Process Analysis (Exponential Models)
Previously, we looked at how a production process with general inter-arrival and process times can be modelled based on inter-arrival and process time. MS Excel can be used to generate random numbers that are uniformly distributed between 0 and 1. In this section, we discuss how these random numbers can be transformed to follow other distributions and be used in conjunction with the model presented last week to simulate general production processes.
If inter-arrival time is exponentially distributed, the performance of the production process can be analyzed analytically (i.e., computed using formulas rather than via simulation). Here, we present these formulas and verify their validity through simulation.
At the end of this exercise, the student should be able to:
Generate general random numbers by sampling from a uniform distribution
Determine throughput and utilization of M/M/1 queues using formulas.
Determine the average production lead time, waiting time and WIP of M/M/1 queues using formulas.
Determine throughput and utilization of M/G/1 queues using formulas.
Determine the average production lead time, waiting time and WIP of M/G/1 queues using formulas.