SMU OREM 4390 - Statistical Quality Control Software

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Page 1Page 2Page 3Page 4Page 5Page 6Page 7Page 8Page 9Page 10Page 11Page 12Page 13Page 14Page 15Page 16Page 17Page 18Page 19Page 20Page 21Page 22Page 23Page 24Page 25Page 26Page 27Page 28Page 29Page 30Page 31Page 32Page 33Page 341987.07 Spring 1987 SOUTHERN METHODIST UNII Statistical Quality Control Software: QSCA]J Analysis David S. Savage AL QUALITY CONTROL SOFTWARE: QSCAN ANALYSIS by David S. Savage Prepared for: Dr. Richard Barr OREM 4390 Senior Design DEPARTMENT OF OPERATIONS RESEARCH AND ENGINEERING MANAGEMENTSCHOOL OF ENGINEERING AND APPLIED SCIENCE DALLAS, TEXAS 75275I ISTATISTICAL QUALITY CONTROL SOFTWARE:QSCAN ANALYSIS by David S. Savage Prepared for:Dr. Richard BarrOREM 4390 Senior Design This report examines the proliferation of statistical quality control software in the manufacturing industry. It focuses on one type of software, QScan Statistical Process Control.May 8, 1987TABLE OF CONTENTS I. Summary........................................1 II. Backgrounds and Descriptions ....................2 A.Introduction ................................2 B.Definition of Quality .......................3 C.Design vs. Manufactured Quality .............4 D.Statistical Quality Control .................6 E.Process Control Charts ......................7 F.Industrial Process Control Software ..........9 III. Analysis of QScan ..............................11 A.Introduction ................................12 B.Analysis Mode ...............................12 C.Presentation Mode ...........................14 IV. Data Implementation Output ......................15 V.Conclusions .....................................17Diaqrams and Charts ..........................19-31II II. SUMMARY Process Control Software is revolutionizing theQuality Control function of industry. Its effect on the qualityand productivity of products and services in today's modern industrial atmosphere cannot be underesti-mated. Understanding how to apply the software to a manufacturers needs is the point of this report. Sample data was used to illustrate how QScan Statistical Process Control Software can enhance the quality of any manufac-turing process. 'The most important aspect of QScan is the ease and applicability with which it can be applied and the flexi-bility it offers large industries with many product lines. Any manufacturing firm, large or small, can benefit from the use of QScan or any other statistical process control software, but QScan offers much more. QScan opens the quqlity process to all levels in a manufacturing organization, and promotes-the exchange of information and ideas for quality and productivity improve-ment. Managers qet direct access to meaningul information, and their reports are enhanced by high-resolution graphics. Line supervisors are able to perform immediate spot checks, auickly entering new data and analyzing the results for process status. Quality engineers can monitor and control Umanufacturing processes, design sampling plans, and determine process capability.I III. BACKGROUND AND DESCRIPTIONS A. Introduction Quality control is a term that has received consi-derable attention in the past few decades. The rise of Japan into the secont most powerful nation in the free world may account for this interest because of Japan's success at beating foreign competitors in all areas of quality and thus increasing the performance of their pro-ducts and services. After WWII Japan faced the ominous Itest of rebuilding all of its industry from ruin. With the U.S.'s help, new factories and methods of production were established and the beginnings of a new approach at producing quality goods came about. One of the world's Ileading international quality consultants, Dr. W. Edwards I .Deming, went to Japan in the post-WWII period to help them establish industries that relied on statistical quality control. With his help, the Japanese created a method of assuring quality in their products that even the U.S. en-vied until it realized that Japan had "stolen" hundreds of millions of dollars in foreign trade. It took this reali-zation to move American industry into action and begin to strive for quality. Other factors affecting modern manufacturing and ser-vice industries are increased customer quality requirements 12 IIi I Iand the development of new product technology. Part of the new demand for higher quality products stems from Japan Iand other foreign countries who have offered better pro-ducts for Americans to buy, some at lower prices. The IJapanese invasion into the American automobile industry is Iaqood example.During the early 1970's, Toyota, Honda, and other Japanese automobile companies introduced smaller Iandcheaper cars into the American market.The most stri-king feature of these cars, however, was their higher qua--Ility compared to American cars.The American automobile Iindustry was not only forced to introduce the new "compact" cars but also re-evaluate the quality standards they en-forced.Japan's quality control methods played a large part in the success of their automobiles. INewtechnology in most industries has made it possible manufacture products that provide more functions and Ito higher performance levels.This is another reason quality Icontrolhas become a major new functional area of all com-panies that produce qoods and services.Products that are more sensitive and operate at higher levels of performance than ever before require more vigorous quality standards Iand assurance.B. Definition of Quality IProducts must meet the requirements of those who use 13I U them. Therefore, a general definition of quality is "fitness for use." This definition is attributed to ano-ther noted international quality consultant who worked with Deming in Japan, Dr. Joseph M. Juran. It is especially useful because it places emphasis on the consumer aspect of quality. A more widely used definition of quality is "conformance to requirements or specifications." Phil Crosby has suggested that this definition is necessary be-cause in order to manage quality adequately we must be able to measure it. Both of these definitions provide useful insights into the nature of quality and combining them emphasizes that re-quirements and specifications translate fitness for use into measurable quantities. It is important to realize that qua-lity doesn't necessarily mean high quality, it means unifor-mity, consistency, and conformity to a standard or


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