Microsoft PowerPoint - 5 Assignement and lab tutorial

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    Tutorial #4

    1. Assignment #3 help2. Lab preparation / help

    3. Tutorial questions

    Step1: Baseline the existing state

    Run the simulation 15 times(with the input set at thenominal value)

    Run a descriptive stats tounderstand the existingmean, standard deviation anddistribution.

    1 5 1. 5 1 5 2. 0 1 5 2. 5 1 53 .0 1 5 3. 5 1 5 4. 0

    95% Confidence Interval for Mu

    152 .0 152.2 152.4 152 .6 152.8 153.0 153 .2 153.4

    95% Confidence Interval for Median

    Variable: Initial base

    A-Squared:P-Value:

    MeanStDevVarianceSkewnessKurtosisN

    Minimum1st QuartileMedian3rd QuartileMaximum

    152.312

    0.607

    152.095

    0.3570.407

    152.7710.829

    0.686770-4.9E-02-1.16296

    15

    151.510152.080152.920153.380154.130

    153.230

    1.307

    153.350

    Anderson-Darling Normality Test

    95% Confidence Interval for Mu

    95% Confidence Interval for Sigma

    95% Confidence Interval for Median

    Descriptive Statistics

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    Step 2: Design a 2-level experiment using

    Minitab Explain why you selected the

    resolution you did. ( I would not recommend a

    full factorial OR a resolutionIII.)

    Step 3: Run the DOE

    If you selected a resolution IV you will have 16 runsto complete. (In this case) Run 1 will require allControl factors to be set to their minimum value.

    Run 1 is with allsettings at -1

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    Step 4: Analyze the data

    Add a column entitled Response and inputthe value from each DOE simulation.

    Step 4: Analyze the data

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    Step 5: Main effect plot

    Youll need toenter the setuppage.

    Step 6: Create System Model From the analysis

    determine whichparameters arerelevant.

    From the sessionwindow inMinitab identifythe constant termsfor the relevantparameters.

    100500

    B

    C

    AE

    A

    AC

    AB

    AF

    AD

    G

    F

    AG

    D

    E

    BD

    Pareto Chart of the Standardized Effects(response is Response, Alpha = .10)

    A: AB: BC: CD: DE: EF: FG: G

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    Step 6: Create System Model

    Under the tools menu Solver Select the target cell (what you want to maximize, minimize or solve

    to a value). Select the cells which are independent (the cells that can change). List the constraints on the changing cells. (in this case all cells must

    be between 1 and 1) Hint: Select coded units (1,0,-1)in Minitab and convert to actual

    values later.

    Step 7: Rerun the optimal setting

    Excel solver willidentify the ideal valuefor each input X.Rescale it from

    -1 1 to the true range.

    Enter this into thesimulation tool andobtain the distributionof the optimized value.

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    Commonly Asked Questions Are the CF in the assignment continuous?

    Yes, because the control factors are quantitymeasurements as opposed to discrete items

    Once you have your optimal value in coded units (+1and -1) then interpolate to get this into "real values"(the numbers that fit into simulation).

    For example if you get A=-1 for the optimal soln thenconvert this to A= 609.7

    Helicopter Lab

    Robust DesignStatic Taguchi DOE

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    The Helicopter LabLearning Objectives:

    Develop a helicopter concept prototype Conduct a Robust Design DOE Two step optimization using an L9 array.

    Materials

    Light weight paper (Provided) Heavy weight paper (Provided) Scissors (Bring 2 pairs per group) Stop watches (Bring 1 per group)

    Creativity

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    The Voice of the Customer A helicopter that will always rotate . The helicopter to stay in the air as long as possible Customers will use different paper types since a

    common type of paper will not always be available(noise).

    Due to time and cost constraints you must use an L9.

    Develop your Control Factors & levels

    You must pick 4 Control Factors (To fit an L 9 array).

    For each Control Factor you must select 3levels.

    You may need to find creative ways to

    include all contributing factors.

    Watch out for Interacting ControlFactors!!!

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    Information about the L9 Array Columns 3 & 4 are confounded/aliased with

    Columns 1 & 2! So if there are interactions between factors

    in columns 1 & 2 they will be confoundedwith the factors in columns 3 & 4

    What does this mean to you?

    Noise Factors

    Noise 1

    Heavy WeightPaper

    Noise 2

    Light WeightPaper

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    What are the responses? Will always rotate

    Minimum specified RPS

    Stay in the air as long as possibleMaximize air time

    Analyzing the Data

    Identify the Control Factors that willmaximize S/N

    Identify the Control Factors that willshifting to target

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    Confirmation Experiment Using the optimized set points for your

    Control Factors and with the mean shiftedto maximize flight time and S/N

    Check does your confirmation run matchyour predicted run?

    How to Build a Helicopter

    Start with a strip ofpaper cut per marksabove

    Fold the wing andbody

    Drop from requiredheight.

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    Pre-Lab Work:Prior to the lab please hand in the following:1. Various concept (Include as an appendix)2. P-diagram

    A comprehensive list of possible noisesA list of CP candidates

    A list of possible responses.Input type

    3. A suggested approach to testing (full factorial, Taguchi matrix, etc) alongwith justification

    4. A strategy to handle the noises (compounded, worst case noise, Taguchi,etc) along with justification. (1 page max)

    5. Explore the various concepts (Create models and try out a few). You dontneed to hand this in but you should have an idea of what you would like topursue once you begin the lab.

    6. Bring the following: A ruler, pencil, scissors and a stopwatch.

    YOU MUST TRY A FEW CONCEPTS BEFORE COMING!!!!