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    House of Quality Matrix

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    CONTENTS AT A GLANCE Topic Page Product: The Pizza 3 Pizza Defined 3 Varieties in Pizza 3 Product Development: The Pizza 4 Ingredients and Varieties Selection 4 Quality Function Deployment 5 What’s QFD? 5 House of Quality 6 House of Quality of Pizza 9 Identify the customer wants 9 Identify how the product will satisfy the customer’s wants 10 Identify relations between our “hows” 12 Develop importance ratings 13 Evaluate competing products 14 Determine the

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    Customer Satisfaction

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    University of Iowa Iowa Research Online Theses and Dissertations 2012 Three essays on the customer satisfaction-customer loyalty association Young Han Bae University of Iowa Copyright 2012 Young Han Bae This dissertation is available at Iowa Research Online: http://ir.uiowa.edu/etd/3255 Follow this and additional works at: http://ir.uiowa.edu/etd Part of theBusiness Administration‚ Management‚ and Operations Commons Recommended Citation Bae‚ Young Han. "Three essays on the customer satisfaction-customer

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    Tutorial 3 Making the Business Case Multiple Choice Questions 1. A mature‚ stable industry may need IS to ________ the current pace of operations‚ while a company in a newer‚ more volatile industry (i.e.‚ a cellular phone company) may find it more important to __________________ technology. a. reduce‚ outsource b. maintain‚ be on the leading edge of c. advance‚ reduce d. accelerate‚ maintain 2. Porter’s five forces include: a. competitors‚ new entrants‚ customers

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    Background Information Binet defined intelligence as the capacity (1) to find and maintain a definite direction or purpose‚ (2) to make necessary adaptations-that is strategy adjustments -to achieve that purpose‚ and (3) for self-criticism so that necessary adjustments in strategy can be made. Binet’s two principles of test construction were age differentiation and general mental ability. Age differentiation refers to the fact that with increasing age‚ children develop their abilities. Thus‚ older

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    Portfolio RIsk and Return

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    1. Convert prices to total return (% change in the price) = (Pt – Pt-1) / Pt-1 2. Remove outliers – sort data and remove anything +/- 20% 3. Calculate historical average and historical risk X-BAR = Σx/n Calculate the sum of the total return and divide by the number of observations • Variance = σ2 = Σ(x – x bar) 2 / (n-1) Fix X-BAR‚ double click to apply to all dates‚ get the sum‚ divide by (n-1) Risk = σ = √σ = SQRT(Variance) = standard deviation 4. Average Matrix Excel Options

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    SleepMore Manufacturing Case

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    Project Risk and Cost Management Case Study Sleep More Mattress Manufacturing: Plant Consolidation Group Members: Divya Yadav‚ Lamia Nafees‚ Ashwin Chadaga‚ Deeshanu Sharma EXECUTIVE SUMMARY: Sleepmore mattress is one of the leading manufacturers of mattresses and has recently acquired its competitor. This acquisition has brought in a unique proposition wherein the company has to decide if it wants to consolidate the existing plants with the acquired plants or let them both

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    Pinnacle Manufacturing Case

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    Original Work please INTEGRATED CASE APPLICATION –PINNACLE MANUFACTURING: PART II 9-37 (Objectives 9-7‚ 9-8) In Part I of the case‚ you performed preliminary analytical procedures for Pinnacle (pp. 245–247). The purpose of Part II is to identify factors influencing risks and the relationship of risks to audit evidence. During the planning phase of the audit‚ you met with Pinnacle’s management team and performed other planning activities. You encounter the following situations that you believe

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    An Application of the Analytical Hierarchy Process (AHP) in the Selection of Functional Areas of a Business Organization of the Industrial Engineering (IE) Students Class of 2013 of the University of Santo Tomas (UST) Authors: Eunice Bianca L. Agpasa‚ Mikhail George C. Agustin‚ Arlene Leah L. Chua‚ 5IEB‚ 5th Year Industrial Engineering Students‚ University of Santo Tomas‚ España‚ Manila‚ Philippines I. Abstract Career selection is crucial in determining future plans of students‚ particularly Industrial

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    R Programming

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    . . . . . . . . . . . 12 Running R in Batch Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 13 16 16 4 A First R Example Session (5 Minutes) 5 Functions: a Short Programming Example 6 Scalars‚ Vectors‚ Arrays and Matrices 6.1 6.2 6.3 6.4 6.5 6.6 6.7 “Declarations” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Generating Useful Vectors with “:”‚ seq() and rep() . . . . . . . . . . . . . . . . . . . . . . 17 Vector Arithmetic

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    problems being solved and the assumptions being made Cross-reference usage scenarios and problems with requirements Results of the Analysis Mission statement Hierarchy of goals and CSFs Lists of requirements‚ problems‚ and assumptions Analysis matrices Problems vs. Requirements matrix Usage scenarios vs. Requirements matrix Solid usage scenarios Relationship to Usage Scenarios Usage scenarios or "use cases"; provide a means of determining: Are the requirements aligned and self-consistent

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