Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more.
Course Hero has millions of course specific materials providing students with the best way to expand
their education.
Below is a small sample set of documents:
North Central Texas College - WELDING - 2453
C HAPTER 2ANSWERS1.I ndivisible2.Atom3.Protons, Neutron s, Electrons4.The elements arranged in order of increasing atomic number5Ability to conduct electricity, Ability to conduct heat, Hardness,H igh density, not t ransparent6.Molecule7.W
North Central Texas College - MUSIC - 1306
Student NameSample Sound Journal Written AssignmentTitle of Piece: Second Brandenburg Concerto, First Movement by J. S. Bach1. This composition is a lively concerto movement for violin, oboe, recorder, andtrumpet soloists and a string band (violins, v
North Central Texas College - MUSIC - 1306
The four main orchestral string instruments are (from highest to lowest pitch) the violins (usually dividedinto two sections, playing individual parts), the violas, the cellos and the double basses. Each have fourstrings arranged in order of pitch and m
North Central Texas College - ENLISH - 0301
Be My PalBy Ellen Booth ChurchMany children 5 and 6 year olds are going off to kindergarten worry about makingfriends and getting along with all of the new kids they will meet. When school begins, kids aresometimes anxious about issues, too, like eati
North Central Texas College - ENLISH - 0301
K hanh TranSplish SplashP reparing your preschooler for swimming lessonsSummer awakens that we magic about deep within our bones: to jump into anicy lake, leap over salty waves, or cannonball into the pool. When the heat hits,we are drawn to water li
North Central Texas College - ENLISH - 0300
KHANH TRANMr. GannonENGL 0301May 05, 2011Is fashion important?Fashion is a symbol of beauty. Fashion has very important role in life. It evaluates thequality of our people and statue through fashion. We have different dress depending on age andwork
North Central Texas College - ENLISH - 0301
KHANH TRANMs. BeverSpeech 1315Monday 21, 2011Self EvaluationFor me, self-evaluation is quite difficult because I have never formally evaluated myself. When Ireceived a high score on my paper bag speech, I was very pleased. I did well regarding makin
North Central Texas College - ENLISH - 0301
Khanh TranBeat the HeatWhen the temperature rises, you feel very hot and not comfortable on your body. There arefive ways to cool down when the temperature rises. First, eat wet foods. Drinking plenty ofwater is must, but you can get fluids from other
Aarhus Universitet - ECON - 101
Chapter 2Options, Arbitrage,MartingalesThe aim of this chapter is to appreciate the key connection between arbitragefree markets and the existence of equivalent measures under which the discounted stock price becomes a martingale.2.1The Arbitrage-Mar
Aarhus Universitet - ECON - 101
Chapter 3American Options in DiscreteTimeIn this short chapter well briey discuss the pricing and hedging of Americanoptions and the relationship with the optimal stopping problem. We willcontinue to work in a nite market model and we will assume tha
Aarhus Universitet - ECON - 101
Chapter 5Interest Rate Models5.1Why is There a Bond Market?In our treatment of the Black-Scholes model, we have always dealt with arisky stock and a riskless investment which could be a bond. However bondsare traded in their own right and we should
Rutgers - ENG - 300
Rutgers UniversitySchool of EngineeringDept of Industrial & Systems EngineeringProfessor Susan Albinsalbin@rci.rutgers.eduCore 206 732/445-2238 TF 2Quality Engineering and Statistics 540:433 - Fall 2011September2Introduction to Quality Management
Rutgers - ENG - 300
Confidence Intervals Problem:Automatic filler deposits liquid in acontainer. Find a 95% confidence interval toestimate the current mean contents percontainer. Collect random sample: Xi, i=1n iid Compute sample average: X =n1nXii =1 Compute s
Rutgers - ENG - 300
RegressionDataY-4.238130.36827-0.46647-0.38381-0.23722-1.533951.52628-1.07464-2.15809-0.70236X12345678910Residual:-3.238132.368272.533533.616194.762784.466058.526286.925366.841919.29764Sca t t e r pl ot of Y v sX10.07.
Rutgers - ENG - 300
Is Data Normally Distributed?diam11.59468.91219.68349.65458.08739.30215.82317.5982Histogram is Useless with only 8observations!Hi st ogr a mof di a mNor malMeanStDevN2. 0Fr e que ncy1. 51. 00. 50. 056789dia m10112128.8321
Rutgers - ENG - 300
Product and Process Design andImprovement Designed Experiments for ContinuousImprovement Quality is most effective early in the process Experimentation vs. TestingExperimentation: systematic evaluation ofalternativesvs.Testing: Here is the protot
Rutgers - ENG - 300
2k Factorial Experimentsk Factors2 Levels Eachxi= level of factor i (-1 or +1), i=1.kk2 Treatments: total number ofcombinationsNotationTreatments, Replicates, RunsLabeling for Treatmentsex) k=3 andlabel:x1=+1, x2=-1, and x3=+1ac3example: 2
Rutgers - ENG - 300
Worksheet in Standard OrderCan print out according to run order and with uncoded levels fordata collection.From Montgomery 12-2, 5th editionStdOrder12345678910111213141516RunOrder51431198101214713162156CenterPt111
Rutgers - ENG - 300
WHAT EFFECTS ARE SIGNIFICANTin 2k Factorial Experiments? ModelY = bo + b1x 1 + b2 x 2 + . . .+ b12 x 12 + . . .+2 N ( 0, Y ) Significance of bs rests on estimate of2Y Which bs are significantly different than 0? Two Casesone replicatetwo or mo
Rutgers - ENG - 300
WHAT EFFECTS ARE SIGNIFICANTin 2k Factorial Experiments with onlyone Replicate? ModelY = bo + b1x 1 + b2 x 2 + . . .+ b12 x 12 + . . .+2 N ( 0, Y ) Significance of bs rests on estimate of2Y Which bs are significantly different than 0? How to es
Rutgers - ENG - 300
Validating the Model Given a Model for the performance Measure Examine Regression Model Fitif R2 is large, greater than .75, fit is prettygood Examine Residuals: Yobserved - Ypredictedrandomnormally distributed Perform validation experimentselect
Rutgers - ENG - 300
Fractional Factorial Experimental DesignsThe Problem:5 factors, 2 levels each. You can't afford 32 runs.Fractional Factorial experiment is the solution:design doesnt include all possible combinationsAdvantage: fewer runsDisadvantage: estimate one-wa
Rutgers - ENG - 300
Write the calculation matrix and design matrix for a 24-1 design with 1 replicate where X4 is confoundedwith X123Write theX1 X2X312345678++++++++++++X4+X123++++X12X13X14X23X24X34X123+X4++++X124X234X134X1234Wr
Rutgers - ENG - 300
Variation in ProcessesCommon Causes:many unavoidable relatively small causesof variationSpecial Causes:unusual things that happen that causevariationNames for Special and CommonCausesSPECIAL CAUSESCOMMON CAUSESLocal faultssystem faultssporadi
Rutgers - ENG - 300
Variables Control Charts:Constructing X and R ChartsBACKGROUND MATERIAL:Statistics of the Range R, range is a sample statisticif X1, X2, are iid Normalthen R has following relationship to = R / d2where d2 (given n) comes fromTable A.2 (p. 789 De
Rutgers - ENG - 300
Rational SamplingEach observation in a subgroup has the same lifestoryKeep Sample Sizes Smallnew events don't occur during samplingnot too expensivelarge enough so that X i is normally dist.large enough to detect shiftsSample Frequentlydon't wast
Rutgers - ENG - 300
Attributes Control ChartsVariables Control Charts for continuous measurementsAttribute Control Charts for discrete measurementsP Charts for Fraction DefectiveMonitors fraction defectiveDefective is unusablefraction of broken glass platesfraction of
Rutgers - ENG - 300
Control Charts for IndividualMeasurementsSometimes repeated measures in asubsample don't make senseoven temperatureinventory levelaccounts payableIf variation in subsample only reflectsmeasurement error, use individualmeasurementsProcess Industr
Rutgers - ENG - 300
Some Useful ApproximationsBinomialPoissonIf np<5 and p<.1 or p>.9Approx withPOISSONIf np>5 or .1<p<.9Approx withNORMAL Approximate Binomial withPoissonNormal Approximate Poisson withNormalApprox withNORMALApproximate Binomial with Poisson
Rutgers - ENG - 300
Accept or reject a lot?Three approaches to lot sentencing :1. Accept with no inspection Cp is 3 or 4; vendor isexcellent; has excellent process control2. 100% inspection critical component, technologyavailable3. Acceptance sampling -Goal is decisio
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS INOPERATIONS RESEARCHLecture 1: Introduction, Administration,Examples of mathematical programsClass Meeting: MTH 2 10:20-11:40am (SEC-209)Recitation W6-7pm (SEC-217)Prof. W. Art Chaovalitwongse(Dr. Chao-va-lit-wongs, Dr
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS INOPERATIONS RESEARCHLecture 2: Chapter 2 3.1Class Meeting: Mon Jan 24th 10:20-11:40amRecitation: Basic linear algebra (matrix operations)Prof. W. Art ChaovalitwongseA Linear Programming Problemis an optimization proble
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS INOPERATIONS RESEARCHLecture 3: Chapter 3.1 - 3.3Class Meeting: Thu Jan 27th 10:20-11:40amRecitation: Introduction to Linear ProgrammingProf. W. Art ChaovalitwongseExample: GTC ProblemWant to determine the number of wre
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS INOPERATIONS RESEARCHLecture 4: Chapter 3.5 3.12Class Meeting: Thu Feb 2nd 10:20-11:40amProf. W. Art ChaovalitwongseExample 1ABC, Inc., manufactures wooden soldiers and trains.Each soldier built: Sell for $27 and uses
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture6:Chapter4.14.4TheSimplexAlgorithmClassMeeCng:MonFeb7th10:2011:40amProf.W.ArtChaovalitwongse4.1HowtoConvertanLPtoStandardFormBefore the simplex algorithm can be used to solve an LP, theLP must b
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture6:Chapter4.64.12ClassMeeDng:ThuFeb10th10:2011:40amProf.W.ArtChaovalitwongseSimplexandItsGeometrymax z = 3x1 + 2x2s.t.-x1 + 3x2 12x1 + x2 82x1 - x2 10x1, x2 0max z = + 3x1+ 2x2s.t.-x1 + 3x2
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture7:Chapter4.13ClassMeeBng:ThuFeb10th10:2011:40amProf.W.ArtChaovalitwongse4.13TheTwoPhaseSimplexMethod WhenabasicfeasiblesoluGonisnotreadilyavailable,thetwophasesimplexmethodmaybeusedasanalternaGve
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS IN OPERATIONS RESEARCH Lecture 8: Chapters 34 Class MeeBng: Thu Feb 24th 10:2011:40am Prof. W. Art Chaovalitwongse Key to Success From the problem statement, IDENTIFY Decision variabl
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS IN OPERATIONS RESEARCH Lecture 09: Chapter 5 Class MeeAng: Mon Mar 7th 10:2011:40am Prof. W. Art Chaovalitwongse 5.1 A Graphical Approach to SensiDvity Analysis max z = 3X + 10Y Y = -
Rutgers - ENG - 300
540:311 DETERMINISTIC MODELS IN OPERATIONS RESEARCH Lecture 10: Chapter 5 Class Mee@ng: Thu Mar 24th 10:2011:40am Prof. W. Art Chaovalitwongse 5.4 What happens to the Op@mal zValue if the Current Basis Is No
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture11:Chapter5ClassMee@ng:MonMar27th10:2011:40amProf.W.ArtChaovalitwongseRecallfromChapter5>6.1If we change the value of b1, then as long as the point where thefinishing and carpentry constraints in
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture12:Midterm2ReviewClassMeeDng:ThuApr7th10:2011:40amProf.W.ArtChaovalitwongseTopicsBigMTwoPhaseGraphicalSensiEvityAnalysisComputerSensiEvityAnalysisMatrixNotaEonMatrixSensiEvityAnalysis100%Rul
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture13:Chapter6.56.10ClassMeeCng:ThuApril14th10:2011:40amProf.W.ArtChaovalitwongse6.5FindingtheDualofanLPAssociated with any LP is another LP called the dual.Knowledge of the dual provides interestin
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture14:Chapter8.18.3ClassMeeCng:MonApril18th10:2011:40amProf.W.ArtChaovalitwongseDescripConManyimportantop@miza@onproblemscanbeanalyzedbymeansofgraphicalornetworkrepresenta@on.Thefollowingnetworkmo
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture15:Chapter9.19.4ClassMeeCng:ThuApril21st10:2011:40amProf.W.ArtChaovalitwongseIntegerProgrammingDeniBon AnIntegerProgrammingproblem(IP)isaLinearProgramming(LP)inwhichsomeorallthevariablesarerequi
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture16:Chapter9.19.4ClassMeeDng:MonApril25th10:2011:40amProf.W.ArtChaovalitwongseBranchandBoundTheessenDalidea:searchtheenumeraDontree,butateachnode1. Solvethelinearprogramatthenode2. Eliminatethes
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture17:FinalReview1Prof.W.ArtChaovalitwongseTopics Ch.4:SimplexMethod Ch.5:Sensi@vityAnalysis GraphicalSensi@vityAnalysis LINDOSensi@vityAnalysis(including100%rule) Ch.6:MatrixNota@on SimplexM
Rutgers - ENG - 300
540:311DETERMINISTICMODELSINOPERATIONSRESEARCHLecture18:FinalReview2Prof.W.ArtChaovalitwongseTopics Ch.4:SimplexMethod Ch.5:Sensi@vityAnalysis GraphicalSensi@vityAnalysis LINDOSensi@vityAnalysis(including100%rule) Ch.6:MatrixNota@on SimplexM
Rutgers - ENG - 303
General Course InformationRutgers University, Department of Industrial Engineering540:303 Manufacturing Processes, Spring 2010,Time: MW 1:40-3:00 p.m.Place: HILL -009Course Coordinator and InstructorProfessor Tugrul Ozel, CoRE-208Office Hours: M W
Rutgers - ENG - 303
Engineering Materials andTheirTheir PropertiesManufacturing Processes Spring 2011Prof. T. zelManufacturing ProcessesNet shape processes Bulk Deformation(Forging, Rolling, Extrusion, Drawing) Sheet Metal Forming (Shearing, Bending) Metal Casting
Rutgers - ENG - 303
Chapter 3Structure and Manufacturing Properties ofMetalsMetalsManufacturing Processes Spring 2011Prof. Tugrul OzelTurbine Blades for Jet EnginesFIGURE 3.1 Turbine blades for jet engines, manufactured by three differentmethods: (a) conventionally c
Rutgers - ENG - 303
Chapter 4Surfaces, Tribology, DimensionalCharacteristics, Inspection andProduct Quality AssuranceManufacturing ProcessesProf. Tugrul OzelSurface Characteristics and TribologySurface conditions of a manufacturing part directlyinfluence the processi
Rutgers - ENG - 303
CHAPTER 8MaterialRemovalProcesses:CuttingPart-1Manufacturing ProcessesProf. Tugrul OzelManufacturing Processes: MachiningChapter 8Chapter 9Chapter 9Schematic illustrations of various machining and finishingillfiprocesses.Manufacturing Proce
Rutgers - ENG - 303
CHAPTER 8MaterialRemovalProcesses:CuttingPart-2Manufacturing ProcessesProf. Tugrul OzelLatheOperationsFIGURE 8.40Various cuttingoperations that cantithbe performed on alathe.Manufacturing ProcessesProf. Tugrul OzelDesignations for aRigh
Rutgers - ENG - 303
Chapter 6Bulk DeformationProcessesProcessesManufacturing ProcessesProf. T. zelManufacturing Processes: Forming and ShapingExtrusion/DrawingSchematic illustration of various bulk deformation processesManufacturing ProcessesProf. T. zelBULK DEFOR
Rutgers - ENG - 303
CHAPTER 7Sheet-Metal Forming ProcessesManufacturing ProcessesProf. Tugrul OzelManufacturing Processes: Forming and ShapingSchematic illustration of various sheet metal formingillustration of various sheet metal formingprocessesManufacturing Proces
Rutgers - ENG - 303
CHAPTER 9Abrasive andNon-TraditionalMaterialRemovalProcessesProcessesManufacturing ProcessesProf. Tugrul OzelRelative Knoop Hardness9.2 AbrasivesPCDCBN1. Conventional abrasives: Aluminum oxide (Al2O3) Silicon carbide (SiC)SiliconCarbideAlu
Rutgers - ENG - 303
CHAPTER 10Processing ofPolymers andReinforced Plastics;Rapid Prototyping andRapidRapid ToolingManufacturing ProcessesProf. Tugrul OzelPolymersThe characteristics of polymersinclude: Corrosion resistance and resistance tochemicals Low electri
Rutgers - ENG - 303
CHAPTERCHAPTER 13:MicrofabricationProcesses &NanomanufacturingManufacturing ProcessesProf. T. zelFabrication Sequence forIntegratedIntegrated Circuits Microfabrication processes are utilized in fabrication ofcomponents and systems for microelec
Rutgers - ENG - 303
Large Projects 1.Fully Automated Elevator Maintenance System 2. Injury Proof Office Environment 3. Automated Quality Control for Seal Inspection System 4. Waste Minimization and Revenue MaximizationCutting System5. Shop Mate for Picking up Objects6
Rutgers - ENG - 303
SensorA sensor is an element in a measurement system thatdetects the magnitude of a physical parameter andchanges it into a signal that can be processed by thesystem.Input SignalOutput SignalSensor A sensor is a device that receives a stimulus and