3
200/hr 200/hr
(b) All operations bottlenecks
2 3
1
Inputs
To customers
200/hr 200/hr 200/hr
Capacity Bottlenecks
Capacity Planning: Balance
Stage 1 Stage 2 Stage 3
Units
per
month
6,000 7,000 5,000
Unbalanced stages of production
Stage 1 Stage 2 Stage 3
Units
per
month
6,000 6,000 6,000
Balanced stages of production
Maintaining System Balance: Output of one stage is the
exact input requirements for the next stage
Types of Processes (Continued)
Stage 1 Stage 2
Buffer
Multi-stage Process with Buffer
Kanban Operation
WK(2)
PK(1) PK(i+1)
PK(2) PK(N)
WK(1) WK(N)
WK(i+1)
WK(i) PK(i)
RM FG
Kanban Stage
1
Kanban Stage
i
Station
1
Station
2
Station
i
Station
i+1
Station
N+1
Figure 3.3. A kanban stage formed by two adjacent stations.
From stage i-1 To stage i+1
1
2
i
3
Kanban Stage
i
i +1
WK
PK
4
K
K-1
5
Capacity Strategies (MTS)
Time between
increments
Capacity
increment
Planned unused
capacity
Time
(a) Expansionist strategy
Forecast of
capacity required
Capacity
Capacity Strategies (MTO)
Time between
increments
Capacity
increment
Time
Forecast of
capacity required
Capacity
Planned use of
short-term options
(b) Wait-and-see strategy
The Goal
How do the “making money” measures translate
to the production environment?
(Jonah’s translation)
• Throughput – Is the rate at which the system
generates money through “Sales”
• Inventory – all the money that the system has
invested in purchasing things which it intends
to sell.
• Operational Expenses – all the money the
system spends in order to turn inventory into
throughput.
Theory of Constraints- Goldratt
• Any system can produce only as much as its
critically constrained resource
70 units
Per day
40 units
Per day
60 units
Per day
Constraint
Maximum Throughput = 40 units per day
60 units
Per day
The Goal
Why Alex’s plant was successful:
Change in Focus
from the “cost world” to the “throughput world”
Cost
Throughput
Inventory
Throughput
Inventory
Cost
Managing Seasonal Stock
• Capacity versus inventory tradeoff in
seasonal demand/supply situation
• Two basic approaches in aggregate
planning ( Sales and operations Planning)
– Chase Option : Produce as per demand, hiring
and firing strategy
– Level Option: Produce at the same level, level
the workforce
– Mix approaches
Managing Seasonal Stock (Sales and
Operations Planning)
• “Chase” strategy (chase the demand)
Matching capacity to demand; the planned output for a
period is the expected demand for that period.
 Exact Production vary workforce
• “Level” strategy (level work force)
Maintaining a steady rate of regular-time output while
meeting variations in demand by a combination of
options.
 Constant work force, vary inventory and stock out
Illustration
A Toy manufacturer faces seasonal demand. The manufacturer
expects that the last quarter is going to have a peak demand
and the other three quarters will have a lean demand.
Demand in units
• Q1 8000
• Q2 8000
• Q3 8000
• Q4 12000
• Inventory carrying cost per quarter is Rs 3
• Each worker can produce 500 toys per quarter
• Number of workers=18
• Each worker for 1 quarter the additional cost is Rs 6000
• The company can decide either to work with level production, which is to
produce at the same level throughout the year of the total requirement
of 36,000 toys, it can produce 9,000 every quarter or produce the
quantity exactly equal to demand in each quarter.
Q1 Q2 Q3 Q4
Demand 8000 8000 8000 12000
Level option
Production 9000 9000 9000 9000
Hiring Cost 0 0 0 0
Inv. C. Cst 3000 6000 9000 0
Chase option
Production 8000 8000 8000 12000
Hiring Cost 0 0 0 48000
Inv. C. Cst 0 0 0 0
Illustration: Managing Seasonal Stock
Cost: level option= 18,000 Chase option= 48000
Seasonal Demand- Managing Inventory
0
2000
4000
6000
8000
10000
Jan Feb Mar Apr May Jun
4500
5500
7000
10000
8000
6000
0
2000
4000
6000
8000
10000
Jan Feb Mar Apr May Jun
4500 4000
9000
8000
4000
6000
Suppose the figure to
the right represents
forecast demand in
units
Now suppose this
lower figure represents
the aggregate capacity
of the company to
meet demand
What we want to do is
balance out the
production rate,
workforce levels, and
inventory to make
these figures match up
Aggregate Planning Examples:
Unit Demand and Cost Data
Materials $5/unit
Holding costs $1/unit per mo.
Marginal cost of stock out $1.25/unit per mo.
Hiring and training cost $200/worker
Layoff costs $250/worker
Labor hours required .15 hrs/unit
Straight time labor cost $8/hour
Beginning inventory 250 units
Productive hours/worker/day 7.25
Paid straight hrs/day 8
Suppose we have the following unit demand and cost
information:
Demand/mo Jan Feb Mar Apr May Jun
4500 5500 7000 10000 8000 6000
Jan Feb Mar Apr May Jun
Days/mo 22 19 21 21 22 20
Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145
Units/worker 1063.33 918.33 1015 1015 1063.33 966.67
$/worker $1,408 1,216 1,344 1,344 1,408 1,280
Productive hours/worker/day 7.25
Paid straight hrs/day 8
Demand/mo Jan Feb Mar Apr May Jun
4500 5500 7000 10000 8000 6000
Given the demand and cost information below, what
are the aggregate hours/worker/month, units/worker, and
dollars/worker?
7.25x22
7.25x22=159.5 hrs
& 159.5
/.15=1063.33
22x8hrsx$8=$1408
Cut-and-Try Example: Determining
Straight Labor Costs and Output
Chase Strategy
(Hiring & Firing to meet demand)
Jan
Days/mo 22
Hrs/worker/mo 159.5
Units/worker 1,063.33
$/worker $1,408
Jan
Demand 4,500
Beg. inv. 250
Net req. 4,250
Req. workers 3.997
Hired
Fired 3
Workforce 4
Ending inventory 0
Lets assume our current workforce is 7
workers.
First, calculate net requirements for
production, or 4500-250=4250 units
Then, calculate number of workers
needed to produce the net
requirements, or
4250/1063.33=3.997 or 4 workers
Finally, determine the number of
workers to hire/fire. In this case we
only need 4 workers, we have 7, so
3 can be fired.
Jan Feb Mar Apr May Jun
Days/mo 22 19 21 21 22 20
Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145
Units/worker 1,063 918 1,015 1,015 1,063 967
$/worker $1,408 1,216 1,344 1,344 1,408 1,280
Jan Feb Mar Apr May Jun
Demand 4,500 5,500 7,000 10,000 8,000 6,000
Beg. inv. 250
Net req. 4,250 5,500 7,000 10,000 8,000 6,000
Req. workers 3.997 5.989 6.897 9.852 7.524 6.207
Hired 2 1 3
Fired 3 2 1
Workforce 4 6 7 10 8 7
Ending inventory 0 0 0 0 0 0
Below are the complete calculations for the remaining
months in the six month planning horizon
Jan Feb Mar Apr May Jun
Demand 4,500 5,500 7,000 10,000 8,000 6,000
Beg. inv. 250
Net req. 4,250 5,500 7,000 10,000 8,000 6,000
Req. workers 3.997 5.989 6.897 9.852 7.524 6.207
Hired 2 1 3
Fired 3 2 1
Workforce 4 6 7 10 8 7
Ending inventory 0 0 0 0 0 0
Jan Feb Mar Apr May Jun Costs
Material $21,250.00 $27,500.00 $35,000.00 $50,000.00 $40,000.00 $30,000.00 203,750.00
Labor 5,627.59 7,282.76 9,268.97 13,241.38 10,593.10 7,944.83 53,958.62
Hiring cost 400.00 200.00 600.00 1,200.00
Firing cost 750.00 500.00 250.00 1,500.00
$260,408.62
Below are the complete calculations for the remaining months in
the six month planning horizon with the other costs included
Level Workforce Strategy (Surplus and
Shortage Allowed)
Jan
Demand 4,500
Beg. inv. 250
Net req. 4,250
Workers 6
Production 6,380
Ending inventory 2,130
Surplus 2,130
Shortage
Lets take the same problem as
before but this time use the
Level Workforce strategy
This time we will seek to use
a workforce level of 6 workers
1063 x6=6378
Jan Feb Mar Apr May Jun
Demand 4,500 5,500 7,000 10,000 8,000 6,000
Beg. inv. 250 2,130 2,140 1,230 -2,680 -1,300
Net req. 4,250 3,370 4,860 8,770 10,680 7,300
Workers 6 6 6 6 6 6
Production 6,380 5,510 6,090 6,090 6,380 5,800
Ending inventory 2,130 2,140 1,230 -2,680 -1,300 -1,500
Surplus 2,130 2,140 1,230
Shortage 2,680 1,300 1,500
Note, if we recalculate this sheet with 7 workers
we would have a surplus
Below are the complete calculations for the remaining months in the six
month planning horizon
Jan Feb Mar Apr May Jun
4,500 5,500 7,000 10,000 8,000 6,000
250 2,130 10 -910 -3,910 -1,620
4,250 3,370 4,860 8,770 10,680 7,300
6 6 6 6 6 6
6,380 5,510 6,090 6,090 6,380 5,800
2,130 2,140 1,230 -2,680 -1,300 -1,500
2,130 2,140 1,230
2,680 1,300 1,500
Jan Feb Mar Apr May Jun
$8,448 $7,296 $8,064 $8,064 $8,448 $7,680 $48,000.00
31,900 27,550 30,450 30,450 31,900 29,000 181,250.00
2,130 2,140 1,230 5,500.00
3,350 1,625 1,875 6,850.00
$241,600.00
Below are the complete calculations for the
remaining months in the six month
planning horizon with the other costs
included
Note, total costs
under this strategy
are less than
Chase at
$260.408.62
Labor
Material
Storage
Stockout
Build In Flexibility
100% –
80% –
60% –
40% –
20% –
0 –
Nissan
Chrysler
Honda
GM
Toyota
Ford
Percent of North American Vehicles
Made on Flexible Assembly Lines
Evaluating Alternatives
Minimum
cost
Average
cost
per
unit
0
Rate of output
Production units have an optimal rate of output for minimal cost.
Evaluating Alternatives (contd…)
Minimum cost & optimal operating rate are
functions of size of production unit.
Average
cost
per
unit
0
Small
plant Medium
plant Large
plant
Output rate
Planning Service Capacity vs. Manufacturing
Capacity
• Time: Goods can not be stored for later use and
capacity must be available to provide a service
when it is needed
• Location: Service goods must be at the customer
demand point and capacity must be located near
the customer
• Volatility of Demand: Much greater than in
manufacturing
Capacity Utilization &
Service Quality
• Best operating point is near 70% of capacity
• High level of un certainty- Low utilization
• High Level of Certainty- 70% to 100% of service
capacity

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3. Capacity 22 HR.ppt

  • 2. • Capacity is the amount of output that a system is capable of achieving over a specified period of time. • Strategic capacity planning is an approach for determining the overall capacity level of capital intensive resources, including facilities, equipment, and overall labor force size
  • 3. Types of Capacity • Design or installed capacity • Effective or operating capacity • Normal capacity Time Horizons • Long Range • Intermediate Range • Short Range
  • 4. Determinants of Effective Capacity • Facilities • Products or services • Processes • Human considerations • Operations • External forces
  • 5. Capacity Focus • The concept of the focused factory holds that production facilities work best when they focus on a fairly limited set of production objectives • Plants Within Plants (PWP) – Extend focus concept to operating level
  • 6. Capacity Flexibility • Flexible plants • Flexible processes • Flexible workers
  • 7. Design capacity = 50 trucks/day Effective capacity = 40 trucks/day Actual output = 36 units/day Actual output = 36 units/day Efficiency = = 90% Effective capacity 40 units/ day Utilization = Actual output = 36 units/day = 72% Design capacity 50 units/day Capacity cushion is 28% Efficiency/Utilization Example
  • 8. Example of Capacity Utilization During one week of production, a plant produced 83 units of a product. Its historic highest or best utilization recorded was 120 units per week. What is this plant’s capacity utilization rate? Capacity utilization rate = Actual output. Best operating level = 83/120 =0.69 or 69%
  • 9. Capacity Bottlenecks Inputs To customers (a) Operation 2 a bottleneck 50/hr 1 2 3 200/hr 200/hr
  • 10. (b) All operations bottlenecks 2 3 1 Inputs To customers 200/hr 200/hr 200/hr Capacity Bottlenecks
  • 11. Capacity Planning: Balance Stage 1 Stage 2 Stage 3 Units per month 6,000 7,000 5,000 Unbalanced stages of production Stage 1 Stage 2 Stage 3 Units per month 6,000 6,000 6,000 Balanced stages of production Maintaining System Balance: Output of one stage is the exact input requirements for the next stage
  • 12. Types of Processes (Continued) Stage 1 Stage 2 Buffer Multi-stage Process with Buffer
  • 13. Kanban Operation WK(2) PK(1) PK(i+1) PK(2) PK(N) WK(1) WK(N) WK(i+1) WK(i) PK(i) RM FG Kanban Stage 1 Kanban Stage i Station 1 Station 2 Station i Station i+1 Station N+1 Figure 3.3. A kanban stage formed by two adjacent stations. From stage i-1 To stage i+1 1 2 i 3 Kanban Stage i i +1 WK PK 4 K K-1 5
  • 14. Capacity Strategies (MTS) Time between increments Capacity increment Planned unused capacity Time (a) Expansionist strategy Forecast of capacity required Capacity
  • 15. Capacity Strategies (MTO) Time between increments Capacity increment Time Forecast of capacity required Capacity Planned use of short-term options (b) Wait-and-see strategy
  • 16. The Goal How do the “making money” measures translate to the production environment? (Jonah’s translation) • Throughput – Is the rate at which the system generates money through “Sales” • Inventory – all the money that the system has invested in purchasing things which it intends to sell. • Operational Expenses – all the money the system spends in order to turn inventory into throughput.
  • 17. Theory of Constraints- Goldratt • Any system can produce only as much as its critically constrained resource 70 units Per day 40 units Per day 60 units Per day Constraint Maximum Throughput = 40 units per day 60 units Per day
  • 18. The Goal Why Alex’s plant was successful: Change in Focus from the “cost world” to the “throughput world” Cost Throughput Inventory Throughput Inventory Cost
  • 19. Managing Seasonal Stock • Capacity versus inventory tradeoff in seasonal demand/supply situation • Two basic approaches in aggregate planning ( Sales and operations Planning) – Chase Option : Produce as per demand, hiring and firing strategy – Level Option: Produce at the same level, level the workforce – Mix approaches
  • 20. Managing Seasonal Stock (Sales and Operations Planning) • “Chase” strategy (chase the demand) Matching capacity to demand; the planned output for a period is the expected demand for that period.  Exact Production vary workforce • “Level” strategy (level work force) Maintaining a steady rate of regular-time output while meeting variations in demand by a combination of options.  Constant work force, vary inventory and stock out
  • 21. Illustration A Toy manufacturer faces seasonal demand. The manufacturer expects that the last quarter is going to have a peak demand and the other three quarters will have a lean demand. Demand in units • Q1 8000 • Q2 8000 • Q3 8000 • Q4 12000 • Inventory carrying cost per quarter is Rs 3 • Each worker can produce 500 toys per quarter • Number of workers=18 • Each worker for 1 quarter the additional cost is Rs 6000 • The company can decide either to work with level production, which is to produce at the same level throughout the year of the total requirement of 36,000 toys, it can produce 9,000 every quarter or produce the quantity exactly equal to demand in each quarter.
  • 22. Q1 Q2 Q3 Q4 Demand 8000 8000 8000 12000 Level option Production 9000 9000 9000 9000 Hiring Cost 0 0 0 0 Inv. C. Cst 3000 6000 9000 0 Chase option Production 8000 8000 8000 12000 Hiring Cost 0 0 0 48000 Inv. C. Cst 0 0 0 0 Illustration: Managing Seasonal Stock Cost: level option= 18,000 Chase option= 48000
  • 23. Seasonal Demand- Managing Inventory 0 2000 4000 6000 8000 10000 Jan Feb Mar Apr May Jun 4500 5500 7000 10000 8000 6000 0 2000 4000 6000 8000 10000 Jan Feb Mar Apr May Jun 4500 4000 9000 8000 4000 6000 Suppose the figure to the right represents forecast demand in units Now suppose this lower figure represents the aggregate capacity of the company to meet demand What we want to do is balance out the production rate, workforce levels, and inventory to make these figures match up
  • 24. Aggregate Planning Examples: Unit Demand and Cost Data Materials $5/unit Holding costs $1/unit per mo. Marginal cost of stock out $1.25/unit per mo. Hiring and training cost $200/worker Layoff costs $250/worker Labor hours required .15 hrs/unit Straight time labor cost $8/hour Beginning inventory 250 units Productive hours/worker/day 7.25 Paid straight hrs/day 8 Suppose we have the following unit demand and cost information: Demand/mo Jan Feb Mar Apr May Jun 4500 5500 7000 10000 8000 6000
  • 25. Jan Feb Mar Apr May Jun Days/mo 22 19 21 21 22 20 Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145 Units/worker 1063.33 918.33 1015 1015 1063.33 966.67 $/worker $1,408 1,216 1,344 1,344 1,408 1,280 Productive hours/worker/day 7.25 Paid straight hrs/day 8 Demand/mo Jan Feb Mar Apr May Jun 4500 5500 7000 10000 8000 6000 Given the demand and cost information below, what are the aggregate hours/worker/month, units/worker, and dollars/worker? 7.25x22 7.25x22=159.5 hrs & 159.5 /.15=1063.33 22x8hrsx$8=$1408 Cut-and-Try Example: Determining Straight Labor Costs and Output
  • 26. Chase Strategy (Hiring & Firing to meet demand) Jan Days/mo 22 Hrs/worker/mo 159.5 Units/worker 1,063.33 $/worker $1,408 Jan Demand 4,500 Beg. inv. 250 Net req. 4,250 Req. workers 3.997 Hired Fired 3 Workforce 4 Ending inventory 0 Lets assume our current workforce is 7 workers. First, calculate net requirements for production, or 4500-250=4250 units Then, calculate number of workers needed to produce the net requirements, or 4250/1063.33=3.997 or 4 workers Finally, determine the number of workers to hire/fire. In this case we only need 4 workers, we have 7, so 3 can be fired.
  • 27. Jan Feb Mar Apr May Jun Days/mo 22 19 21 21 22 20 Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145 Units/worker 1,063 918 1,015 1,015 1,063 967 $/worker $1,408 1,216 1,344 1,344 1,408 1,280 Jan Feb Mar Apr May Jun Demand 4,500 5,500 7,000 10,000 8,000 6,000 Beg. inv. 250 Net req. 4,250 5,500 7,000 10,000 8,000 6,000 Req. workers 3.997 5.989 6.897 9.852 7.524 6.207 Hired 2 1 3 Fired 3 2 1 Workforce 4 6 7 10 8 7 Ending inventory 0 0 0 0 0 0 Below are the complete calculations for the remaining months in the six month planning horizon
  • 28. Jan Feb Mar Apr May Jun Demand 4,500 5,500 7,000 10,000 8,000 6,000 Beg. inv. 250 Net req. 4,250 5,500 7,000 10,000 8,000 6,000 Req. workers 3.997 5.989 6.897 9.852 7.524 6.207 Hired 2 1 3 Fired 3 2 1 Workforce 4 6 7 10 8 7 Ending inventory 0 0 0 0 0 0 Jan Feb Mar Apr May Jun Costs Material $21,250.00 $27,500.00 $35,000.00 $50,000.00 $40,000.00 $30,000.00 203,750.00 Labor 5,627.59 7,282.76 9,268.97 13,241.38 10,593.10 7,944.83 53,958.62 Hiring cost 400.00 200.00 600.00 1,200.00 Firing cost 750.00 500.00 250.00 1,500.00 $260,408.62 Below are the complete calculations for the remaining months in the six month planning horizon with the other costs included
  • 29. Level Workforce Strategy (Surplus and Shortage Allowed) Jan Demand 4,500 Beg. inv. 250 Net req. 4,250 Workers 6 Production 6,380 Ending inventory 2,130 Surplus 2,130 Shortage Lets take the same problem as before but this time use the Level Workforce strategy This time we will seek to use a workforce level of 6 workers 1063 x6=6378
  • 30. Jan Feb Mar Apr May Jun Demand 4,500 5,500 7,000 10,000 8,000 6,000 Beg. inv. 250 2,130 2,140 1,230 -2,680 -1,300 Net req. 4,250 3,370 4,860 8,770 10,680 7,300 Workers 6 6 6 6 6 6 Production 6,380 5,510 6,090 6,090 6,380 5,800 Ending inventory 2,130 2,140 1,230 -2,680 -1,300 -1,500 Surplus 2,130 2,140 1,230 Shortage 2,680 1,300 1,500 Note, if we recalculate this sheet with 7 workers we would have a surplus Below are the complete calculations for the remaining months in the six month planning horizon
  • 31. Jan Feb Mar Apr May Jun 4,500 5,500 7,000 10,000 8,000 6,000 250 2,130 10 -910 -3,910 -1,620 4,250 3,370 4,860 8,770 10,680 7,300 6 6 6 6 6 6 6,380 5,510 6,090 6,090 6,380 5,800 2,130 2,140 1,230 -2,680 -1,300 -1,500 2,130 2,140 1,230 2,680 1,300 1,500 Jan Feb Mar Apr May Jun $8,448 $7,296 $8,064 $8,064 $8,448 $7,680 $48,000.00 31,900 27,550 30,450 30,450 31,900 29,000 181,250.00 2,130 2,140 1,230 5,500.00 3,350 1,625 1,875 6,850.00 $241,600.00 Below are the complete calculations for the remaining months in the six month planning horizon with the other costs included Note, total costs under this strategy are less than Chase at $260.408.62 Labor Material Storage Stockout
  • 32. Build In Flexibility 100% – 80% – 60% – 40% – 20% – 0 – Nissan Chrysler Honda GM Toyota Ford Percent of North American Vehicles Made on Flexible Assembly Lines
  • 33. Evaluating Alternatives Minimum cost Average cost per unit 0 Rate of output Production units have an optimal rate of output for minimal cost.
  • 34. Evaluating Alternatives (contd…) Minimum cost & optimal operating rate are functions of size of production unit. Average cost per unit 0 Small plant Medium plant Large plant Output rate
  • 35. Planning Service Capacity vs. Manufacturing Capacity • Time: Goods can not be stored for later use and capacity must be available to provide a service when it is needed • Location: Service goods must be at the customer demand point and capacity must be located near the customer • Volatility of Demand: Much greater than in manufacturing
  • 36. Capacity Utilization & Service Quality • Best operating point is near 70% of capacity • High level of un certainty- Low utilization • High Level of Certainty- 70% to 100% of service capacity