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### Fig16-09_MultiPeriodDiscreteLostSales_

Course: QM 670, Fall 2011
School: Jefferson College
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Word Count: 1021

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MULTI-PERIOD A B C D E F 1 EOQ MODEL (Lost Sales) - DISCRETE LEAD-TIME DEMAND 2 Compact Discs 3 PROBLEM: 4 Parameter Values 5 Fixed Cost per Order: k = 6 Annual Demand Rate: A = 7 Unit cost of Procuring an Item: c = 8 Annual Holding Cost per Dollar Value: h = 9 Shortage Cost per Unit: pS = 10 Shortage Cost per Unit: pR = 11 Number of demands for probability distribution = 12 13 Optimal Values: 14 Optimal Order...

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Jefferson College - QM - 670
ABCDEF1 MULTI-PERIOD EOQ MODEL (Backordering) - NORMAL LEAD-TIME DEMAND23 PROBLEM: Unleaded Gas at Oil Refinery45Parameter Values:6Mean of Demand Distribution: mu =7Stand. Deviation of Demand Distribution: sigma =8Fixed Cost per Order: k
Jefferson College - QM - 670
ABCDEF1 MULTI-PERIOD EOQ MODEL (Lost Sales) - NORMAL LEAD-TIME DEMAND23 PROBLEM: Roger's Sentinel Station45Parameter Values:6Mean of Demand Distribution: mu =7Stand. Deviation of Demand Distribution: sigma =8Fixed Cost per Order: k =9An
Jefferson College - QM - 670
Forecasting ExampleTo know the future is impossible. To predictthe future is easy. To accurately predict thefuture is what separates the Bill Gatess fromthe Barney Fifes.- Dr. StatsloveFoercasting Rules 1 and 21. DTDP Draw the darn picture! (This i
Jefferson College - QM - 670
Data for Samantha's Super Sectional SofasQuarter123456789101112131415161718192021222324%Defective7.316.197.446.617.337.436.747.356.8611.406.086.658.247.336.277.037.527.807.217.237.276.927.557.75Note: Thes
Jefferson College - QM - 670
Forecasting InventoryExampleTo know the future is impossible. To predictthe future is easy. To accurately predict thefuture is what separates the Bill Gatess fromthe Barney Fifes.- Dr. StatsloveExampleA firm is interested in determining how manyu
Jefferson College - QM - 670
Forecasting ProblemYou are the newly hired manager of Simpsons, Inc., a small company thatproduces nonwoven fabric. You are currently trying to determine the number of rolls offabric to produce during the first quarter for Burns &amp; Smithers. Your boss,
Jefferson College - QM - 670
Forecasting Thumbnail NotesPurpose: To use past data to predict future observations of business variables.Situation: We have an explanatory variable that is the given time period and some response variable thatneeds to be predicted for the future.Step
Jefferson College - QM - 670
Chapter 7My interest is in the future because I amgoing to spend the rest of my life there.Charles F. KetteringForecasting1Time-Series AnalysisA time series is numerical sequence ofvalues generated over regular time intervals.The classical time-s
Jefferson College - QM - 670
#N/A4598153.14.924.0157.517.49 56.100164.251-2.251 5.06700162.22518.7749 76.9988770.12251 4.87749 23.78990974.512251 2.487749 6.188895176.751225 5.2487749 27.54963881.475123 3.5248775 12.42476184.647512 -1.647512 2.714296683.164751 4.835
Jefferson College - QM - 670
Grocery Store Items1. Sara Lee Wheat Bread2. Pillsbury Cookie Dough3. Pampers Diapers4. Kraft Cheese Slices5. 12 Pack of Coca Cola6. Cool Ranch Doritos Chips7. Pop Tarts8. Welchs Grape Juice9. Digorno Pizza10. Texas Toast11. Grapes12. Honey Ha
Jefferson College - QM - 670
Frequently Purchased ItemsSara Lee Wheat BreadPillsbury Cookie DoughKraft Cheese Slices12 Pack of Coca ColaCool Ranch Doritos ChipsPop TartsWelchs Grape JuiceTexas ToastSuave ShampooKibbles and Bits Dog FoodChips Ahoy CookiesMayoBall Park Hot
Jefferson College - QM - 670
QM 670 Group Projects &amp; PresentationAs stated in the syllabus, you will complete two group projects and submit aPowerPoint presentation of the second project. All presentations will be scored by theclass members. The purpose of the assignments is twofo
Jefferson College - QM - 670
QM 670 Group Projects &amp; PresentationAs stated in the syllabus, you will complete two group projects and submit aPowerPoint presentation of the second project. All presentations will be scored by theclass members. The purpose of the assignments is twofo
Jefferson College - QM - 670
IndependentDemandInventoryManagementPowerPointsTypesofInventoryInventorycomesinmanyshapesandsizessuchasRawmaterialspurchaseditemsorextractedmaterialstransformedintocomponentsorproductsComponentspartsorsubassembliesusedinfinalproductWorkinproces
Jefferson College - QM - 670
Inventory Thumbnail NotesModels:Deterministic Models:1. Economic Order Quantity (EOQ) use when demand is known, constant,backorders/shortages are not allowed, and inventory usage is constant.Parameter Values:Fixed Cost per Order:k=Annual Number of
Jefferson College - QM - 670
QM 670 Inventory Homework: Jason BooiQuestion 2: (p.227)The current order quantity for Electric Powerbars is 100 bars. The order cost is \$10 per order, the holding cost is \$0.25 per box per year,and the annual demand is 2000 bars per yearOrder Quantit
Jefferson College - QM - 670
Please use the average household income, cost of living index, and population for each city from2009 - try your hardest to find 09. (Dr. Barrett's suggestion)Huntsville:Males: 86,494Females:93,159Median resident age:Alabama medianage:(48.1%)(51.
Jefferson College - QM - 670
More Sample InventoryProblemsNote: Refer to the InventoryThumbnail NotesEconomic Production QuantityExampleLambda Optics makes microscopic lenshousings. The housings can be produced at arate of 200,000 units/yr. Annual demand is100,000 units/yr.
Jefferson College - QM - 670
PopulationIndex179653604,13364516982.686.8135.7Median Income\$46,014\$37,331\$51,688Huntsville:Population in July 2009: 179,653. Population change since 2000: +13.5%Dec. 2009 cost of living index in Huntsville: 82.6 (low, U.S. average is 100)E
Jefferson College - QM - 670
1QM 670DECISION THEORYDr. Doug Barrett1.0 Decision Theory IntroductionDecision Making:1) Futureuncertainty2) Tradeoffs:Non-technicalBetter or best choiceNot necessarily the best choiceLinear program: unlikely to know all the coefficientsForecas
Jefferson College - QM - 670
QM 670 Regression ProblemsWe are using the following data to build a model to predict house prices.Price87155148290455122759810013614916521022514011510513810093Sq.Feet1400210024002900390023001300170016502250214018002170
Jefferson College - QM - 670
Dr. StatsloveOr: how I learned to stop worrying and love QMWelcome to QM 670! This is a brief introduction and syllabus addendum. Firstoff, I am J. Douglas (Doug) Barrett. Since we will be spending the next four months orso working together, I will te
Jefferson College - QM - 670
QM 670 Exam II1. ANF produces nonwoven fabric. An important measurement is the tensile strength,which is the strength of the fabric to avoid being torn apart. One customer hasspecified that the mean tensile strength must fall between 240 g/si (grams pe
Jefferson College - QM - 670
xam II: Jason Booi1. ANF produces nonwoven fabric. An important measurement is the tensile strength, which is the strength of the fabric to avoid being torn apart.One customer has specified that the mean tensile strength must fall between 240 g/si (gram
Jefferson College - QM - 670
QM 670 Inventory HomeworkDo problems 2, 4, 7, 8, and 11 on pp. 227-229.1. Beaver &amp; Thorne Inc. produces expensive decorative jewelry for prestigious upscaleManhattan department stores. Due to current capacity constraints, they produce anequal quantity
Jefferson College - QM - 670
1QM 670DECISION THEORYDr. Doug Barrett1.0 Decision Theory IntroductionDecision Making:1) Futureuncertainty2) Tradeoffs:Non-technicalBetter or best choiceNot necessarily the best choiceLinear program: unlikely to know all the coefficientsForecas
Jefferson College - QM - 670
Regression ExampleOr More Fun Than a Barrel ofTypical ValuesNote: Refer to the QM 670Regression Problems Handout Failure to do so could cause symptomssuch as headaches, confusion, ordrowsiness Please do not operate heavy machinerywhile doing QM h
Jefferson College - QM - 670
1. The management of Wheeler Company has decided to develop cost formulas for its major overhead activities.Quarter Machine Hrs.Power Cost1200002600022500038000330000425004220003700052100034000618000290007240003600082800040000Ma
Jefferson College - QM - 670
Quality HomeworkDo problems 2, 4, and 9 in Chapter 2 (pp 62-63)Do problems 1, 2, 3 in Chapter 11 (p. 441)
Jefferson College - QM - 670
Ashley WorleyQuality HomeworkChapter 2 Homework2.A.Upper Tolerance = 36Lower Tolerance = 24Mean = 30Standard Deviation = 4Actual Upper = 30+4*4 = 46Actual Lower = 30-4*4 = 14No, this company is not delivering six sigma quality because the upper
Jefferson College - QM - 670
SUMMARY OUTPUTRegression StatisticsMultiple R 0.6233156R Square 0.3885223Adjusted R 0.3179672SquareStandard Error2.2161226Observations30ANOVAdfRegressionResidualTotalInterceptAssetsSEPPESSMSFSignificance F3 81.132768 27.044256 5.506
Jefferson College - QM - 670
Linear Regression for Population1096.92 98.97 99.28 96.99 97.23T ot al PriceIndex.99Population50000Linear Regression for Index97.231-0.4652791-0.220293 0.63227310.7228947 -0.455224 -0.44863910000096Index Median Income.97T PricePo
Jefferson College - QM - 670
Regression and Correlation AnalysisSimple Linear Regression (SLR)Situation we wish to analyze the relationship between two continuous variables X andY). Y is the response variable, and is the variable we wish to predict. X is theexplanatory variable,
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