s7 - 1 course title: production and operations management course code: mgt 362 course book:...
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S7 - 3 Outline Capacity Design and Effective Capacity Capacity and Strategy Capacity Considerations Managing Demand Demand and Capacity Management in the Service SectorTRANSCRIPT
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Course Title: Production and Operations Management
Course Code: MGT 362
Course Book: Operations Management 10th Edition. By Jay Heizer & Barry Render
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Chapter 7S: Capacity and Constraint Management
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Outline
Capacity Design and Effective Capacity Capacity and Strategy Capacity Considerations Managing Demand Demand and Capacity
Management in the Service Sector
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Outline – Continued
Bottleneck Analysis and Theory of Constraints Process Times for Stations,
Systems, and Cycles Theory of Constraints Bottleneck Management
Break-Even Analysis Single-Product Case Multiproduct Case
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Outline – Continued
Reducing Risk with Incremental Changes
Applying Expected Monetary Value to Capacity Decisions
Applying Investment Analysis to Strategy-Driven Investments Investment, Variable Cost, and
Cash Flow Net Present Value
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Process Strategies
The objective of a process strategy is The objective of a process strategy is to build a production process that to build a production process that meets customer requirements and meets customer requirements and product specifications within cost product specifications within cost and other managerial constraintsand other managerial constraints
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Capacity
The throughput, or the number of units a facility can hold, receive, store, or produce in a period of time
Determines fixed costs
Determines if demand will be satisfied
Three time horizons
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Planning Over a Time Horizon
Figure S7.1
Modify capacity Use capacity
Intermediate-range planning
Subcontract Add personnelAdd equipment Build or use inventory Add shifts
Short-range planning
Schedule jobsSchedule personnel Allocate machinery*
Long-range planning
Add facilitiesAdd long lead time equipment *
* Difficult to adjust capacity as limited options exist
Options for Adjusting Capacity
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Design and Effective Capacity
Design capacity is the maximum theoretical output of a system Normally expressed as a rate
Effective capacity is the capacity a firm expects to achieve given current operating constraints Often lower than design capacity
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Utilization and Efficiency
Utilization is the percent of design capacity Utilization is the percent of design capacity achievedachieved
Efficiency is the percent of effective capacity Efficiency is the percent of effective capacity achievedachieved
Utilization = Actual output/Design capacity
Efficiency = Actual output/Effective capacity
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
Utilization = 148,000/201,600 = 73.4%
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
Utilization = 148,000/201,600 = 73.4%
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
Utilization = 148,000/201,600 = 73.4%
Efficiency = 148,000/175,000 = 84.6%
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shifts
Design capacity = (7 x 3 x 8) x (1,200) = 201,600 rolls
Utilization = 148,000/201,600 = 73.4%
Efficiency = 148,000/175,000 = 84.6%
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shiftsEfficiency = 84.6%Efficiency of new line = 75%
Expected Output = (Effective Capacity)(Efficiency)
= (175,000)(.75) = 131,250 rolls
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Bakery Example
Actual production last week = 148,000 rollsEffective capacity = 175,000 rollsDesign capacity = 1,200 rolls per hourBakery operates 7 days/week, 3 - 8 hour shiftsEfficiency = 84.6%Efficiency of new line = 75%
Expected Output = (Effective Capacity)(Efficiency)
= (175,000)(.75) = 131,250 rolls
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Capacity and Strategy
Capacity decisions impact all 10 decisions of operations management as well as other functional areas of the organization
Capacity decisions must be integrated into the organization’s mission and strategy
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Capacity Considerations
1. Forecast demand accurately2. Understand the technology and capacity
increments3. Find the optimum
operating level (volume)
4. Build for change
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Economies and Diseconomies of Scale
Economies of scale
Diseconomies of scale
25 - room roadside motel 50 - room
roadside motel
75 - room roadside motel
Number of Rooms25 50 75
Ave
rage
uni
t cos
t(d
olla
rs p
er ro
om p
er n
ight
)
Figure S7.2
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Managing Demand
Demand exceeds capacity Curtail demand by raising prices,
scheduling longer lead time Long term solution is to increase capacity
Capacity exceeds demand Stimulate market Product changes
Adjusting to seasonal demands Produce products with complementary
demand patterns
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Complementary Demand Patterns
4,000 –
3,000 –
2,000 –
1,000 –
J F M A M J J A S O N D J F M A M J J A S O N D J
Sale
s in
uni
ts
Time (months)
Jet ski engine sales
Figure S7.3
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Complementary Demand Patterns
4,000 –
3,000 –
2,000 –
1,000 –
J F M A M J J A S O N D J F M A M J J A S O N D J
Sale
s in
uni
ts
Time (months)
Snowmobile motor sales
Jet ski engine sales
Figure S7.3
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Complementary Demand Patterns
4,000 –
3,000 –
2,000 –
1,000 –
J F M A M J J A S O N D J F M A M J J A S O N D J
Sale
s in
uni
ts
Time (months)
Combining both demand patterns reduces the variation
Snowmobile motor sales
Jet ski engine sales
Figure S7.3