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Waiting Line Model Hamizah Binti Hamdan Mohd Adzmien Bin Abdul Nuri
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Waiting line model(or presentation)

Jul 19, 2015

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Muhammad Nasri
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Page 1: Waiting line model(or presentation)

Waiting Line ModelHamizah Binti Hamdan

Mohd Adzmien Bin Abdul Nuri

Page 2: Waiting line model(or presentation)

What is waiting line model

•Waiting line models consist of mathematical formulas and relationships that can be used to determine the operating characteristics (performance measures) for a waiting line

Page 3: Waiting line model(or presentation)

Characteristics of Performance Measure1. The probability that no units are in the system

2. The average number of units in the waiting line

3. The average number of units in the system

4. The average time a unit spends in the waiting line

5. The average time a unit spends in the system

6. The probability that an arriving unit has to wait for service

Page 4: Waiting line model(or presentation)

GSC-Waiting Line Model

Page 5: Waiting line model(or presentation)

Singe-Channel Waiting Model

Page 6: Waiting line model(or presentation)

Data Calculation

• Arrival Rate,λ=0.75

• Service Rate,µ=1(Based on previous case study)

• Assumptions

1. Arrival rate follow Poisson Distribution

2. Service rate follow Exponential Distribution

Page 7: Waiting line model(or presentation)

GSC Single Channel Calculation

Page 8: Waiting line model(or presentation)

2-Channel Waiting Model

Page 9: Waiting line model(or presentation)

Data Calculation

• Arrival Rate,λ=0.75

• Service Rate,µ=1(Based on previous case study)

• No of Channel,k=2

• Assumptions :

1. Arrival rate follow Poisson Distribution

2. Service rate follow Exponential Distribution

3. The service rate, µ is same for each channel

4. The arrivals wait in single waiting line and then move to the first open channel for service

Page 10: Waiting line model(or presentation)

GSC 2-Channel Calculation

Page 11: Waiting line model(or presentation)

Compare Single & 2 Channel

1. The average time a customer spends in the system (waiting time plus

service time) is reduced from W = 4 minutes to W = 1.1636 minutes.

2. The average number of customers in the waiting line is reduced from

Lq=2.25 customers to Lq = 0.1227 customer.

3. The average time a customer spends in the waiting line is reduced

from Wq =3 minutes to Wq = 0.1636 minute.

4. The probability that a customer has to wait for service is reduced from

Pw =0.75 to Pw = 0.2045.

Page 12: Waiting line model(or presentation)

Conclusion

•Suggest analyst to focus on improving service rate

•New Technology

• Increase service channel