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Midterm

Midterm 2 Review Package.pdf

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Department
Business
Course
BU275
Professor
Zolfgarana
Semester
Winter

Description
1PageMIDMIDTERM EXAM TERM EXAM 22MIDMIDTERM EXAM TERM EXAM 22DateDate March 14 March 14 2014 2014DateDate March 14 March 14 2014 2014CONTENTCONTENTCONTENTCONTENTStatistical Considerations and Statistical Considerations and Curve FittingCurve FittingLecture 9Lecture 9Statistical Considerations and Statistical Considerations and Curve FittingCurve FittingLecture 9Lecture 9Dynamic Simulation with Arena Lectures 10 11 12Dynamic Simulation with Arena Lectures 10 11 12Dynamic Simulation with Arena Lectures 10 11 12Dynamic Simulation with Arena Lectures 10 11 12Introduction to LP and Graphical Introduction to LP and Graphical SolutionSolutionLectLectureuress13 1413 14Introduction to LP and Graphical Introduction to LP and Graphical SolutionSolutionLectLectureyuress13 1413 14LP Formulation and LP Formulation and AApplicationspplications Lect Lectureurenotes Lecturenotes Lecturess15 1615 16 17 17LP Formulation and LP Formulation and AApplicationspplications Lect Lectureyurenotes Lecturenotes Lecturess15 1615 16 17 17 WHAT TO BRINGWHAT TO BRINGWHAT TO BRINGWHAT TO BRINGPPen pencil eraser ruleren pencil eraser ruler and calculator and calculatorPPen pencil eraser ruleren pencil eraser ruler and calculator and calculator WHAT TO DOWHAT TO DOWHAT TO DOWHAT TO DOPlease rPlease read the questions and instructions very carefullyead the questions and instructions very carefullyPlease rPlease read the questions and instructions very carefullyead the questions and instructions very carefullyFollow the instructionsFollow the instructionsbecause you do not get extra credit for writing morebecause you do not get extra credit for writing moreFollow the instructionsFollow the instructionsbecause you do not get extra credit for writing morebecause you do not get extra credit for writing moreAlways show yourAlways show yourwork for short answer questionswork for short answer questionsAlways show yourAlways show yourwork for short answer questionswork for short answer questions Hossein2PagePART IPART ISTATISTICAL CONSIDERATIONS AND CURVE FITTINGSTATISTICAL CONSIDERATIONS AND CURVE FITTINGPART IPART ISTATISTICAL CONSIDERATIONS AND CURVE FITTINGSTATISTICAL CONSIDERATIONS AND CURVE FITTING 1 Choosing the Right Distribution The underlying assumption is choosing right distribution ie curve fitting is that past represents future Before choosing distribution we need to collect data for input variables If historical data is not available we need to collect data which requires a large amount of timeAfter data collection follow the three simple steps Step 1Identify whether the input variable is discrete or continuousA continuous distribution is used if any values are possible including both integer and fractional numbers over the entire range of possible values eg interarrival time A discrete distribution is used if only certain specific values eg only some integer values are possible eg number of new subscribers to a magazine number of accidents on Highway 401 per year Step 2Draw histogram and do eyeball test Step 3Conduct statistical test ie goodnessoffit test ChiSquarePvalue05 indicates good fit KolmogorovSmirnov Test statistics 003 indicates good fit AndersonDarlingTest statistics 15 indicates good fit Arena only provides ChiSquare and KolmogorovSmirnov tests2 Curve Fitting with Arena Input Analyzer Step 1 If you do curve fitting of data using Arena check the Fit All summary to see the square error for all the distributions Step2 If the first 23 distributions have very similar square errors fit the data to each one of these distributions individually Step3 Use the distribution which indicates the best fit based on Chisquared largest pvalue or KolmogorovSmirnoff test smallest test statistics If data does not fit any wellknown distribution even with changing histogram range or changing the number of intervals you should use empirical distributionPART IIPART IIDYNAMIC SIMULATION WITH ARENADYNAMIC SIMULATION WITH ARENAPART IIPART IIDYNAMIC SIMULATION WITH ARENADYNAMIC SIMULATION WITH ARENA 3 Arena Environment Arena is commercial software which can be used for simulating stochastic dynamic and discrete models To model your process in Arena youll work in two main regions of the application window the Project Bar and the Model Window The Basic Process panel that contains modeling shapes called modules are used to define your process There are two types of modules 1 flowchart modules eg Create Decide Assign Process Record and Dispose and 2 data modules eg Entity Queue and Resource Hossein
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