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picture1_Queuing Theory Ppt 75672 | Modeling The Service Process And The Kendall–lee Notation For Queuing Systems


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File: Queuing Theory Ppt 75672 | Modeling The Service Process And The Kendall–lee Notation For Queuing Systems
modeling the service process the kendall lee for queuning systems ieng 314 bonus homework what is queuing theory queuing model queueing theory is the mathematical study of waiting lines or ...

icon picture PPTX Filetype Power Point PPTX | Posted on 02 Sep 2022 | 3 years ago
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       Modeling the Service Process
       The Kendall-Lee for Queuning
       Systems
       IENG 314: Bonus Homework
      What is Queuing Theory?
                                                                Queuing Model
       Queueing theory is the mathematical study of waiting lines, or 
       queues. 
       A queueing model is constructed so that queue lengths and 
       waiting time can be predicted. Queueing theory is generally 
       considered a branch of operations research because the results 
       are often used when making business decisions about the 
       resources needed to provide a service.
                   Queue Discipline
                    
                   The queue discipline describes the 
                   method used to determine the order in 
                   which customers are served. 
                      •    FCFS
                      •    LCFS 
                      •    SIRO 
     Erlang Distribution
     An Erlang distribution is a continuous random 
                                       1
     variable (T) whose density function f(t) is specified by 
     two parameters: a rate parameter R and a shape 
     parameter k .
                     Modeling the Service Process
                      
                      
                     We assume that the service times of different customers are independent random 
                      
                     variables and that each customer’s service time is governed by a random variable 
                     S having a density function s(t) and   be the mean service time for a customer. 
                     Then:
                      
                                               
                      
                     For example, =10  means that if customers were always present, the server could 
                     serve an average of 10 customers per hour, and the average service time of each 
                     customer would be   hour.
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