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Quality Engineering:     more books (100)

Quality and Reliability in Engineering by Tirupathi R. Chandrupatla, 2009-01-12 Electric Power Distribution Reliability, Second Edition (Power Engineering (Willis)) by Richard E. Brown, 2008-09-09 Handbook of Reliability Engineering and Management by W. Ireson, Clyde Coombs, et all 1995-12-01 TQM Engineering Handbook (Quality and Reliability) by D.H. Stamatis, 1997-06-26 Manufacturing Engineering (Manufacturing Engineering and Materials Processing) by John P. Tanner, 1990-12-18 Juran's Quality Handbook: The Complete Guide to Performance Excellence 6/e by Joseph Defeo, J.M. Juran, 2010-05-19 Forensic Engineering Investigation by Randall K. Noon, 2000-10-25 Introduction to Statistical Quality Control by Douglas C. Montgomery, 2008-05-02 Quality Control (8th Edition) by Dale H. Besterfield, 2008-04-24 Quality Improvement Through Planned Experimentation by Ronald Moen, Thomas Nolan, et all 1998-09-08 Software Engineering: The Production of Quality Software by Shari Lawrence Pfleeger, 1991-03 Practical Reliability Engineering by Patrick O'Connor, 2002-07-09 Integrating Productivity and Quality Management (Industrial Engineering: A Series of Reference Books and Textboo) by Johnson Edosomwan, 1995-06-16 Handbook of Performability Engineering

lists with details

81. Quality Engineering Manager
    The American Society for Precision Engineering (ASPE) is a multidisciplinarytechnical society whose goal is to emphasize research, design, development,  
    http://www.aspe.net/employment/jobs/qem.html

82. Software Quality Engineering
    The prime purpose of Software quality engineering research is to specify and testeffective procedures for software quality engineering.  
    http://www.cs.utexas.edu/users/ethics/SoftwareStandards/sub/SQE.html
    
    Extractions: Quality and productivity of software are the most important issues in the software industry today. The prime purpose of Software Quality Engineering research is to specify and test effective procedures for software quality engineering. Methods and tools for rigourous determination of the quality of software and the productivity of the software process are investigated in order to develop mission focused improvement procedures. A Professional Group for SQE The IBM Systems Journal is a quarterly, refereed technical publication, featuring the work of authors from systems and software fields in information science and the computer industry. The papers are written for a technically aware readership in the software and systems professional community worldwide: technical professionals, researchers, and users Software Quality Journal

83. Six Sigma: Enterprise Improvement Strategies From Smarter Solutions, Inc. - Tech
    Articles meant to assist practitioners apply methods of Six Sigma statistical methods of quality engineering.  
    http://www.smartersolutions.com/articles.php
    
    Extractions: Articles Six Sigma tools can dramatically improve process yields and product quality if they are applied wisely. We hope that our articles help bridge the gap between the mechanics of tool utilization and wise applications. Many of these situations are described in more detail within our book, Implementing Six Sigma: Smarter Solutions using Statistical Methods , Forrest W. Breyfogle III, John Wiley and Sons, New York, NY, 1999 and during our training. XmR Control Charts and Data Normality , Forrest Breyfogle Golf Scores and Six Sigma Metrics: Confusion and Resolution, Part 2, by Forrest W. Breyfogle, III Golf Scores and Six Sigma Metrics: Confusion and Resolution by Forrest W. Breyfogle, III Integrated Enterprise Excellence: The Smarter Solutions Measurement Strategy , by Forrest W. Breyfogle, III Bottom-Line Success With Six Sigma by Forrest W. Breyfogle, III and Becki Meadows

84. Design Division Job Posting Archives
    quality engineering Program Manager reporting to the Sr. Manager of Quality, NWKSite Engineering. An individual in this role must be capable  
    http://design.stanford.edu/archive/0378.html

85. Science Jobs - Job Details - Quality Engineering Manager - Boston Scientific - M
    Free science career site for scientific job seekers listing biotechnology,pharmaceutical, and academic biology chemistry employment opportunities.  
    http://www.sciencejobs.com/list/ViewJob-bsci11562.html
    
    Extractions: procedures and controls ensuring that performance and quality of products conform to establish standards and agency guidelines to ensure lasting customer satisfaction. Reviews, analyzes and approves protocols and reports, engineering change requests, data analysis reports and other documents associated with product development and design controls, including formal design review meetings. Interfaces with research and development, engineering, customers, manufacturing operations, vendor and subcontractor representatives to determine responsibilities and solutions. May serve as liaison between the company and the various governmental agencies.

86. Science Jobs - Job Details - Manager, Imaging Quality Engineering - Boston Scien
    Free science career site for scientific job seekers listing biotechnology,pharmaceutical, and academic biology chemistry employment opportunities.  
    http://www.sciencejobs.com/list/ViewJob-bsci11578.html
    
    Extractions: Boston Scientific (NYSE: BSX) is a worldwide developer, manufacturer and marketer of medical devices with approximately 16,000 employees and revenue of $5.6 billion in 2004. For more than 25 years, Boston Scientific has advanced the practice of less-invasive medicine by providing a broad and deep portfolio of innovative products, technologies and services across a wide range of medical specialties. The Company's products help physicians and other medical professionals improve their patients' quality of life by providing alternatives to surgery. This position is responsible for providing focused Quality Engineering support for Capital Equipment Product Development, Manufacturing, and Post market Surveillance for the Intravascular Ultrasound product line. The incumbent will also ensure that all Capital Equipment products handled by the Equipment Service Business organization receive appropriate Quality Engineering support Organize and manage the activities of the Quality Assurance Engineering department to identify and meet the quality engineering needs for Imaging Capital Equipment and the quality engineering needs for all capital equipment products handled by the Service organization. Ensure that new product development, manufacturing, post market surveillance processes conform to BSC requirements and applicable ISO/EN standards, but also comply with FDA QSR, European MDD, and Japanese regulatory requirements.

87. Find Jobs - JobDetails
    quality engineering Manufacturing Floor Support, APQP Documentation and NPISupport, Method Sheet/QIP/Control Plan, Data Acquisition and Collection  
    http://executive.careerbuilder.com/JobSeeker/Jobs/JobDetails.aspx?IPath=JR&job_d

88. IV. SOFTWARE QUALITY ENGINEERING A. Concepts Software Quality
    D. A Software quality engineering Program The two software qualities which commandthe There are also tools that are useful for quality engineering.  
    http://satc.gsfc.nasa.gov/assure/agbsec4.txt
    
    Extractions: IV. SOFTWARE QUALITY ENGINEERING A. Concepts Software Quality Engineering (SQE) is a process that evaluates, assesses, and improves the quality of software. Software quality is often defined as the degree to which software meets requirements for reliability, maintainability, transportability, etc., as contrasted with functional, performance, and interface requirements that are satisfied as a result of software engineering. Quality must be built into a software product during its development to satisfy quality requirements established for it. SQE ensures that the process of incorporating quality in the software is done properly, and that the resulting software product meets the quality requirements. The degree of conformance to quality requirements usually must be determined by analysis, while functional requirements are demonstrated by testing. SQE performs a function complementary to software development engineering. Their common goal is to ensure that a safe, reliable, and quality engineered software product is developed. B. Software Qualities Qualities for which an SQE evaluation is to be done must first be selected and requirements set for them. Some commonly used qualities are reliability, maintainability, transportability, interoperability, testability, useability, reusability, traceability, sustainability, and efficiency. Some of the key ones are discussed below. 1. Reliability Hardware reliability is often defined in terms of the Mean- Time-To-Failure, or MTTF, of a given set of equipment. An analogous notion is useful for software, although the failure mechanisms are different and the mathematical predictions used for hardware have not yet been usefully applied to software. Software reliability is often defined as the extent to which a program can be expected to perform intended functions with required precision over a given period of time. Software reliability engineering is concerned with the detection and correction of errors in the software; even more, it is concerned with techniques to compensate for unknown software errors and for problems in the hardware and data environments in which the software must operate. 2. Maintainability Software maintainability is defined as the ease of finding and correcting errors in the software. It is analogous to the hardware quality of Mean-Time-To-Repair, or MTTR. While there is as yet no way to directly measure or predict software maintainability, there is a significant body of knowledge about software attributes that make software easier to maintain. These include modularity, self (internal) documentation, code readability, and structured coding techniques. These same attributes also improve sustainability, the ability to make improvements to the software. 3. Transportability Transportability is defined as the ease of transporting a given set of software to a new hardware and/or operating system environment. 4. Interoperability Software interoperability is the ability of two or more software systems to exchange information and to mutually use the exchanged information. 5. Efficiency Efficiency is the extent to which software uses minimum hardware resources to perform its functions. There are many other software qualities. Some of them will not be important to a specific software system, thus no activities will be performed to assess or improve them. Maximizing some qualities may cause others to be decreased. For example, increasing the efficiency of a piece of software may require writing parts of it in assembly language. This will decrease the transportability and maintainability of the software. C. Metrics Metrics are quantitative values, usually computed from the design or code, that measure the quality in question, or some attribute of the software related to the quality. Many metrics have been invented, and a number have been successfully used in specific environments, but none has gained widespread acceptance. D. A Software Quality Engineering Program The two software qualities which command the most attention are reliability and maintainability. Some practical programs and techniques have been developed to improve the reliability and maintainability of software, even if they are not measurable or predictable. The types of activities that might be included in an SQE program are described here in terms of these two qualities. These activities could be used as a model for the SQE activities for additional qualities. 1. Qualities and Attributes An initial step in laying out an SQE program is to select the qualities that are important in the context of the use of the software that is being developed. For example, the highest priority qualities for flight software are usually reliability and efficiency. If revised flight software can be up-linked during flight, maintainability may be of interest, but considerations like transportability will not drive the design or implementation. On the other hand, the use of science analysis software might require ease of change and maintainability, with reliability a concern and efficiency not a driver at all. After the software qualities are selected and ranked, specific attributes of the software that help to increase those qualities should be identified. For example, modularity is an attribute that tends to increase both reliability and maintainability. Modular software is designed to result in code that is apportioned into small, self-contained, functionally unique components or units. Modular code is easier to maintain, because the interactions between units of code are easily understood, and low level functions are contained in few units of code. Modular code is also more reliable, because it is easier to completely test a small, self contained unit. Not all software qualities are so simply related to measurable design and code attributes, and no quality is so simple that it can be easily measured. The idea is to select or devise measurable, analyzable, or testable design and code attributes that will increase the desired qualities. Attributes like information hiding, strength, cohesion, and coupling should be considered. 2. Quality Evaluations Once some decisions have been made about the quality objectives and software attributes, quality evaluations can be done. The intent in an evaluation is to measure the effectiveness of a standard or procedure in promoting the desired attributes of the software product. For example, the design and coding standards should undergo a quality evaluation. If modularity is desired, the standards should clearly say so and should set standards for the size of units or components. Since internal documentation is linked to maintainability, the documentation standards should be clear and require good internal documentation. Quality of designs and code should also be evaluated. This can be done as a part of the walkthrough or inspection process, or a quality audit can be done. In either case, the implementation is evaluated against the standard and against the evaluator's knowledge of good software engineering practices, and examples of poor quality in the product are identified for possible correction. 3. Nonconformance Analysis One very useful SQE activity is an analysis of a project's nonconformance records. The nonconformances should be analyzed for unexpectedly high numbers of events in specific sections or modules of code. If areas of code are found that have had an unusually high error count (assuming it is not because the code in question has been tested more thoroughly), then the code should be examined. The high error count may be due to poor quality code, an inappropriate design, or requirements that are not well understood or defined. In any case, the analysis may indicate changes and rework that can improve the reliability of the completed software. In addition to code problems, the analysis may also reveal software development or maintenance processes that allow or cause a high proportion of errors to be introduced into the software. If so, an evaluation of the procedures may lead to changes, or an audit may discover that the procedures are not being followed. 4. Fault Tolerance Engineering For software that must be of high reliability, a fault tolerance activity should be established. It should identify software which provides and accomplishes critical functions and requirements. For this software, the engineering activity should determine and develop techniques which will ensure that the needed reliability or fault tolerance will be attained. Some of the techniques that have been developed for high reliability environments include: Input data checking and error tolerance. For example, if out-of-range or missing input data can affect reliability, then sophisticated error checking and data interpolation/extrapolation schemes may significantly improve reliability. Proof of correctness. For limited amounts of code, formal "proof of correctness" methods may be able to demonstrate that no errors exist. N-Item voting. This is a design and implementation scheme where a number of independent sets of software and hardware operate on the same input. Some comparison (voting) scheme is used to determine which output to use. This is especially effective where subtle timing or hardware errors may be present. Independent development. In this scheme, one or more of the N-items are independently developed units of software. This helps prevent the simultaneous failure of all items due to a common coding error. E. Techniques and Tools Some of the useful fault-tolerance techniques are described under subsection D, above. Standard statistical techniques can be used to manipulate nonconformance data. In addition, there is considerable experimentation with the Failure Modes and Effects Analysis (FMEA) technique adapted from hardware reliability engineering. In particular, the FMEA can be used to identify failure modes or other assumable (hardware) system states which can then lead the quality engineer to an analysis of the software that controls the system as it assumes those states. There are also tools that are useful for quality engineering. They include system and software simulators, which allow the modeling of system behavior; dynamic analyzers, which detect the portions of the code that are used most intensively; software tools that are used to compute metrics from code or designs; and a host of special purpose tools that can, for example, detect all system calls to help decide on portability limits.

89. EQES - Welcome To EQES
    Quality Systems and many aspects of quality engineering support for Automotive and General Engineering Companies.  
    http://www.eqes.co.uk
    
    Extractions: EQES offers services relating to To find out more about Quality Standards and the ways in which EQES can help your business, please use the menu above to browse around the site. Engineering Quality Standards Find out about the help EQES can offer with the engineering quality standards Co-ordinate Measuring Machine (CMM) Programming Latest Virtual DMIS and PC DMIS systems. Learn more... Advanced Quality Planning EQES offers services relating to advanced quality planning , including: (C)2003 EQES Ltd. Site Design: E-Cat Partners

90. Quality Engineering & Inspection Home Page
    The quality engineering and Inspection Group provides inspection and testingservices to support the research and development divisions and environmental  
    http://www.ornl.gov/adm/oqpi/qsd_webpage/QMSI/eng inspections/ie.htm
    
    Extractions: The Quality Engineering and Inspection Group provides inspection and testing services to support the research and development divisions and environmental management projects. Specific services include: Safety Surveillance Inspection Safety Surveillance Inspection provides inspections of air filtration systems (portable and installed), air flow measurements, and inspection of respiratory protective equipment (respirators and cartridges). Support services include scheduling, status reporting, and records management. Respirators ; ANSI Z88.2 Receiving Inspection Receiving Inspection provides inspections of purchased materials and equipment for the purposes of assuring conformance to OSHA ANSI EPA ORNL Typical items include: Belts, Body Harness, Lanyards ; Coveralls, Anti-contamination Slings - Containers/Packaging (DOT);

91. MIT Department Of Civil And Environmental Engineering - MEng: Environmental And
    MEng Environmental and Water quality engineering Curriculum 1.77, Water QualityControl (may substitute 1.34 or 1.83 with permission)  
    http://cee.mit.edu/index.pl?iid=3620&isa=Category

92. MIT Department Of Civil And Environmental Engineering - MEng: Environmental And
    MEng Environmental and Water quality engineering Environmental engineeringstudents frequently travel to their sites to conduct field work during  
    http://cee.mit.edu/index.pl?id=3684&isa=Category&op=show

93. Sinclair Community College
    Associate in Applied Science Degree in quality engineering Technology. The Associateof Applied Science in quality engineering Technology program provides  
    http://www.sinclair.edu/academics/egr/departments/qet/programs/degree/qet/index.
    
    Extractions: This Area Entire Site QuickLinks Contact Us Course Schedule Campus Calendar About Sinclair FY05/06 Planning/Budgeting Academic Divisions College Without Walls Distance Learning Student Services Admissions Career Services Counseling Services Enrichment Center How-to-begin Administrative Offices Campus Departments Human Resources Job Opportunities Academic Centers Library Early Childhood Center Tartan Campus Store Tartan Card Technology Athletics Campus Organizations Staff Senate Phone Directory Academic Divisions Quality Engineering Technology Department Information Degree Programs ... Courses Associate in Applied Science Degree in Quality Engineering Technology The Associate of Applied Science in Quality Engineering Technology program provides students with the knowledge and skills necessary to understand the competitive pressures and customer demands of all producers of consumer and industrial products. It prepares students to apply the mathematics and basic laws of physics to the non-destructive testing of mechanical and electronic systems, develop quality improvement programs, employ reliability management techniques and apply systematic problem solving to the solution of technical problems. It includes planning, organizing, managing, measuring and analyzing product quality within any company. Graduates are qualified to employ statistical processes to solve quality problems within any manufacturing, industrial or service organization where improvement of quality performance is desired.

94. Course Catalog - Fall 2005 - CEE 437 - Water Quality Engineering
    Water quality engineering. Credit 3 hours. (CEE 342) Fundamental theory underlyingthe unit processes utilized in the treatment of water for domestic and  
    http://courses.uiuc.edu/catalog/CEE/437.html

95. Course Catalog - Fall 2005 - CEE 446 - Air Quality Engineering
    and applicationof chemical and physical principles related to air pollutants,Air quality engineering. Credit 3 hours. (CEE 349)  
    http://courses.uiuc.edu/catalog/CEE/446.html
    
    Extractions: (CEE 349) Description and application of chemical and physical principles related to air pollutants, aerosol mechanics, attenuation of light in the atmosphere, air quality regulation, generation of air pollutants, methods to remove gaseous and particulate pollutants from gas streams, and atmospheric dispersion. Prerequisite: CEE 330 ; credit or concurrent registration in TAM 335 Available Fall 2005

96. QUALITY AND RELIABILITY ENGINEERING
    The purpose of quality engineering is to measure and improve process control to The Graduate Certificate in Quality and Reliability Engineering is  
    http://www.rh.edu/news/news00/qe02.html
    
    Extractions: The Department of Engineering at Rensselaer at Hartford now offers a new Graduate Certificate in Quality and Reliability Engineering integrating technical skills with business knowledge. The production of reliable products requires processes operating under control. The purpose of quality engineering is to measure and improve process control to increase the reliability of products and services. The Graduate Certificate in Quality and Reliability Engineering is designed to develop skills in the application of quality engineering principles to enhance the performance of industrial and business systems. The program consists of three 3-credit-hour courses which are available via distance delivery. Credit from the all courses can later be applied towards a Master's degree. Required Courses DSES-6110 Introduction to Applied Statistics. A graduate course in basic statistics. It stresses application to common tasks such as summarizing large databases, making quick estimates, establishing relationships among variables, forecasting and evaluating alternatives. Topics include probability, common discrete and continuous distributions, sampling, confidence intervals, hypothesis tests, contingency tables, statistical process control and multiple regresion analysis. Extensive use of computers for the analysis of data sets. DSES-6170 Management of Quality Processes and Reliability.

97. Fraunhofer Chalmers Centre
    quality engineering. Sensitive product and production concepts often result inquality problems with delays in market introductions and lost revenue as a  
    http://www.fcc.chalmers.se/index.php?page=Kompetenser/Quality/quality&lang=en&mm

98. Quality Engineering Solutions Via Tools, Information And Outreach For The New Hi
    Title of the page quality engineering Solutions via Tools, Information andOutreach for the New Highlyenriched Offerings from W3C Evolving the Web in  
    http://db.cwi.nl/projecten/project.php4?prjnr=152

99. QualityEngineer
    Online quality engineering software package includes FMEA, Process Control Plan, 8D, gage management, complaint handling, PPM management and incoming inspection.  
    http://www.qualityengineer.hu

100. Innovative Quality Partners - A Professional Quality Consulting Group
     Innovative Quality Partners is a professional quality engineering consulting group providing turnkey Quality Management System solutions.  
     http://iq-partners.com
     
     Extractions: IQ-Partners is a professional quality engineering consulting group for turnkey quality projects that include assessments, analysis of current processes, documentation development, training and implementation, internal audits and registrar selection. We specialize in helping companies obtain the competitive advantage through the effective development and implementation of quality systems that comply with ISO 9000, AS 9000, TL 9000, QS 9000 and the software SEI CMM. Our professional staff has extensive experience with small, medium and large companies and a variety of business types. Our staff maintains their Registrar Accreditation Board (RAB) certifications for Lead Auditors, which provides invaluable experience for designing and developing quality management systems. You can benefit by using IQ-Partners to help interpret requirements, reduce rework, reduce implementation costs and reduce frustration.

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