Arena simulation model $(.$doe file$)$ of the current system $($as in month $1).$ This model must be submittedvia the drop$-$box in the assessment and feedback folder. The submitted model need to correctlyillustrate the system, run according to the simulation specifications, and be clearly presented. You arerequired to identify your model by including your student number as part of the Name in all Arenamodules in your model, e$.$g$.$ Customers Arrive M$00$xxxxx$.$ Case Study: Italian Coffee HouseYou have recently started a new job as a junior operations manager in the Italian Coffee House, a largeLondon based coffee shop chain. Your line manager has asked you to analyse the drink service processperformance of one of the chains London stores that is expecting increase in customer demand over thenext four months. Your manager has provided you the information below on the store located at busycentral London train station:$1.$ Customers arrive to the store as specified in Table $1$ below.Table $1$: Customer interarrival times $($in minutes$)$Month Customer interarrival time $($Exponential distribution$)1$ Mean $1\mathrm{.}72$ Mean $1\mathrm{.}63$ Mean $1\mathrm{.}54$ Mean $1\mathrm{.}42.$ The service process steps are:i$.$ Barista takes customer order and payment at Service Counter. This follows normaldistribution with mean of $1\mathrm{.}5$ minutes and standard deviation of $0\mathrm{.}2$ minutes. $50\%$ of thecustomers order coffee, $40\%$ order tea and $10\%$ order hot chocolate.ii$.$ Barista walks from the service counter to the drink station in order to prepare the drink. Thisfollows normal distribution with mean of $10$ seconds and standard deviation of $0\mathrm{.}2$ seconds.iii. Barista makes the drink ordered by the customer using either Coffee machine, Tea machineor Hot Chocolate machine. Making coffee follows normal distribution with mean of $2$minutes and standard deviation of $0\mathrm{.}2$ minutes. Making tea follows normal distribution withmean of $35$ seconds and standard deviation of $0\mathrm{.}2$ seconds. Making hot chocolate followsnormal distribution with mean of $1\mathrm{.}7$ minutes and standard deviation of $0\mathrm{.}2$ minutes.iv$.$ Barista walks from the drink station back to service counter with the drink and hands thedrink to the customer. This follows normal distribution with mean of $15$ seconds andstandard deviation of $0\mathrm{.}2$ seconds. Most customers now leave the coffee store. However,$10\%$ of customers are unhappy with the quality of their drink and request the Barista toremake the same drink. In this case, the Barista walks back to the drink station $($this followsnormal distribution with mean of $10$ seconds and standard deviation of $0\mathrm{.}2$ seconds$)$ andremake the same drink using the same drink machines and processing times as specifiedearlier $($joining the queue if the machine is busy$).$ After this the Barista takes the remadedrink to the customer $($this follows normal distribution with mean of $15$ seconds andstandard deviation of $0\mathrm{.}2$ seconds as before$).$ Again, there is $10\%$ chance that the customerrejects the drink and it need to be remade$\mathrm{.}3.$ The store currently has the following resources continuously available: Three Baristas, two ServiceCounters, one Coffee machine, one Tea machine, and one Hot Chocolate machine$\mathrm{.}4.$ Same Barista completes all steps of the service process, i$.$e$.$ takes the order and payment, makesthe drink, and delivers the drink to the customer $($and if required remakes the drink$)\mathrm{.}5.$ When a customer arrives and if both Service Counter and Barista are available the customer will beserved immediately, otherwise the customer waits in a single First$-$In$-$Firsts$-$Out queue$\mathrm{.}6.$ Run the simulation for $1$ week i$.$e$.168$ hours with multiple replication runs. The system starts attime zero minutes with no products present and the machine$($s$)$ idle.