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Module 1C - IE 361 Module 1 Course Introduction and Process...

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IE 361 Module 1 Course Introduction and Process Identi°cation and Analysis Reading: Chapter 1 and Section 2.1 Statistical Quality Assurance for Engineers (Sections 1.1-1.3 of Revised SQAME ) Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman and Morris (Iowa State University) IE 361 Module 1 1 / 16
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Course Syllabus/Schedule Syllabus and grading One regular 2-hour meeting per week Demonstrations Labs Problem Sessions Discussions of Course Group Projects Exams Students are responsible for viewing modules before class (bring a calculator and the textbook to class) Additional meetings with your instructor to discuss how the projects are going will be scheduled one group at a time Vardeman and Morris (Iowa State University) IE 361 Module 1 2 / 16
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Introduction "Quality" ... What is it? What is its connection to "statistics" (SQC)? Some illustrative cases: Lexus In°nity vs. Toyota Tercel? Aunt Maude±s vs. McDonald±s? A chau/eured limo vs. CyRide? There are facets of the colloquial meaning of "quality" that have to do with Appropriateness of a product (there are apples and there are oranges ... there are di/erent species of goods and services) Small variation from what is intended or expected (as a matter of fact, "variation" almost always implies "unquality") Vardeman and Morris (Iowa State University) IE 361 Module 1 3 / 16
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Introduction A common de°nition of "quality" is °tness for use . And this has 2 main dimensions: 1 Quality of design (that is concerned with appropriateness and cleverness of features ... product species) 2 Quality of conformance (that is concerned with small variation from what is designed and intended) It is the second of these that is the main concern of IE 361. A pair of illustrative cases: CyRide and bus schedules The early Ford Escort transaxel story Vardeman and Morris (Iowa State University) IE 361 Module 1 4 / 16
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Introduction What has "quality" to do with "statistics"? Statistics is concerned with 1 collecting data 2 summarizing data 3 drawing properly quali°ed inferences on the basis of data all in a framework that explicitly recognizes the reality of and absolutely
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