Case Study: USE OF GAME THEORY TO MAXIMIZE PROFITSPresh Talwalkar (2015) Southwest Airlines boarding and game theoryUse this article and at least three (3) others to answer the following questions inC 1

****** ********************* ************************************************** ************** ********** *** year the ********* ******** *** **** using the **** seat policy; **** ** ***** *** ********** who ***** *** ***** ***** **** *** priority of ******** the **** ******** **** ********** 2015) The main reason for *** ******** ** **** ****** ** ** reduce *** **** ******** ** ****** the ********* ***** ** seating ******* **** the **** ***** it *** adopted ** *********** procedure ** *** *** passengers boarded *** ***** ******* *** **** **** **** ******* **** ***** ***** Several ************ **** been to make the system **** ********* ********* *** ********* ****** ** *** **** earliest **** given ******** ** ***** the ***** ***** *** **** their favorable ***** ******* ** ***** to ******* out at *** ******** which ****** ******* ********* and misunderstanding ***** *** passengers *** ******* ********** ***** In 2007 *** company ******* * **** ******** system where **** ******** *** assigned * ****** ****** A B ** * which *** ********* ******** ******* The ********* adopted was **** ********** within each ****** a ******** *** *** *** ****** ****** *** ******* to ***** the ***** *** first *** ******* *** ********* were ******* ** ****** ***** once **** were ** *** ***** ********** ** ***** * **** ***** followed ** * *** C ************ *** convenience ** *** system ** that ***** *** ***** *** *** ********** ****** *** & **** ***** The ******* ******** ** the ********* *** ********** by the time ** ***** *** ********** ******* ** *** * flight this ****** benefited *********** *** **** ****** ** check ** for *** flights *** ***** ****** *********** who ****** * *** of **** ** the ******* ********* Prisoner’s ********** ******* also ******* a more ********* ****** ***** ******** at ********** its ******* ** well ** ******** *** ******* ** the ******* offices **** *** introduction ** *** ****** ******** the ******* announced *** ********** ************ Dilemma which ******* ********* who were ******* ** *** *** ***** The ****** did *** ********* the customer * **** ** their choice *** they were ***** first ******** ********* ****** ******* * **** ****** *** *** firm ** maximize on profits this ** ***** *** two ********** *** *** ****** ** EarlyBirds *** ********* *** favorable ***** ** *** ************** where if none ** the ********** **** *** the EarlyBird ****** **** **** ** **** ****** better ****** ** the ******* ******* ********** ***** ** *** of *** ********** **** for *** $10 **** he ** she **** *** *** better **** and at the same **** *** company will **** ***** ******* ** **** pay for the *** then **** **** *** better seats *** the **** will ******** **** ********** ******* **** ** *********** ** the **** ****** ** ******** **** revenue ***** *** developed based ** *** ***** *********** *** conflict with *** *********** ********* ***** the passengers The ******** ** *** ******** were ** ****** **** ******* ******* *** the ***** board **** *** *** ** securing themselves seats ** ***** choice ***** ** the ****** ** Zero-Sum **** ***** both participant’s **** *** ****** *** balanced (Talwalkar ***** ** *** ***** ******** of the *********** *** added up *** *** ***** ****** *** ********** *** final value ** **** *** numbers ******** to *** ********* *** ***** on the **** ** ***** *** passengers checked ** *** * ****** **** ****** benefited individuals who **** ****** ** ***** ** for the ******* *** ***** ****** individuals who wasted a *** ** **** ** the ******** was ************* primary **** in *********** the ********** ************ EarlyBird ******** *** ***** ** ******** *********** ***** *** ********* *** *** better **** which ******* **** *** ******* **** profit ** **** ****** will ** ******* ** *** the *** ** *** * ****** **** *** ***** **** ***** The ******** *** ***** ** *** Game-Theory ***** ***** *********** *** were ******* ** *** *** *** were entitled ** ****** seats *** those *** were *** ******* were ****** ** * ***** situation ***** motivated **** ** *** *** *** Therefore the ******* *** ** ******** *** ****** *** ** *** on *** ******** cost ******** ******** *********** *** **** ** ******** *** ******* ***** ******* ** ****** maximizationExplain *** ********* ******** used the **** ****** ******** to increase *** profitsThe ********* ** *** ******* **** ******** to *** $10 for a ******* flight ** ****** a priority seat ** **** **** ******* ** ***** ***** The ****** was **** ** ****** * **** to *** ***** ** *** travelers ** they **** ******** whether **** ****** pay *** *** ** *** on *** ***** side **** **** ********* with ***** ********* *** ***** **** ***** *** **** ** *** *** *** *** *** existing competitions resulted ** high ********* **** ** the ********** ******** *** **** ********* ********** into **** ******* *** *** ******* *** ******** ** *** ******* **** ********** ** have grown by *** **** *** ******** ** the ********** ** *** ******* of *** **** ********* early-bird check-in?The ******* ** *** game *** ********* ******* ** *** **** **** an ***** *** *********** as traffic ** *** ******* offices ** the ******** were *** off ** many ********* **** able to *** ***** ******* ****** *** ***** **** ***** *** ******** ******* *** ********* *** the ********** **** ******* *** ****** ** clients who **** ******* at the **** board reducedIdentify **** *** passengers’ ******** strategy isThe ******** ******** ** the plan ******* ******* **** *** ********* **** **** *** ****** **** seats ** *** ******* ********* one ****** **** *** *** ** or *** gets * **** **** but ** both of **** *** **** **** be competeing *** the **** seat *** *** ******* seat     EarlyBird ***** in(EB) ******** seatGood ******** ******* seatBad seatGood seatOkay ******* ********************** *** ******** ******** is ** pay *** $10 ** ** ** *** a **** ************* *** ********* face *** ************ ******* **** *** ********** ******** ********** ********** experienced *** Prisoner’s dilemma ** they **** ************ * ******** ** ****** ** *** *** *** or ******** paying The *** choices had ************ ***** ******* **** ** enjoy ** ****** *********** ** *** *** *********** *** **** ******* ** **** **** ******* ** select * **** ** their ****** **** boarding the plane ** the other **** failure ** *** *** extra *** ******* ***** **** ** ***** ********** ****** et ** ***** The check-in process *** ********* and **** ******************* and ************* ** the ********** ******** process *** Southwest AirlinesAdvantagesThe ****** ** cheap ** *** company ** ***** ** ****** ******** ** check in ********* It also ******* ******* ** *** ******* ** * ********* *** *** ***** ******* ****** It ** also * significant source ** extra ******* ***** ********** **** huge ******* ****** ** al 2018) ** ******* ** *** ******** between *** ********* *** ******* ******* *** ******* ********** who arrived ***** *** ****** ******* ******** *** *** ** numbers which ***** *** ******* more efficientDisadvantagesIn *** ***** **** ***** *** **** persons who *** purchasing ticket **** the ***** *** *** ******** will be ***** ***** * ***** ** *** ** **** ** * ** ******** in ********* where the customer is not able ** ****** ** time yet he *** been ******* ** his ** *** ****** **** be ****** ********** **** ** ***** ***** ********* *** ******* *** ******************** ******* *** **** ****** are used ************ ** the ******** ********** ** ****** ******* ****** In * ********* ***** ***** are two competing ********* **** ** ********* and ******* ** Coca-Cola decides ** *** down its ****** it **** ***** PepsiCo ** ************ dilemma ** whether to ****** suit ** ******** its ****** ******* **** finally *** down its ****** *** the aggregate demand *** **** for the two ********* **** increase *** **** colossal ****** ********* On *** other hand ** PepsiCo maintenance *** ******* prices Coca-Cola **** enjoy *********** market ***** ** ********** *** profits ********* **** Theory and ********* Dilemma *** **** ** *** ************ to **** **************************** ****** ********* Airlines boarding *** **** ****************** * ******** * ******** * & *** * * (2018) *********************** ********** under market **** *** uncertain ****** ** ****** ***** ***** evolutionary **** ********************* * ***** Zhang * ****** ******* ********* *** finance InThe Routledge ********* ** *** ********* Management(pp 171-188) ********* London *** *** ****** * ***** Shen * ****** ************** ******** ** *********** ********* ********** ** ****** ad *************** ************ on ****** ************** *********


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