ADM 3301 Lecture Notes - Lecture 12: Poisson Distribution, Markov Chain, Exponential Distribution

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> possible to have models where the service rate is an adjustable number where faster service times can be bought . > the most common distribution for modelling service times is the exponential distribution. Long right tail representing the fact that most clients don"t take too long but occasionally there is a client who takes a really long time! > memoryless (i. e. the expected length of service does not change if you have already received service for x time units) > also represents inter-arrival times if arrivals follow a poisson distribution. > while exponential is often a good representation of service time, it is not always the case (i. e. surgical times more likely to follow a log- normal) > the poisson and exponential distributions are directly related as if the number arrivals follows a poisson distribution, then the time between successive arrivals follows an exponential distribution. This process is referred to as markovian process.

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