Read the $$Italian Coffee House$$ case study below. Use Arena simulation software to build a valid simulation

model for the company and write a $2,500(\backslash$pm $10\%)$ word professional report that provides a comprehensive

analysis of the different scenarios and issues specified in the case study.

Case Study: Italian Coffee House

You have recently started a new job as a junior operations manager in the $$Italian Coffee House$,$ a large

London based coffee shop chain. Your line manager has asked you to analyse the drink service process

performance of one of the chain$$s London stores that is expecting increase in customer demand over the

next four months. Your manager has provided you the information below on the store located at busy

central 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 $1\mathrm{.}7$

$2$ Mean $1\mathrm{.}6$

$3$ Mean $1\mathrm{.}5$

$4$ Mean $1\mathrm{.}4$

$2.$ The service process steps are:

i$.$ Barista takes customer order and payment at Service Counter. This follows normal

distribution with mean of $1\mathrm{.}5$ minutes and standard deviation of $0\mathrm{.}2$ minutes. $50\%$ of the

customers 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. This

follows 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 machine

or 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 with

mean of $35$ seconds and standard deviation of $0\mathrm{.}2$ seconds. Making hot chocolate follows

normal 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 the

drink to the customer. This follows normal distribution with mean of $15$ seconds and

standard 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 to

remake the same drink. In this case, the Barista walks back to the drink station $($this follows

normal distribution with mean of $10$ seconds and standard deviation of $0\mathrm{.}2$ seconds$)$ and

remake the same drink using the same drink machines and processing times as specified

earlier $($joining the queue if the machine is busy$).$ After this the Barista takes the remade

drink to the customer $($this follows normal distribution with mean of $15$ seconds and

standard deviation of $0\mathrm{.}2$ seconds as before$).$ Again, there is $10\%$ chance that the customer

rejects the drink and it need to be remade.

$3.$ The store currently has the following resources continuously available: Three Baristas, two Service

Counters, one Coffee machine, one Tea machine, and one Hot Chocolate machine.

$4.$ Same Barista completes all steps of the service process, i$.$e$.$ takes the order and payment, makes

the drink, and delivers the drink to the customer $($and if required remakes the drink$).$

$5.$ When a customer arrives and if both Service Counter and Barista are available the customer will be

served immediately, otherwise the customer waits in a single First$-$In$-$Firsts$-$Out queue.

$6.$ Run the simulation for $1$ week i$.$e$.168$ hours with multiple replication runs. The system starts at

time zero minutes with no products present and the machine$($s$)$ idle.