Reference no: EM132828803 , Length: 8 pages
Title: SIMULATION OF A PETROL STATION
Task Details/Description:
The management of a petrol filling station has noticed a steady increase in the flow of customers into the petrol station over recent months. This has led to an increase in queuing times at the (self-service) petrol pumps and at the payment till. Customers arrive at the petrol station and look to see if a petrol pump is available. If no pumps are available they drive away, otherwise they refill their vehicle with petrol. They then proceed to the payment till and proceed with the payment process. On entering the petrol station, customers queue at the first available pump. Currently there are three petrol pumps and one payment till. The customer arrival rate is an exponential distribution with a mean of three minutes, the pump service time is a triangular distribution with a minimum of four minutes, mean of six minutes, maximum of ten minutes. The payment service time is a triangular distribution with a minimum of one minute, mean of four minutes, maximum of six minutes.
Build a model of the petrol station using the Arena simulation software. Run the simulation for 50 replications. Each replication has a run time of 1 day's operation which is 510 minutes, with no new arrivals for the final 30 minutes of each day.
Determine the change in performance due to an investment in either an additional petrol pump or an additional payment till. Use the performance measures of the number of ‘drive aways' and the average queue time at the payment till to make your comparisons and report the 95% confidence intervals for your measures.
The assignment should incorporate the main steps in a simulation study:
Study Objectives - provide some context to the study, state objectives (e.g. to reduce maximum customer waiting time to 5 minutes) + simplifications/assumptions.
Process Mapping - Present an activity cycle diagram or process map
(Data Collection and Modelling Input Data - these steps are not applicable for the assignment.) no need
Building the Model -short description of the model and screen dump of model display (do not give detail on each ARENA module)
Validation and Verification - how did you (or could you) do V&V.
Experimentation and Analysis - show performance of current model and the scenario(s). Show screen dumps of confidence interval analysis comparing results using the Arena output analyser.
Implementation - explain what your solution entails (e.g. extra staffing). Outline how you could develop the model for further studies.
Provide a short critique of the discrete-event simulation method using 3 or 4 academic references.
Attachment:- coursework.rar