A large box store has six self$-$checkout servers. Customers join a single line andthe person $in$ front $of$ the line joins the first available server. Observationally, $it$ has beennoted that this line $is$ frequently very, very long and $it$ may discourage some customers fromusing the self$-$checkout. The general manager often shops $at$ another store that also hasself$-$checkout, but each checkout has its own line. She has observed that the lines $at$ thatplace never seem $tobe$ excessively long and would like $to$ study $if$ replacing the single linewith six multiple lines would improve customer experiences. She has, $of$ course, turned toyou $to$ better understand this issue. There $is$ ample floor space $to$ implement eitherapproach, $so$ this $is$ not a consideration. The focus $of$ your analysis should $beon$ measuresthat customers might consider important.You have already collected some data $on$ both customer arrivals $to$ self$-$service stationsand the customer service time.$a.$ Use the available data $to$ formulate $an$ appropriate model for each option.$b.$ Implement the models $to$ evaluate all customer$-$centric performance measures.Choose $at$ least two metrics that you consider $tobe$ key and explain why they areimportant.$c.$ Report any trade$-$offs between the two options and make a recommendation $to$ thestore manager. Your recommendation should include your estimates $of$ how theselected key performance measures would change $if$ the system were $to$ bereconfigured.