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“ QUEUING THEORY” Presented By--   Anil Kumar Avtar Singh
Queuing Theory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Applications of Queuing Theory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Queuing System ,[object Object],[object Object],[object Object],input Server Queue output
Characteristics of Queuing Systems ,[object Object],[object Object],[object Object]
Queuing examples System  Customers  Server Reception desk  People  Receptionist Hospital  Patients  Nurses Airport  Airplanes  Runway Road network  Cars  Traffic light Grocery  Shoppers  Checkout station Computer  Jobs  CPU, disk, CD
Components of a Queuing System Arrival Process Servers Queue or  Waiting Line Service Process Exit
Parts of a Waiting Line Population of dirty cars ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Dave’s  Car Wash enter exit Arrivals from the general population … Queue (waiting line) Service facility Exit the system Exit the system Arrivals to the system In the system
1.  Arrival Process ,[object Object],[object Object],[object Object],2.  Queue Structure ,[object Object],[object Object],[object Object],[object Object]
3.  Service system ,[object Object],e.g-  Your family dentist’s office, Library counter Queue Arrivals Service   facility Departures after service
2. Multiple, parallel server, single queue model e.g-  Booking at a service station Queue Service facility Channel 1 Service facility Channel 2 Service facility Channel 3 Arrivals Departures after service
3. Multiple, parallel facilities with multiple queues Model Service station Customers leave Queues Arrivals e.g.-  Different cash counters in electricity office
4. Service facilities in a series Arrivals Queues Service station 1 Service station 2 Queues Customers leave Phase  1 Phase 2 e.g.-  Cutting, turning, knurling, drilling, grinding, packaging operation of steel
Queuing Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Assumptions ,[object Object],[object Object]
2.Probabilistic queuing model  Probability that n customers will arrive in the system in time interval T is
Single Channel Model  = Mean number of arrivals per time period µ = Mean number of units served per time period L s = Average number of units (customers) in the system (waiting and being served) = W s = Average time a unit spends in the system (waiting time plus service time) =  µ –   1 µ –  
L q = Average number of units waiting in the queue = W q = Average  time a unit spends waiting in the queue = p = Utilization factor for the system =  2 µ(µ –   )  µ(µ –   )  µ
P 0 = Probability of  0  units in the system (that is, the service unit is idle) = 1 – P n > k = Probability of more than k units in the system, where n is the number of units in the system =  µ  µ k  + 1
Single Channel Model Example  = 2  cars arriving/hour µ = 3  cars serviced/hour L s =  =  =  2  cars in the system on average W s =  =  =  1  hour average waiting time in the system L q =   =  =  1.33  cars waiting in line  2 µ(µ –   )  µ –   1 µ –   2 3 - 2 1 3 - 2 2 2 3(3 - 2)
Cont…    = 2  cars arriving/hour,   µ = 3  cars serviced/hour W q =  =  =  40  minute average waiting time p =   /µ  =  2/3  =  66.6%  of time mechanic is busy  µ(µ –   ) 2 3(3 - 2)  µ P 0 =  1 -  =  .33  probability there are  0  cars in the system
Suggestions for Managing Queues ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Where the Time Goes In a life time, the average  person will spend  : SIX MONTHS  Waiting  at  stoplights EIGHT  MONTHS  Opening  junk  mail ONE YEAR  Looking for misplaced  0bjects TWO YEARS  Reading E-mail FOUR YEARS  Doing  housework FIVE YEARS  Waiting  in line SIX YEARS  Eating
ANY QUESTIONS   PLEASE ??

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QUEUING THEORY

  • 1. “ QUEUING THEORY” Presented By-- Anil Kumar Avtar Singh
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Queuing examples System Customers Server Reception desk People Receptionist Hospital Patients Nurses Airport Airplanes Runway Road network Cars Traffic light Grocery Shoppers Checkout station Computer Jobs CPU, disk, CD
  • 7. Components of a Queuing System Arrival Process Servers Queue or Waiting Line Service Process Exit
  • 8.
  • 9.
  • 10.
  • 11. 2. Multiple, parallel server, single queue model e.g- Booking at a service station Queue Service facility Channel 1 Service facility Channel 2 Service facility Channel 3 Arrivals Departures after service
  • 12. 3. Multiple, parallel facilities with multiple queues Model Service station Customers leave Queues Arrivals e.g.- Different cash counters in electricity office
  • 13. 4. Service facilities in a series Arrivals Queues Service station 1 Service station 2 Queues Customers leave Phase 1 Phase 2 e.g.- Cutting, turning, knurling, drilling, grinding, packaging operation of steel
  • 14.
  • 15.
  • 16. 2.Probabilistic queuing model Probability that n customers will arrive in the system in time interval T is
  • 17. Single Channel Model  = Mean number of arrivals per time period µ = Mean number of units served per time period L s = Average number of units (customers) in the system (waiting and being served) = W s = Average time a unit spends in the system (waiting time plus service time) =  µ –  1 µ – 
  • 18. L q = Average number of units waiting in the queue = W q = Average time a unit spends waiting in the queue = p = Utilization factor for the system =  2 µ(µ –  )  µ(µ –  )  µ
  • 19. P 0 = Probability of 0 units in the system (that is, the service unit is idle) = 1 – P n > k = Probability of more than k units in the system, where n is the number of units in the system =  µ  µ k + 1
  • 20. Single Channel Model Example  = 2 cars arriving/hour µ = 3 cars serviced/hour L s = = = 2 cars in the system on average W s = = = 1 hour average waiting time in the system L q = = = 1.33 cars waiting in line  2 µ(µ –  )  µ –  1 µ –  2 3 - 2 1 3 - 2 2 2 3(3 - 2)
  • 21. Cont…  = 2 cars arriving/hour, µ = 3 cars serviced/hour W q = = = 40 minute average waiting time p =  /µ = 2/3 = 66.6% of time mechanic is busy  µ(µ –  ) 2 3(3 - 2)  µ P 0 = 1 - = .33 probability there are 0 cars in the system
  • 22.
  • 23.
  • 24. Where the Time Goes In a life time, the average person will spend : SIX MONTHS Waiting at stoplights EIGHT MONTHS Opening junk mail ONE YEAR Looking for misplaced 0bjects TWO YEARS Reading E-mail FOUR YEARS Doing housework FIVE YEARS Waiting in line SIX YEARS Eating
  • 25. ANY QUESTIONS PLEASE ??