Using add on process, solve the assignment thru simio please.

Simio Add$-$On Processes $($Subway Model Revisited$)$In this lab we will revisit the Simio model of the Subway$$ restaurant that was developed in Lab $2$ and useSimio Add$-$On Processes to extend our original model to include customer balking. We will also discuss analternative method using add$-$on processes to implement type$-$dependent processing times. The systemoperates similar to a serial production line with five stages as shown in the figure below $($the highlightedstations involve a human worker$).$EnterBread& MeatStation$($Min$,$ Mode, Max$)1.$Customers enter and go to the first stage where they select the size and type of bread, meat, and cheese.The second stage is the oven where sandwiches get toasted $($if ordered by the customer$).$ The customer$($and partially made sandwich$)$ then go to the next stage to add veggies and condiments. Once thesandwich is made, the customer pays at the cash register, the cashier wraps the sandwich and putsit ina bag. Finally, customers go to the drink machine to get their drink and then they leave the system. Eachstage has one server and we will assume infinite queues between stages.During lunch rush, customers arrive according to a Poisson distribution with a rate of $32/$hr$.$ However,customers will balk if there are $6$ people in the system $($all stages$).$ Processing times are all triangularlydistributed with the following parameters $($minutes$)$:The videos will guide you through:OvenBread & Meat$(1,1\mathrm{.}5,2)$VeggiesUnderstanding how Simio processes workSimulation Video Lab SeriesAssignmentsBased on the data collected from the restaurant, $70\%$ of the customers want their sandwich toasted whilethe remaining $30\%$ get cold subs. The current operating policy requires that FIFO $($First In First Out$)$ mustbe maintained throughout the system. Therefore, cold sandwiches should also wait in the queue for theoven $($if there is one$).$ In other words, the current policy does not allow a customer that wants a coldsandwich to pass a customer that is waiting for his$/$her sandwich to be toasted$\mathrm{.}2.$ Implementing the balking logic using add$-$on processesOvenThe manager of this restaurant has hired you to estimate the utilization of the servers, expected numberof customers in the system, the time that customers spend in the system on average, percentage ofcustomers that balk, and the average TIS per customer type$\mathrm{.}4.$ Using State Assignments to change object states$5.$ Defining "Responses" for the performance metricsGrindCashier$3.$ Implementing type$-$dependent processing times on the oven using add$-$on processes$0\mathrm{.}35$Machine $07$Veggies$(0\mathrm{.}5,1,1\mathrm{.}5)(1,1\mathrm{.}5,2)(0\mathrm{.}5,1,1\mathrm{.}5)(0\mathrm{.}5,1,1\mathrm{.}5)|$PackageSubmission Requirements$1.$ Modify your simulation model of the current policy so that a new customer will balk with aprobability of $0\mathrm{.}6$ if there are $4$ or more customers in the first three stations. Explain how youimplement this balking logic and provide snapshots of your add$-$on process and its steps. Evaluatethe performance of the system with respect to the utilization of the servers, expected number ofcustomers in the system, the time that customers spend in the system on average, percentage ofcustomers that balk, and the average time in system per customer type$\mathrm{.}2.$ Consider the following manufacturing system that processes two different part types $($A and B$).$The arrival rates are $12$ parts$/$hr for A and $20$ parts$/$hr for B $($both arrival processes are Poisson$).$Server processing times are triangularly distributed with parameters shown in the table below.CashierThe deliverables for the lab include the following:DrinkMeanMinMaxDrinkExit$2.$ All related Simio models developed as part of the assignments$\mathrm{.}2\mathrm{.}53\mathrm{.}5$Processing Times $($Minutes$)$Machine Grind Package$1\mathrm{.}53$Parts that are processed more than once on the Grind machine will have a higher priority at thePackage station. On the other hand, parts that are routed back to the Grind machine more thanthree times are deemed "bad" and will be scrapped. Develop a Simio model of this manufacturingsystem and estimate at steady state the average time in system per part type, average time insystem for all parts, and percentage of scrapped parts. Perform model verification $($usinganimation and also comparison with queueing results$).$ Use State Assignments so that entitieswill change colors as they leave each station, i$.$e$.,$ default green for type A and blue for type B afterbeing created, red once processed on Machine, and black after leaving the Grind station $($partsthat are reworked on the Grind machine must maintain their original color$).$ Justify your runconfigurations $($run length, number of replications, and warm$-$up period$)$ using the SMORE plots$\mathrm{.}1\mathrm{.}50\mathrm{.}52\mathrm{.}51.$ A single word document that includes the "solutions" to the assignment problems, i$.$e$.,$tables$/$figures of simulation results, analysis of simulation outputs$/$recommendations$,$ descriptionof your verification analysis, etc. The report is the primary component of your submission that isgraded and all other files $($such as Excel or S