Module 9C

Module 9C - IE 361 Module 9 Simple Principles in the...

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IE 361 Module 9 Simple Principles in the Collection of Industrial and Engineering Data and Simple Statistical Graphics for Quality Assurance Reading: Sections 2.3, 2.4 Statistical Quality Assurance Methods for Engineers (Sections 1.4 and 1.5 of Revised SQAME ) Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman and Morris (Iowa State University) IE 361 Module 9 1 / 17
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The Habitual Collection and Display of Process Data Step #3 in the 6-Step Process-Oriented Quality Assurance Cycle of Table 1.1 of SQAME urges the regular collection and summarization of data on process performance. Data from a single period serve to give one a snapshot of process performance. Comparison of data sets from multiple periods allows one to see and act on trends in process performance. In this module we make some observations about real world data collection and then note how e/ective some of the simplest tools of statistical graphics can be in giving one a quick picture of the main features of a process performance data set. Vardeman and Morris (Iowa State University) IE 361 Module 9 2 ± 17
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Simple Principles of Engineering and Quality Assurance Data Collection a data collection form. They must be gathered by real humans (or "automatic" data collection systems designed and implemented by humans) and are only as useful as the wisdom, care, and genuine good will that go into their collection. There are technical matters that impact the usefulness of QA data (like exact sample size choices and particular choices of structure for a data collection plan). But whether data are to be used to monitor process stability/performance or to guide changes aimed at process improvement, there are also some simple qualitative guidelines that are relevant. Among these are the following:
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Simple Principles of Engineering and Quality Assurance Data Collection
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Simple Principles of Engineering and Quality Assurance Data Collection
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Simple Statistical Graphics for Quality Assurance Once data are collected, it is important to get them immediately used. of lectures of an elementary statistics course like Stat 231) can be amazingly e/ective in conveying the most important features of a data set and suggesting what is going on in a process (and, sometimes, how it might be improved). Histograms provide very simple summaries of distribution center, spread, and shape, that are understandable by even very non-quantitative persons. Usually, a (not necessarily symmetric, but) fairly smooth "unimodal" (one
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Module 9C - IE 361 Module 9 Simple Principles in the...

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