SlideShare a Scribd company logo
1 of 11
Model II : single channel, Poisson Arrival with Exponential
service, finite Population model (limited Sources Model)
(M/M/1): (FCFS/n/N)
N= Limited Number of customer in the system
1. Probability that server is idle ( or empty system)
2. Probability that there are n customer in the system
Pn= ρN P0 where n= 0,1………N
Model II : single channel, Poisson Arrival with Exponential
service, finite Population model (limited Sources Model)
(M/M/1): (FCFS/n/N)
3. Average no. of customer (expected ) in the system
4. Average no. of customer in the queue
Lq= Ls- ( λe /μ)
Where ,Traffic intensity depends on mean arrival entry in system (ie. Effective
arrival rate) λe= λ(1-Pn)
Model II : single channel, poisson Arrival with Exponential
service, finite Population model (limited Sources Model)
(M/M/1): (FCFS/n/N)
5. Average waiting time of customer in system
6. Average waiting time of customer in the queue
Model II Formulae (M/M/1): (FCFS/n/N)
Example :
(M/M/1):(N/FCFS)
Example 1: Trains arrive at the yard every 15 minutes and service time is 32
minutes . If the capacity of yard is limited to 4 trains . Find
- Probability that yard is empty
- Average number of trains in the system
Solution:
• N=Capacity of yard= 4 trains
• Arrival rate=
λ = 1/ 15 trains / Minute
= (1/15)*60 trains/hr
= 4 trains/hrs
• Service rate= μ = 1/32 trains/ minute
= (1/32)*60 train/ hrs
= 1.88 trains/hrs
- Probability that yard is empty
ρ = 4/1.88= 2.1
P0= (1-2.1)/ 1-(2.1)4+1
=
( -1.1)/1- 40.84
= -1.1/-39.84
= 0.027 i.e 2.7%
- Average number of trains in the system
- Average number of trains in the system
Example 2: Patient arrive at a clinic according to a poisson distribution at rate of 30
patient per hour . The waiting room does not accommodate more than 14 patients
. Examination time per patient is exponential with mean rate 20 per hour
1. Find effective arrival rate at the clinic
2. What is the expected waiting time until a patient is discharged from
Solution:
N= 14 patients
• Arrival rate= λ = 30 patient /hrs
• Service rate = μ = 20 patient / hrs
• ρ = λ / μ = 30/20= 1.5
1. effective arrival rate at the clinic =
λe= λ (1 –Pn) -----------(i)
Where
Pn = ρN * P0
Put in eq(i)
λe= λ (1 –Pn) = 30 ( 1- 0.33)= 30 x( 0.67)= 20. 1 ie. 20 patients
2. What is the expected waiting time until a patient is discharged from
Put Ls value in (ii)
Ws= Ls/ λe = 12.03/ 20.1 = 0.598 hrs
-------- eq( ii )

More Related Content

Similar to Unit 5 Part II-Queuing Models.pptx _MFCS 2

Queing theory and delay analysis
Queing theory and delay analysisQueing theory and delay analysis
Queing theory and delay analysisPriyanka Negi
 
Management Queuing theory Lec 2
Management Queuing theory Lec 2Management Queuing theory Lec 2
Management Queuing theory Lec 2cairo university
 
QUEUING THEORY
QUEUING THEORYQUEUING THEORY
QUEUING THEORYavtarsingh
 
Queuing model
Queuing model Queuing model
Queuing model goyalrama
 
Flow queue analysis co4.pptx business process management
Flow  queue analysis co4.pptx business process managementFlow  queue analysis co4.pptx business process management
Flow queue analysis co4.pptx business process management21120061
 
Cost minimization model
Cost minimization modelCost minimization model
Cost minimization modelrowell balala
 
Waiting line model(or presentation)
Waiting line model(or presentation)Waiting line model(or presentation)
Waiting line model(or presentation)Muhammad NasRi
 
Queueing theory finallll waiting lines .pptx
Queueing theory finallll waiting lines .pptxQueueing theory finallll waiting lines .pptx
Queueing theory finallll waiting lines .pptxOlaElnaghy1
 
queueing problems in banking
queueing problems in bankingqueueing problems in banking
queueing problems in bankingMani Deep
 
Hybrid hmmdtw based speech recognition with kernel adaptive filtering method
Hybrid hmmdtw based speech recognition with kernel adaptive filtering methodHybrid hmmdtw based speech recognition with kernel adaptive filtering method
Hybrid hmmdtw based speech recognition with kernel adaptive filtering methodijcsa
 
Queuing theory network
Queuing theory networkQueuing theory network
Queuing theory networkAmit Dahal
 

Similar to Unit 5 Part II-Queuing Models.pptx _MFCS 2 (20)

Queue
QueueQueue
Queue
 
Queuing theory
Queuing theoryQueuing theory
Queuing theory
 
Queing theory and delay analysis
Queing theory and delay analysisQueing theory and delay analysis
Queing theory and delay analysis
 
Management Queuing theory Lec 2
Management Queuing theory Lec 2Management Queuing theory Lec 2
Management Queuing theory Lec 2
 
QUEUING THEORY
QUEUING THEORYQUEUING THEORY
QUEUING THEORY
 
Queuing model
Queuing model Queuing model
Queuing model
 
Queueing theory
Queueing theoryQueueing theory
Queueing theory
 
Queuing theory
Queuing theoryQueuing theory
Queuing theory
 
Flow queue analysis co4.pptx business process management
Flow  queue analysis co4.pptx business process managementFlow  queue analysis co4.pptx business process management
Flow queue analysis co4.pptx business process management
 
Cost minimization model
Cost minimization modelCost minimization model
Cost minimization model
 
Waiting line model(or presentation)
Waiting line model(or presentation)Waiting line model(or presentation)
Waiting line model(or presentation)
 
Queuing theory
Queuing theoryQueuing theory
Queuing theory
 
Queueing theory finallll waiting lines .pptx
Queueing theory finallll waiting lines .pptxQueueing theory finallll waiting lines .pptx
Queueing theory finallll waiting lines .pptx
 
14 queuing
14 queuing14 queuing
14 queuing
 
queueing problems in banking
queueing problems in bankingqueueing problems in banking
queueing problems in banking
 
Operation Research
Operation ResearchOperation Research
Operation Research
 
Hybrid hmmdtw based speech recognition with kernel adaptive filtering method
Hybrid hmmdtw based speech recognition with kernel adaptive filtering methodHybrid hmmdtw based speech recognition with kernel adaptive filtering method
Hybrid hmmdtw based speech recognition with kernel adaptive filtering method
 
Tps04
Tps04Tps04
Tps04
 
Queuing theory
Queuing theoryQueuing theory
Queuing theory
 
Queuing theory network
Queuing theory networkQueuing theory network
Queuing theory network
 

Recently uploaded

Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...ronahami
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxkalpana413121
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdfKamal Acharya
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...HenryBriggs2
 
Ground Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth ReinforcementGround Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth ReinforcementDr. Deepak Mudgal
 
School management system project Report.pdf
School management system project Report.pdfSchool management system project Report.pdf
School management system project Report.pdfKamal Acharya
 
Electromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxElectromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxNANDHAKUMARA10
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"mphochane1998
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...Amil baba
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessorAshwiniTodkar4
 
Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Ramkumar k
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxMustafa Ahmed
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...josephjonse
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network DevicesChandrakantDivate1
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelDrAjayKumarYadav4
 
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayStandard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayEpec Engineered Technologies
 
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARHAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARKOUSTAV SARKAR
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsmeharikiros2
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptxJIT KUMAR GUPTA
 

Recently uploaded (20)

Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...Max. shear stress theory-Maximum Shear Stress Theory ​  Maximum Distortional ...
Max. shear stress theory-Maximum Shear Stress Theory ​ Maximum Distortional ...
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdf
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
 
Ground Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth ReinforcementGround Improvement Technique: Earth Reinforcement
Ground Improvement Technique: Earth Reinforcement
 
School management system project Report.pdf
School management system project Report.pdfSchool management system project Report.pdf
School management system project Report.pdf
 
Electromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptxElectromagnetic relays used for power system .pptx
Electromagnetic relays used for power system .pptx
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
 
8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor8086 Microprocessor Architecture: 16-bit microprocessor
8086 Microprocessor Architecture: 16-bit microprocessor
 
Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power PlayStandard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
 
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARHAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
 
Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - NeometrixIntegrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
 
Query optimization and processing for advanced database systems
Query optimization and processing for advanced database systemsQuery optimization and processing for advanced database systems
Query optimization and processing for advanced database systems
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 

Unit 5 Part II-Queuing Models.pptx _MFCS 2

  • 1. Model II : single channel, Poisson Arrival with Exponential service, finite Population model (limited Sources Model) (M/M/1): (FCFS/n/N) N= Limited Number of customer in the system 1. Probability that server is idle ( or empty system) 2. Probability that there are n customer in the system Pn= ρN P0 where n= 0,1………N
  • 2. Model II : single channel, Poisson Arrival with Exponential service, finite Population model (limited Sources Model) (M/M/1): (FCFS/n/N) 3. Average no. of customer (expected ) in the system 4. Average no. of customer in the queue Lq= Ls- ( λe /μ) Where ,Traffic intensity depends on mean arrival entry in system (ie. Effective arrival rate) λe= λ(1-Pn)
  • 3. Model II : single channel, poisson Arrival with Exponential service, finite Population model (limited Sources Model) (M/M/1): (FCFS/n/N) 5. Average waiting time of customer in system 6. Average waiting time of customer in the queue
  • 4. Model II Formulae (M/M/1): (FCFS/n/N)
  • 5. Example : (M/M/1):(N/FCFS) Example 1: Trains arrive at the yard every 15 minutes and service time is 32 minutes . If the capacity of yard is limited to 4 trains . Find - Probability that yard is empty - Average number of trains in the system
  • 6. Solution: • N=Capacity of yard= 4 trains • Arrival rate= λ = 1/ 15 trains / Minute = (1/15)*60 trains/hr = 4 trains/hrs • Service rate= μ = 1/32 trains/ minute = (1/32)*60 train/ hrs = 1.88 trains/hrs
  • 7. - Probability that yard is empty ρ = 4/1.88= 2.1 P0= (1-2.1)/ 1-(2.1)4+1 = ( -1.1)/1- 40.84 = -1.1/-39.84 = 0.027 i.e 2.7% - Average number of trains in the system
  • 8. - Average number of trains in the system
  • 9. Example 2: Patient arrive at a clinic according to a poisson distribution at rate of 30 patient per hour . The waiting room does not accommodate more than 14 patients . Examination time per patient is exponential with mean rate 20 per hour 1. Find effective arrival rate at the clinic 2. What is the expected waiting time until a patient is discharged from Solution: N= 14 patients • Arrival rate= λ = 30 patient /hrs • Service rate = μ = 20 patient / hrs • ρ = λ / μ = 30/20= 1.5
  • 10. 1. effective arrival rate at the clinic = λe= λ (1 –Pn) -----------(i) Where Pn = ρN * P0 Put in eq(i) λe= λ (1 –Pn) = 30 ( 1- 0.33)= 30 x( 0.67)= 20. 1 ie. 20 patients
  • 11. 2. What is the expected waiting time until a patient is discharged from Put Ls value in (ii) Ws= Ls/ λe = 12.03/ 20.1 = 0.598 hrs -------- eq( ii )