61. IMS Fellows Severo, Norman C. Shafer, Glenn Shaked, Moshe Shaman, Paul Shao, Jun Shao, QiManSharpe, Michael J. Shepp, Lawrence A. shewhart, walter A. Shohat, James A http://www.imstat.org/awards_honored_fellows.htm

IMS Awards COPPS Awards Awards Recipients Special Lectures ... click here to link to IMS Fellows section in the handbook IMS Fellows (through 2002) A Adler, Robert J. Aitchison, John Aitken, Alexander C. Akaike, Hirotugu Akritas, Michael G. Alam, Khursheed Albert, Arthur E. Aldous, David Alexander, Kenneth S. Allen, Roy G. D. Andersen, Erik Sparre Anderson, Oskar Anderson, Richard L. Anderson, Theodore W. Anscombe, Francis J. Arjas, Elja Armitage, Peter Arnold, Barry C. Arnold, Kenneth J. Arratia, Richard Arrow, Kenneth J. Athreya, Krishna B. B Babu, G. J. Bahadur, R. Raj Bai, Zhidong Baker, George A. Bancroft, Theodore A. Banerjee, K. S.

62. Economist.com | Business Encyclopedia drop shared values shareholder shareholder value analysis shareowner sharewareshark repellent shelfspace shell company shewhart, walter Andrew shift shift http://www.economist.com/encyclopedia/Dictionary.cfm?Char=S

63. Yearwise List Of ISI Alumni 1962. DSc Honoris Causa BOSE, SATYENDRA NATH FISHER, RONALD AYLMER KOLMOGOROV,ANDERI NIKOLAEVICH NEHRU, JAWAHARLAL shewhart, walter A. http://www.isical.ac.in/~deanweb/ALU_YEAR.HTM

LIST OF DEGREE / DIPLOMA / CERTIFICATE RECIPIENTS OF ISI Degreewise List ISI Home page ISI Alumni Association page DSc Honoris Causa BOSE, SATYENDRA NATH FISHER, RONALD AYLMER KOLMOGOROV, ANDERI NIKOLAEVICH NEHRU, JAWAHARLAL SHEWHART, WALTER A. MStat Top of 1962 BALASUBRAMANIAN, KRISHNASWAMI CHIDAMBARAM, TATTAMANAGALAM S. IYER KISHORE, BUDDHIRAJU B. VERRA KRISNAN, KALAMBUR SRINIVASAN MENON, VAIRELIL VISHWANATH MUKHERJEE, TARUN KUMAR NAIDU, GURRAMKONDA MUNASWAMY NARAYANAMOORTHY, GANAPATHY IYER NATARAJAN, ISHWAR AIYER PANCHAPAKESAN, SUBRAHMANIAN PARTHASARATHY, KODUVAYUR R. IYER RAO, BHAGAVATULA L.S.PRAKASA, blsp@isib.ac.in RAO, VEMUGANTI RAMAKRISHNA ROW, TANJORE S.ANANTHASWAMI SEN, DEB RANJAN SHARMA, SATYA DEB SHENAI, BALAKRISHNA SARVOTHAM SUBRAMHANNYA, MAKKI THIMMAPPAIAH SWAMY, SUBRAMANIAN Top of yearwise list PhD BHAT, LAXMINARAYAN SANNA CHAKRAVARTI, ASISH KUMAR IYENGAR, NARASHIMA SREENIVASA JOHN, SLEEBE MURTHY, MANKAL NARASIMHA PATHAK, PRAMODE KUMAR RAO, JAMMALAMADAKA SUDARSANA SETHI, VINOD KARAN VARADHAN, SATHAMANGALAM R. SRINIVASA MStat Top of 1963 BABU, CHILUMURI PRABHAKARA

64. Degreewise Alumni List Of ISI DSc Honoris Causa Top of degreewise list. 1962 BOSE, SATYENDRA NATH FISHER, RONALDAYLMER KOLMOGOROV, ANDERI NIKOLAEVICH NEHRU, JAWAHARLAL shewhart, walter A. http://www.isical.ac.in/~deanweb/ALU_DEGR.HTM

LIST OF DEGREE / DIPLOMA / CERTIFICATE RECIPIENTS OF ISI Yearwise List ISI Home page ISI Alumni Association page Advanced Diploma in CS ... Statistician's Field Survey Diploma DSc Honoris Causa Top of degreewise list BOSE, SATYENDRA NATH FISHER, RONALD AYLMER KOLMOGOROV, ANDERI NIKOLAEVICH NEHRU, JAWAHARLAL SHEWHART, WALTER A. Top of DSc Honoris Causa DESHMUKH, CHINTAMAN DWARKANATH Top of DSc Honoris Causa BOSE, RAJ CHANDRA KELDYSH, MSTISLAV VSEVOLODOVICH NEYMAN, JERZY Top of DSc Honoris Causa CRAMER, HARALD Top of DSc Honoris Causa DESAI, MORARJI RANCHHODJI KANTAROVICH, LEONID VITAL'EVICH Top of DSc Honoris Causa RAO, CALYAMPUDI RADHAKRISHNA DSc Top of degreewise list PATIL, GANAPATI PARASHURAM KALLIANPUR, GOPINATH PhD Top of degreewise list BHAT, LAXMINARAYAN SANNA CHAKRAVARTI, ASISH KUMAR IYENGAR, NARASHIMA SREENIVASA JOHN, SLEEBE MURTHY, MANKAL NARASIMHA PATHAK, PRAMODE KUMAR RAO, JAMMALAMADAKA SUDARSANA SETHI, VINOD KARAN VARADHAN, SATHAMANGALAM R. SRINIVASA Top of PhD DORNAMRAJU, KRISHNA RAO MATHEW, NEWHOUSE THOMAS SHAH, K.RAMANLAL

65. QI: Statistical Process Control While working at Bell Telephone Laboratories in the 1920's, walter shewhart developeda process using probability and variation theorems to increase the level http://www.brunel.ac.uk/research/qi/spc/home.html

Statistical Process Control Improvement is a never-ending cycle. Even a superior product or service can be improved on. Statistical Process Control, SPC for short, is a tool that businesses and industries use to achieve quality in their products and/or services. Universally, businesses and industries use mathematics and statistical measurements to solve problems. There is an increasing demand for managers and workers who understand and are able to apply Statistical Process Control methods. While working at Bell Telephone Laboratories in the 1920's, Walter Shewhart developed a process using probability and variation theorems to increase the level of quality in the manufacturing process. He developed a method, called a control chart, of monitoring each process. By careful analysis of these charts, workers could detect and prevent many defects. More emphasis was put on specialization of areas. Though most companies continued with mass inspection, some companies changed, and gave more control to the worker. The need for mass inspection was eliminated. Each worker inspected his or her process and made changes as needed. This method gave workers better control over their process so that time, energy, and money was saved by eliminating scrap. Because the workers were given more responsibility and power, they took more pride in their work.

66. Quality For Business Reducing Variability walter shewhart. The idea of control as applied to variation was developedin the 1920s by walter shewhart in the Bell Telephone Laboratories. http://www.thedecalogue.com/Papers/thevoice.htm

Articles The Voice of the Process The aim of this article is to try and clarify what the prerequisites are for building Quality (with a capital Q). The first step is to understand what variation is. Once we have an understanding, we can recognize how the two approaches to variation – conformance to specifications versus consistency of processes – are irreconcilable. Quality means ( ) “On Target with Minimum Variance.” Walter Shewhart At the end of the eighteenth century, the fundamental problem the industrial revolution had to deal with was producing identical parts. This problem was (and still is) the source of enormous difficulties. We all know that no two things are exactly alike, so manufacturers had to settle for making things that were “similar enough”. The concept of “specification” thus arose from the need to define how similar two things had to be so they could be categorized as “good” (within specs) and “bad” (out of specs and therefore to be scrapped.) This distinction did not help manufacturers to make more parts within specs, nor did it help them understand the reason for non-conformities. The only thing this method allowed them to do was separate the wheat from the chaff at the end of the production line. The production process was more or less what you can see in figure 1.

67. Biography-center - Letter S Sherrington, Sir Charles Scott www.whonamedit.com/doctor.cfm/2266.html; shewhart,walter wwwhistory.mcs.st-and.ac.uk/~history/Mathematicians/shewhart.html; http://www.biography-center.com/s.html

Visit a random biography ! Any language Arabic Bulgarian Catalan Chinese (Simplified) Chinese (Traditional) Croatian Czech Danish Dutch English Estonian Finnish French German Greek Hebrew Hungarian Icelandic Indonesian Italian Japanese Korean Latvian Lithuanian Norwegian Polish Portuguese Romanian Russian Serbian Slovak Slovenian Spanish Swedish Turkish S 930 biographies Sa, Zitkala www.ipl.org/div/natam/bin/browse.pl/A91 Sa, Zitkala voices.cla.umn.edu/authors/GertrudeSimmonsBonnin.html Saarikoski, Pentti www.kirjasto.sci.fi/psaariko.htm Sabatier, Paul www.nobel.se/chemistry/laureates/1912/sabatier-bio.html Sabin, Florence library.thinkquest.org/20117/sabin.html Saccheri, Giovanni www-history.mcs.st-and.ac.uk/~history/Mathematicians/Saccheri.html Sacchi, Andrea www.kfki.hu/~arthp/bio/s/sacchi/biograph.html Sacchi, Andrea www.getty.edu/art/collections/bio/a3459-1.html Sachs, Bernard www.whonamedit.com/doctor.cfm/403.html Sachs, Hans www.whonamedit.com/doctor.cfm/1835.html Sachs, Nelly www.nobel.se/literature/laureates/1966/sachs-autobio.html Sacks, Oliver www.oliversacks.com/aboutpages/aboutfrm.htm Sacrobosco, Johannes de

68. AD HOC BIBLIO - INDEX AUTEURS LETTRE S Compilé Le 00/12/13 m; shewhart, walter A . Statistical method from the viewpoint of qualitycontrol. Les fondements de la m m; Shiaty, AE Dictionnaire http://sci.agr.ca/sthyacinthe/biblio/i/mia1s.htm

69. IE T 215 Syllabus shewhart, walter, Economic Control of Quality of Manufactures Product, AmericanSociety for Quality Shingo, Shigeo, A Study of the Toyota Production System http://www.yk.psu.edu/~dec147/iet215/syllabus.htm

70. PDCA reference 1. 4. walter shewhart The Godfather of Total QualityManagement, www.pathmaker.com/resources/leaders/shewart.asp. 5 http://www.toledo-asq.org/PDCA.htm

//Top Navigational Bar III v3.4.1 (By BrotherCake @ cake@brothercake.net) //Permission granted/modified by Dynamicdrive.com to include script in archive //For this and 100's more DHTML scripts, visit http://www.dynamicdrive.com Section 1006 By-Laws Refresher Course Roster ... Dinner Meeting PDCA Cycle Re-Printed from Quality Progress May The Benefits of PDCA Use this cycle for continual process improvement by Corinne N. Johnson, editorial assistant The plan-do-check-act (PDCA) cycle is a well-known model for continual process improvement (CPI). It teaches organizations to plan an action, do it, check to see how it conforms to the plan and act on what has been learned. The PDCA cycle is made up of four steps for improvement or change ( see Figure 1) 1. Plan: Recognize an opportunity, and plan the change. 2. Do: Test the change. 3. Check: Review the test, analyze the results and identify learnings. 4. Act: Take action based on what you learned in the check step. If the change was successful, incorporate the learnings from the test into wider changes. If not, go through the cycle again with a different plan. A brief history The PDCA cycle is also known by two other names, the Shewhart cycle and the Deming cycle.

71. TQM 401 Virtual Course Pack It is time to adopt a new philosophy in America. . Deming based much of his workon earlier work done by walter shewhart on statistical quality control (SQC). http://www.mazur.net/tqm/tqmintro.htm

This site has moved to www.mazur.net/tqm/ . Please wait 5 seconds for your screen to refresh. © 1993-2003 Glenn H. Mazur. Comments may be addressed to glenn@mazur.net

72. Milestones: Section 7. 1900-1949 PIC walter shewhart portrait (82 x 109; 5K) TXT Collection of web sites onshewhart 1926 Experimental test of statistical graphical forms (pie vs. http://www.math.yorku.ca/SCS/Gallery/milestone/sec7.html

Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization Left: Rosele's time series graphs of tuberculosis (Source: R. Ostermann) Middle: Neurath ISOTYPE symbols Right: Henderson's nomogram of chemical concentrations in blood (Source: Hankins) Up Introduction References Related ... Pre-1600 1900-1949: Modern Dark Ages If the early 1800s were the ``golden age'' of statistical graphics and thematic cartography, the early 1900s could be called the ``modern dark ages'' of visualization [ There were few graphical innovations, and, by the mid-1930s, the enthusiasm for visualization which characterized the late 1800s had been supplanted by the rise of quantification and formal, often statistical, models in the social sciences. Numbers, parameter estimates, and, especially, standard errors were precise. Pictures were- well, just pictures: pretty or evocative, perhaps, but incapable of stating a ``fact'' to three or more decimals. Or so it seemed to statisticians. But it is equally fair to view this as a time of necessary dormancy, application, and popularization, rather than one of innovation. In this period statistical graphics became ``main stream.'' It entered textbooks, the curriculum, and standard use in government, commerce and science. In this period graphical methods were used, perhaps for the first time, to provide new insights, discoveries, and theories in astronomy, physics, biology, and other sciences. As well, experimental comparisons of the efficacy of various graphics forms were begun, and a number of practical aids to graphing were developed. In the latter part of this period, new ideas and methods for multi-dimensional data in statistics and psychology would provide the impetus to look beyond the 2D plane.

73. Tutorial Program For EWMA QC Chart Control chart. Although walter shewhart developed the statistical control chart in1924, it is often referred to as LeveyJennings chart in clinical chemistry. http://www.multiqc.com/shewhart.htm

Tutorial program for the Shewhart control chart Control chart Although Walter Shewhart developed the statistical control chart in 1924, it is often referred to as Levey-Jennings chart in clinical chemistry. This tutorial software demonstrates how to build and use such a QC chart. Program You may play around in the program: Change the control limits (2 in-control ARLs available). Create a bias in the QC data. Increase the coefficient of variation of QC data to simulate a decrease of precision. Change the speed of the animation. And see how many out-of-control red points appear on the charts or read the observed average run length (ARL). You may use this program freely . It is particularly suited for teaching QC through a video projector. Downloading This tutorial works with Windows 95/98/NT4/2K/ME/XP (There is no Mac version). To download the tutorial program, click on

74. Continuous Improvement W. Edwards Deming worked as walter shewhart's assistant and protégé andhelped further develop this radical approach to improving quality. http://www.lmu.ac.uk/lis/imgtserv/tools/contimp.htm

Continuous Improvement Continuous improvement is not a tool or technique as such - more a way of life (or at least a cultural approach to quality improvement) - and the concept of continuous improvement has to be set in the context of 'the quality movement'. 'Quality' as a business issue - in the way we know it now - arose with labour specialisation, mass production and automation techniques - techniques which moved away from the traditonal expert craftsman approach to quality. In the new world of 'factories' and mass production, quality was obtained by inspecting each part and passing only those that met specifications. This was true until 1931 when Walter A. Shewhart, a statistician at the Hawthorne plant at Western Electric published his book Economic Control of Quality of Manufactured Product (Van Nostrand, 1931). This book is the foundation of modern statistical process control (SPC) and provides the basis for the philosophy of total quality management or continuous process improvement for improving processes. With statistical process control, quality inspection of each individual part produced is no longer used - the process is monitored through sampling. Dependent on the results from the sample, adjustments are made to the process to ensure 'quality' production.

75. SurfStat.australia STATISTICAL INFERENCE. STATISTICAL CONTROL CHARTS. Common and SpecialCauses of Variation. walter shewhart. In the 1920's walter shewhart http://www.anu.edu.au/nceph/surfstat/surfstat-home/5-1-2.html

Surfstat. australia : an online text in introductory Statistics STATISTICAL INFERENCE STATISTICAL CONTROL CHARTS Common and Special Causes of Variation Walter Shewhart In the 1920's Walter Shewhart developed the idea of the control chart to help decide when the output of a process was part of " a stable system of chance causes", or whether there was an " assignable cause ". Shewhart viewed a stable system as one whose variation arose as the result of many small perturbations (which we call common cause variation ); for a stable process the observations could be described by a probability distribution - the system is said to be "in a state of statistical control", or simply, in control . An unusually large deviation suggested that the system had been disturbed and hence there was an assignable cause for the disturbance - the system is out of control , or unstable. W. Edwards Deming Deming substituted the term special cause for assignable cause. Deming said that uncovering special causes was the responsibility of the local work force (those who had day-to-day contact with the process). Common causes were part of the system. The system is the responsibility of management. If the common cause variation is too large, it is the responsibility of management to change the system. Deming, stated that 85% of the problems with processes were system problems; later he increased this to over 94%, based on his own experience. Some authors regard this sharp delineation between special causes and common causes, workforce responsibility and management responsibility, as overly simplistic. For example, when a special cause is signalled, and its cause found (rarely an easy task), the local workforce may not have the authority to fix up the problem. Nevertheless, the distinction between special and common causes of variability is a useful one, and the recognition of responsibility assignments to the workforce for sporadic problems and to management for system problems is generally sound.

76. 6.1.1. How Did Statistical Quality Control Begin? The concept of quality control in manufacturing was first advanced by walter shewhart,The first to apply the newly discovered statistical methods to the http://www.itl.nist.gov/div898/handbook/pmc/section1/pmc11.htm

Process or Product Monitoring and Control Introduction How did Statistical Quality Control Begin? Historical perspective Quality Control has been with us for a long time. How long? It is safe to say that when manufacturing began and competition accompanied manufacturing, consumers would compare and choose the most attractive product (barring a monopoly of course). If manufacturer A discovered that manufacturer B's profits soared, the former tried to improve his/her offerings, probably by improving the quality of the output, and/or lowering the price. Improvement of quality did not necessarily stop with the product - but also included the process used for making the product. The process was held in high esteem, as manifested by the medieval guilds of the Middle Ages. These guilds mandated long periods of training for apprentices, and those who were aiming to become master craftsmen had to demonstrate evidence of their ability. Such procedures were, in general, aimed at the maintenance and improvement of the quality of the process. In modern times we have professional societies, governmental regulatory bodies such as the Food and Drug Administration, factory inspection, etc., aimed at assuring the quality of products sold to consumers.

77. Qualité On Line Translate this page walter A. shewhart, Il est né en 1891 à New-Canton dans l'Illinois.Il devient Docteur en science à l'Université de Berkeley http://www.qualiteonline.com/fiches_et_dossiers/dossiers_thematiques/dossier_1/g

Walter A. SHEWHART Il est né en 1891 à New-Canton dans l'Illinois. Il devient Docteur en science à l'Université de Berkeley et entre en 1918 à Western Electric en tant qu'ingénieur sous les ordres du Dr Reginald Jones. En 1925 il est transféré à la direction technique des Bell Labs de Hawthorne Works vers Chicago où il devient ingénieur-statisticien et a pour but d'améliorer la qualité et la productivité. Il y perfectionnera sa théorie de la carte de contrôle. Il produit deux ouvrages sur ce sujet en 1931 et en 1939. Entre 1935 et 1944 il est conseiller du ministre de la Guerre, son rôle est d'améliorer la fiabilité des armements. Sa carrière se termine par des collaborations diverses, notamment avec les universités de Harvard, Princeton, et Rutgers. Il préside l'Institut de Statistiques Mathématiques et l'Association Américaine de Statistiques. Il décède en 1968.

78. AT&T Labs -- Research: Statistics Research, Home Page Statistical research.Category Science Math Statistics Companies...... Our tradition of doing worldclass, fundamental research in statisticsgoes back to people like walter shewhart and John Tukey. http://www.research.att.com/areas/stat/

Statistics Research What's new Research Work environment Job openings Our People PICTURE WALL Deepak Agarwal Rick Becker Bob Bell ... Walter Willinger Address: Florham Park Secretarial assistant: Marcia Hoppe , Email: mhoppe@research.att.com Recent Events Daryl Pregibon and Bill Dumouchel won a Best Paper Award at KDD2001. Daryl Pregibon Corinna Cortes Daryl Pregibon and Corinna Cortes Best Paper Award at KDD2000. Colin Mallows Andreas Buja was Editor of the ``Journal of Computational and Graphical Statistics'' for a three year term 1998-2000. David Scott (Rice U.) succeeded him in October 2000. Rick Becker Colin Mallows was the 1997 Fisher Lecturer at the Joint Annual Meetings. Our research Our work covers a broad spectrum of research in statistical theory, methodology and computing. See a partial list of ongoing research projects See our history page for information about a research tradition in statistics that goes back to Shewhart and Tukey. One piece provides services: long distance voice and data, wireless communication services, Internet, etc. It inherits the brand.

79. Citation 2541. 6 shewhart, walter A., The Economic Control of Quality of Manufactured Product,D. Van Nostrand Company, New York, 1931, reprinted by ASQC Quality Press http://portal.acm.org/citation.cfm?id=257717&dl=ACM&coll=portal&CFID=11111111&CF

80. Glossary Of Manufacturing: Page 'S' Of A Glossary Describing 1500 Terms Encounte shewhart, walter (1891 1967) The originator of statistical processcontrol in 1924 at Bell Telephone Laboratories, NJ. Shipping http://www.glossaryofmanufacturing.com/s.html

S see SSSSS see Sales and Operations Planning S Curve see below SAB: Starting available balance , a term sometimes used in materials planning to mean what it says. Safety Stock: see Stock (Safety) Safety Time: (1) one meaning is the duration of time that materials are planned to arrive before their need date - for example, a safety time of 5 days might be placed on a raw material required date, hopefully to make sure the material really will be available when it is needed. The concept of safety time is rightly looked down on by companies that pride themselves on OTIF deliveries. (2) the length of time it is estimated that safety stock will last. Sale of Goods Act 1893: Towards the end of the month, the old master schedule must be replaced by a new one taking account of the passage of time, new sales forecasts and other revised facts and figures. Formulation of the new master schedule takes place in two stages. Stage I is referred to as The Manufacturing Manager , Section 6.3

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