s7 - 1 course title: production and operations management course code: mgt 362 course book:...
TRANSCRIPT
S7 - 1
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 ManagementChapter 7S: Capacity and Constraint Management
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Summary
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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Tactics for Matching Capacity to Demand
1. Making staffing changes
2. Adjusting equipment Purchasing additional machinery
Selling or leasing out existing equipment
3. Improving processes to increase throughput
4. Redesigning products to facilitate more throughput
5. Adding process flexibility to meet changing product preferences
6. Closing facilities
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Demand and Capacity Management in the Service Sector
Demand management
Appointment, reservations, FCFS rule
Capacity management
Full time, temporary, part-time staff
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Bottleneck Analysis and Theory of Constraints
Each work area can have its own unique capacity
Capacity analysis determines the throughput capacity of workstations in a system
A bottleneck is a limiting factor or constraint
A bottleneck has the lowest effective capacity in a system
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Process Times for Stations, Systems, and Cycles
The process time of a stationprocess time of a station is the time to produce a unit at that single workstation
The process time of a systemprocess time of a system is the time of the longest process in the system … the bottleneck
The process cycle timeprocess cycle time is the time it takes for a product to go through the production process with no waiting
These two might be quite
different!
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A Three-Station Assembly Line
Figure S7.4
2 min/unit 4 min/unit 3 min/unit
A B C
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Process Times for Stations, Systems, and Cycles
The system process timesystem process time is the process time of the bottleneck after dividing by the number of parallel operations
The system capacitysystem capacity is the inverse of the system process time
The process cycle timeprocess cycle time is the total time through the longest path in the system
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Capacity Analysis
Two identical sandwich lines
Lines have two workers and three operations
All completed sandwiches are wrapped
Wrap
37.5 sec/sandwich
Order
30 sec/sandwich
Bread Fill Toast
15 sec/sandwich 20 sec/sandwich 40 sec/sandwich
Bread Fill Toast
15 sec/sandwich 20 sec/sandwich 40 sec/sandwich
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Capacity AnalysisWrap
37.5 sec
Order
30 sec
Bread Fill Toast
15 sec 20 sec 40 sec
Bread Fill Toast
15 sec 20 sec 40 sec
Toast work station has the longest processing time – 40 seconds
The two lines each deliver a sandwich every 40 seconds so the process time of the combined lines is 40/2 = 20 seconds
At 37.5 seconds, wrapping and delivery has the longest processing time and is the bottleneck
Capacity per hour is 3,600 seconds/37.5 seconds/sandwich = 96 sandwiches per hour
Process cycle time is 30 + 15 + 20 + 40 + 37.5 = 142.5 seconds
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Capacity Analysis
Standard process for cleaning teeth
Cleaning and examining X-rays can happen simultaneously
Checkout
6 min/unit
Check in
2 min/unit
DevelopsX-ray
4 min/unit 8 min/unit
DentistTakesX-ray
2 min/unit
5 min/unit
X-rayexam
Cleaning
24 min/unit
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Capacity Analysis
All possible paths must be compared
Cleaning path is 2 + 2 + 4 + 24 + 8 + 6 = 46 minutes
X-ray exam path is 2 + 2 + 4 + 5 + 8 + 6 = 27 minutes
Longest path involves the hygienist cleaning the teeth
Bottleneck is the hygienist at 24 minutes
Hourly capacity is 60/24 = 2.5 patients
Patient should be complete in 46 minutes
Checkout
6 min/unit
Check in
2 min/unit
DevelopsX-ray
4 min/unit 8 min/unit
DentistTakesX-ray
2 min/unit
5 min/unit
X-rayexam
Cleaning
24 min/unit
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Theory of Constraints
Five-step process for recognizing and managing limitationsStep 1:Step 1: Identify the constraint
Step 2:Step 2: Develop a plan for overcoming the constraints
Step 3:Step 3: Focus resources on accomplishing Step 2
Step 4:Step 4: Reduce the effects of constraints by offloading work or expanding capability
Step 5:Step 5: Once overcome, go back to Step 1 and find new constraints
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Bottleneck Management
1. Release work orders to the system at the pace of set by the bottleneck
2. Lost time at the bottleneck represents lost time for the whole system
3. Increasing the capacity of a non-bottleneck station is a mirage
4. Increasing the capacity of a bottleneck increases the capacity of the whole system
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Break-Even Analysis
Technique for evaluating process and equipment alternatives
Objective is to find the point in dollars and units at which cost equals revenue
Requires estimation of fixed costs, variable costs, and revenue
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Break-Even Analysis
Fixed costs are costs that continue even if no units are produced Depreciation, taxes, debt, mortgage
payments
Variable costs are costs that vary with the volume of units produced Labor, materials, portion of utilities
Contribution is the difference between selling price and variable cost
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Break-Even Analysis
Costs and revenue are linear functions Generally not the case in the
real world
We actually know these costs Very difficult to verify
Time value of money is often ignored
AssumptionsAssumptions
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Profit corri
dor
Loss
corridor
Break-Even Analysis
Total revenue line
Total cost line
Variable cost
Fixed cost
Break-even pointTotal cost = Total revenue
–
900 –
800 –
700 –
600 –
500 –
400 –
300 –
200 –
100 –
–| | | | | | | | | | | |
0 100 200 300 400 500 600 700 800 900 10001100
Co
st in
do
llars
Volume (units per period)Figure S7.5
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Break-Even Analysis
BEPx = break-even point in unitsBEP$ = break-even point in dollarsP = price per unit (after all discounts)
x = number of units producedTR= total revenue = PxF = fixed costsV = variable cost per unitTC= total costs = F + Vx
TR = TCor
Px = F + Vx
Break-even point occurs whenBreak-even point occurs when
BEPx =F
P - V
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Break-Even Analysis
BEPx = break-even point in unitsBEP$ = break-even point in dollarsP = price per unit (after all discounts)
x = number of units producedTR= total revenue = PxF = fixed costsV = variable cost per unitTC= total costs = F + Vx
BEP$ = BEPx P
= P
=
=
F(P - V)/P
FP - V
F1 - V/P
Profit = TR - TC= Px - (F + Vx)= Px - F - Vx= (P - V)x - F