Thisbachelorthesisdealswithhealthcare.Whichisacurrentandurgentsubject.ItconcernsspecificallySkaraborg´sHospital,oneoutoffourhospitalgroupswithintheVästragötaland´sRegion.ThishospitalgroupinturnconsistsofthehospitalsinFalköping,inLidköping,inMariestadandinSkövde.Skaraborg´sHospitalisafterarecentreorganizationofanextensivedegree,dividedintofourdifferentmainareas(divisions)withatotalofapproximately4200employees.Thefourmainareas(divisions)are(1)Surgery(K),(2)MedicineandPsychiatry(M),(3)ResearchandEducationalDevelopment(FoUU),and(4)StabincludingHumanRelations(HR)andEconomy.TherearetodaysomespecificdifficultiestoinadequatewaysmonitorandunderstandthedifferentactivitieswithinSkaraborg´sHospital.Suchrelationshipsnaturallycreatesobstaclesforexampletocarryoutorganizationalandoccupationalwork.Onesuchexampleisthelackofopportunitytolinkmainareas(i.e.divisions),sub-­?divisionsandorganizationalunitswiththesurfacesandpremisesthattheseusestoday.Theaimofthebachelorthesisis(fortheseandotherreasons)toconnectthedifferentorganizationalunits,etc.withinSkaraborg´sHospitaltothesurfacesandpremisesthattheyuse,andtothusmakeitpossibletodescribethemainareas(divisions),sub-­?divisionsandorganizationalunitswithmoreaccurateandpracticaldenotations,sothattheycanbeunderstoodbybusinessrepresentatives(patients)andemployees.DuetothefactthatSkaraborg´sHospitalisalargeandcomplexorganization,Ihaveenclosedthethesisbyprimarilystudyonlyonemedicalsubdivision,whichisM.3andconsistsofseventeenorganizationalunitsprovidingcarebymeansofmainlythreemedicalspecialties,namelycardiology,skininfectionandrenalmedicin.SubdivisionofM.3waschosenforthisentireactivityislocatedinthesamelocality,whichisinSkövde.Butalsoduetothefactthatthiswasoneofthemorecomplexorganizationalunitscontributedtothischoice.Thebachelorthesiscontainssevenappendices,inwhichthethesisso-­?calledmethodstepsaredetailedfurther,whichalsoincludestheappropriatesub-­?results.Therebyaretheresultscomprisedintheseappendixes.Observe,thatsomeofwhatarepresentedarecontributionsfromotherauthors,i.e.resultsfromaprogressiveresearchprojectwithinSkaraborg?sHospital.Theseappendicesarecalled(1)?Skaraborg´sHospitalashortdescription?,(2)?TheworkwiththefourExceldocuments?,(3)?BuildingswithinSkövdehospitalillustratedwithcurrentbuildingdrawingsfromVästfastigheter,incombinationwithadevelopedschemetoshowsuchbuildings?,(4)?ResultsfromthephysicalinventoriesofthesurfacesandpremiseswithinthesubdivisionM.3?,(5)?Suggestionsformoreaccurateandpracticaldenotationsonareas(divisions),sub-­?divisionandorganisationalunits?,(6)?ExampleofasurveyproposedtobesenttounitmanagerswithinthesubdivisionM.3toensuretheresultsofthephysicalinventory?and(7)?Commentsonsomeresultsobtainedfromasemi-­?structuredinterviewwithoneofthemanagers(i.e.adoctorresponsibleforsomeoftheactivitieswhithinResearchandEducationalDevelopmentFoUU).ThethesisisbasedonanumberofExcel-­?documentsobtainedfromSkaraborg´sHospitalanddrawingsofthepremisesobtainedfromVästfastigheter.ItisalsobasedonavarietyoffieldtripswhereIhavebeenabletovisitandtherebycarryoutthephysicalinventoriesofthesurfacesandpremisesoftheselectedorganizationalunitsandinterviewsofanumberofkeyemployees.Thetheoreticalframeworkforthisthesisispartlybasedonorganizationandorganizationalmanagement,organizationalcultureandworkofchangewithinanorganizationandtheworkingenvironmentandsafetyresponsibilities.Thethesisisalsobasedontheoriesandstudiesthathavebeendoneonhealthcareorganizationsandhealthcaremanagement.ThethesisworkhashelpedtoidentifyallsurfacesandpremisesthatorganizationalunitswithinthesubdivisionM.3exploits,andtoprovidesuggestionsformoreaccurateandfunctionaldenotationsfortheseorganizationalunits.ThisthesisalsoprovidesabetterfoundationforvariousongoingandfutureinitiativestoimproveefficienciesaswellasworkandworkconditionswithinSkaraborg´sHospital.Anexampleoftheresultstherebygained,isthatthemethodusedtoidentifyboththesurfacesandpremisessubdivisionM.3uses,whichcanbeusedforalloftheothersubdivisionsandorganizationalunitsthanthosethathavebeenstudiedinthisthesisframes..

The aim of this study was to develop a load prognosis model for Uppsala district heating system to be used as a tool for heat production optimization. The methodwas to build three models for the different customer types; housing, industry andoffices and then scale them for the total system using data from Uppsala districtheating system. The heat load consists of two parts, one that is temperaturedependent and one that is dependent of the social behavior of the customers. Thetemperature part was modelled with an ARX model using an outdoor temperatureprognosis as input signal. The social behavior part was modelled using the mean ofthe social behavior from some days before and additionally by distinguishing betweenweekdays and weekends.

Denna studie har till syfte att undersöka hur lastfördelningen och följaktligen dimen­sionerande tvärkrafter och moment i brobaneplattor av betong skiljer sig åt beroende på val av beräkningsmetod. Jämförelsen sker primärt för tre utvalda hand­beräknings­metoder som jämförts med beräkningar gjorda i ett beräknings­program baserat på finita element­metoder (FEM). I jämförelsen undersöks hur laster sprids i brobaneplattan enligt de olika beräknings­metoderna och vilka resulterande maximala snittkrafter som erhålls. Hur lastfördelningen sker är en komplex fråga och det är därför intressant att se vilka skillnader det blir i resultat utifrån olika beräknings­metoder.Studien skedde på ett utvalt studieobjekt, en åtta meter bred samverkansbro i Njurunda strax söder om Sundsvall. De trafiklaster som beaktats är Lastmodell 1 och Lastmodell 2 enligt Eurokod (CEN, 2003).De beräknings­metoder som jämförts i den här studien är dels en metod för beräkning av tvärgående konsol­moment där kantbalken bidrar mycket till den lastspridande effekten.