24 February 2013

🔦Process Management: Six Sigma (Definitions)

"A disciplined approach to enterprise-wide quality improvement and variation reduction. Technically, it is the denominator of the capability (Cp) index." (Clyde M Creveling, "Six Sigma for Technical Processes: An Overview for R Executives, Technical Leaders, and Engineering Managers", 2006)

"A set of practices originally developed by Motorola to systematically improve process quality by producing output within specification." (Tilak Mitra et al, "SOA Governance", 2008)

"A statistical term meaning six standard deviations from the norm. Used as the name for a quality improvement program that aims at reducing errors to one in a million." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)

"1.Generally, a rigorous and disciplined statistical analysis methodology to measure and improve a company’s operational performance, practices and systems. 2.In many organizations, simply a measure of quality near perfection. 3.In data quality, a level of quality in which six standard deviations of a population fall within the upper and lower control limits of quality, allowing no more than 3.4 defects per million parts or transactions." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A methodology to manage process variations that cause defects, defined as unacceptable deviation from the mean or target, and to systematically work toward managing variation to prevent those defects." (Linda Volonino & Efraim Turban, "Information Technology for Management" 8th Ed, 2011)

"Quality program developed by Motorola that focuses on achieving a defect rate of fewer than 3.4 defects per million items. (196, 238)" (Leslie G Eldenburg & Susan K Wolcott, "Cost Management" 2nd Ed., 2011)

"A systematic quality improvement process used on both the production and transactional sides of the business to design, manufacture, and market goods and services that customers may desire to purchase." (Joan C Dessinger, "Fundamentals of Performance Improvement" 3rd Ed., 2012)

"A highly structured approach for eliminating defects in any process, whether from manufacturing or transactional processes. It can be applied to a product or a service–oriented process in any organization." (Robert F Smallwood, "Managing Electronic Records: Methods, Best Practices, and Technologies", 2013)

"A business management strategy originally developed by Motorola in the 1980s. It is essentially a business problem-solving methodology that supports process improvements through an understanding of customer needs, identification of causes of quality variations, and disciplined use of data and statistical analysis." (Sally-Anne Pitt, "Internal Audit Quality", 2014)

"An approach from the production environment for managing quality that targets a mere 3.4 errors per million instances as its performance goal." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"Business management strategy developed by Motorola with the goal of improving business processes." (Adam Gordon, "Official (ISC)2 Guide to the CISSP CBK" 4th Ed., 2015)

"The initiative focused on increasing profits by eliminating variability, defects, and wastes that weaken customer loyalty." (Kijpokin Kasemsap, "Applying Lean Production and Six Sigma in Global Operations", 2016)

"It is series of tools and/or processes to continuously improve workflow processes through its proper measurement. Six sigma is a highly structured and data-driven approach and methodology for reducing waste or non-value added activities and associated costs." (Alan D Smith, "Lean Principles and Optimizing Flow: Interdisciplinary Case Studies of Best Business Practices", 2019)

"Managerial approach focused on a team that aims to improve performance by eliminating waste and defects. Improving performance and reducing process variation leads to the reduction of defects and improved profit, employee morale and product/service quality." (Sorinel Căpușneanu et al, "Throughput Accounting: Decisional Informational Support for Optimizing Entity Profit", 2019)


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IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.