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slideshare scribd company logo decision analysis effective decisionmaking requires understand nature must made values goals objectives are relevant decisionproblem areas uncertainty affect consequences possible modelconsider following fivepart modeladapted from winning decisions russo shoemakeridentifyproblemformulateandimplementmodelanalyzemodeltestresultsimplementsolutionunsatisfactory resultsmostimportant anchoring framing errors judgment arise due whatpsychologists term seeming trivial factor serves starting pointanchor estimations makers adjust estimates but remain tooclose anchor groups asked estimate value median first series was order course meaningless answer affects how maker perceives thealternatives often involves awinloss perspective way problem framed influences thechoices example you have been given choose between followingalternativesa receive additional certainty orb flip coin heads tails sure win choice most people prefer now suppose betweena give back immediately alternative loss many whopreviously preferred opt because itholds chance avoiding however clear both cases guarantees atotal payoff whereas offers totalpayoff total rational should focus hisherchoices consistently select same regardless theproblem examplecareful major steel showed itcould save hundreds thousands dollars per year byreplacing its hotmetal mixing technology required thatmetal heated twice directpouring inwhich metal only once move wasapproved after considerable delay seniorengineers complained did not include costof hot mixers had purchased millionjust few years previouslyhow would critique decisionadapted shoemaker trees tables our solutions require madeaccording two more conditions combinations ofconditions represent such sequence steps describe all appropriate combination levels can also built into toaccount relative probabilities various outcomes tree showing possibleoutcomesoutcome aoutcome bsales sales evena madeoutcomesprojectedsalesresults quantifying uncertaintiesoutcome madeprojectedsalesresults evaluating yourdecision treestart assigning cash valueor score possibleoutcome muchyou think worth toyou outcome cameaboutnext look circlerepresenting uncertaintypoint theprobability outcomeif use percentages thetotal come ateach circle usefractions these add upto data pastevents may able tomake rigorous ofthe otherwisewrite down best guess calculating worked out outcomesand assessed probability ofuncertainty time start valuesthat will help make right hand side andwork towards left complete set ofcalculations node square uncertaintycircle need record result youcan ignore calculations lead resultfrom then ofuncertain nodescalculating uncertainoutcomes circles thediagram multiply probabilitythe treeis theexample figure fornew product thoroughdevelopment probabilitygood probabilitymoderate probabilitypoor valueof nodeswhen write thecost option along line thensubtract cost youhave already calculatedthis represents benefitof note amounts spent donot count sunk costs anddespite emotional counterarguments befactored decisionwhen calculated benefitschoose has largest benefit andtake madethis nodefigure shows calculation nodes inour examplein previously calculatedfor new thorough development future thisapproach gives net rapiddevelopment branch wetherefore valuable newproduct allocate thisvalue resultby applying technique wecan see isto develop isworth much takeour get productright than rush productto markethowever decide toconsolidate better just toimprove existing productsthan botch using ortable capture complex businesslogicconsider excerpt actual businessdocumentif customer account billed fixed rate method minimummonthly charge consumption less kwhotherwise apply schedule structure isbilled variable toconsumption below kwh accordingto articulating business rules becomerather confusing capturing text form alone ambiguityand misinterpretation wise indecision tress examples slides illustrate thistechnique examplefixedratebillingvariableratebilling kwhminimum chargeschedule aschedule onfirst kwhschedule onkwh abovefixedratebillingvariableratebilling table version rulesfixed acct fvariable fconsumption tminimum xschedule actionsis avalidbusinesscase didwe misssomething rulesaccount type variableconsumption minimum actions activityconsider description companys matching retirementcontribution planacme widgets wants encourage employees retirementto promote goal acme match contribution theapproved retirement plan provided employee keeps themoney least companylimits contributions depending salary andtime service follows five six seven percent she thecompany ten respectively employeehas willmatch four next three percentof any excess tenyear plus workers longterm fifteen ormore team activity contd one tasks according instructors directionsa create captures thispolicyb thispolicy uncover questions ambiguities missingrules easy spot analyzeusing narrative policy developing decisiontable decisiontablesin general electric sutherlandcorporation united states air forceworked file maintenance projectusing flowcharts traditional narratives theyspent laboryears effort failed definethe problemit until analysts usingdecision successfully defined problemin weeks taken history located athttpwwwcatalystcomproductslogicgemoverviewhtml list determine action take calculate number multiple condition other thus fill define rule analyze column areappropriate reduce eliminating redundant columns cond tcond condn taction xaction actionm xactionsconditionsall combinationsactions combinationeach different state affairs charging charter flight costumers forcertain inflight services halffull seat serve free cocktails unless adomestic domesticflights ones where cocktailscocktails served flights thanhalffull structured system specification tom marcoyourdon inc york thatdetermine takeconditions valuesthe yes ncost nis domestic space combinationsconditions ofcombinationspossible yynyynnn yyynyyynynnyyynnynynnnnn aretwovalued hence haveall tablepossible rulesconditonsmore ymore perseatn ydomestic yactions whichactions combinationpossible yactionsserve xfree eliminatingredundant columnspossible combinationsconditonsmore halffulln seatn xnote somecolumns identicalexcept conditionwhich means thatactions areindependent fromthe thatparticular oneconditionwhich conditionhence tablecan simplified xfirst combinethe yellow onesnullifying combine yellowones nullifying conditionthen red onesnotice redcolumns identical byone oneconditionso them themthen violetcolored xnotice even observe thatthe green exceptfor combinethema nullified thesame valued onewhat about weover looked something final solutionrulesconditonsmore exercisea trying maintain meaningful customers objective send catalogs buy merchandisethe realizes certain loyal every catalog andsome mailing never toidentify deciding who onlyselected difficult beenmade marketing department analyst todevelop described eachcondition alternatives ordered fall christmas specialty catalogthe determined onthe slide exercisecustomers andspecial catalogsbut special whoordered christmascatalog thefall customerswho catalogwill specialcatalogs thechristmas based above decisionlogic solution exerciseconditions norder nmail xmail xthe gray canbe combined singlerule eachthere placedfrom catalogin addition andrules combinedeach pair produces sameaction shares twocommon exercisefinal versionconditions ymail wishes construct treat clients threecharacteristicsgender city dweller age group under bbetween over products testmarketproduct appeal female dwellersproduct young femalesproduct male middle aged shoppers whodo live citiesproduct older femalesanother process used identify valuesthere gender put rows upper sidegenders mcity dwellers nage compute max rulesdetermine unique thesealternative label increasing numbers corresponding tothe corresponds actionsmarket lower rulefor scenariothat therefore tablesintersection correspond market wmarket cmarketwx xmarketx xmarkety xmarketz verify correct simplify tabledetermine there impossible situationsif remove those situations thisexampledetermine sodetermine except andfor present therules scenario theage possiblevalues agegroup dont care collapsed columnand hyphen location signify carewhat cmarketw survey methodology questionnaire design theory part trans shipment ppt bec doms health economics methods priority setting proportions multi criteria making excel solver logistic regression building blockpptx catastrohpic outofpocket payment impact househol sample size quantitive qualitative studies linear programing situation concepts seminar economic copy spss reliability programming graphical distribution estimation risk nonlinear testing hypothesis clinical pharmacy resolution introduction lecture pharmacoeconomics school univ washington epidemiolgybio statistics econo big harsh sood dar training types pros cons notes numerical simplex quality life experiences systems 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