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Figure 7.2.: Implied utilization vs probability of having all servers utilized Implied utilization Probability that all servers are utilized m=1 m=2 m=5 m=10 m= m=3
Citation preview
Matching Supply with Demand:An Introduction to Operations Management
Gérard Cachon ChristianTerwiesch
All slides in this file are copyrighted by Gerard Cachon and Christian Terwiesch. Any instructor that adopts Matching Supply with
Demand: An Introduction to Operations Management as a required text for their course is free to use and modify these slides as desired. All others must obtain explicit written permission from the authors to
use these slides.
Trauma center moves to diversion status once all servers are busy (incoming patients are directed to other locations)
Figure 7.1.: Process flow diagram for trauma center
3 trauma bays
Figure 7.2.: Implied utilization vs probability of having all servers utilizedImplied utilization
Probabilitythat all serversare utilized
m=1m=2
m=5 m=10
m=200
0.1
0.2
0.3
0.4
0.5
0.6
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1
m=3
Figure 7.3: Impact of buffer size on the probability Pm for various levels of implied utilization as well as on the throughput of the process in the case of one single server
0
0.1
0.2
0.3
0.4
0.5
1 2 3 4 5 6 7 8 9 10 11
Probabilitythat system isfull, Pm
Increasing levelsof utilization
Size of the buffer space
Percentageof demand rate
Increasing levelsof utilization
Size of the buffer space
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11
Figure 7.4.: Impact of waiting time on customer loss
Average wait time [seconds]
Fraction of customer lost
Inflow
Figure 7.5.: A serial queuing system with three resources
Outflow
Outflow of resource 1 =Inflow of resource 2
Upstream Downstream
Inflow
Figure 7.6.: The concepts of blocking and starving
Outflow
Activity completed
Outflow
Resource is blocked
Inflow
Resource is starvedActivity notyet completed Empty space for a flow unit
Space for a flow unit with a flow unitin the space
Figure 7.7.: Flow rate compared at four configurations of a queuing system
Sequential system, no buffersCycle time=11.5 minutes
Sequential system, one buffer space eachCycle time=10 minutes
(1) (1)
Sequential system, unlimited buffersCycle time=7 minutes; inventory “explodes”
Horizontally pooled systemCycle time=19.5/3 minutes=6.5 minutes
6.5 min/unit 7 min/unit 6 min/unit
6.5 min/unit 7 min/unit 6 min/unit
6.5 min/unit 7 min/unit 6 min/unit
3 resources, 19.5 min/ unit each
Waitingproblem Loss
problem
Pure waitingproblem, all customersare perfectly patient.
All customers enter the process,some leave due totheir impatience
Customers do notenter the process oncebuffer has reached a certain limit
Customers are lostonce all servers arebusy
Same if customers are patient Same if buffer size=0
Same if buffer size is extremely large
Figure 7.8.: Different types of variability problems