Relevant bibliographies by topics / Quality performance measurement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quality performance measurement'

Author: Grafiati
Published: 18 May 2024

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Journal articles on the topic "Quality performance measurement"

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Glance, Laurent G., Yue Li, and Andrew W. Dick. "Quality of Quality Measurement." Anesthesiology 125, no. 6 (December 1, 2016): 1092–102. http://dx.doi.org/10.1097/aln.0000000000001362.

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Abstract Background The validity of basing healthcare reimbursement policy on pay-for-performance is grounded in the accuracy of performance measurement. Methods Monte Carlo simulation was used to examine the accuracy of performance profiling as a function of statistical methodology, case volume, and the extent to which hospital or physician performance deviates from the average. Results There is extensive variation in the true-positive rate and false discovery rate as a function of model specification, hospital quality, and hospital case volume. Hierarchical and nonhierarchical modeling are both highly accurate at very high case volumes for very low-quality hospitals. At equivalent case volumes and hospital effect sizes, the true-positive rate is higher for nonhierarchical modeling than for hierarchical modeling, but the false discovery rate is generally much lower for hierarchical modeling than for nonhierarchical modeling. At low hospital case volumes (200) that are typical for many procedures, and for hospitals with twice the rate of death or major complications for patients undergoing isolated coronary artery bypass graft surgery at the average hospital, hierarchical modeling missed 90.6% of low-quality hospitals, whereas nonhierarchical modeling missed 65.3%. However, at low case volumes, 38.9% of hospitals classified as low-quality outliers using nonhierarchical modeling were actually average quality, compared to 5.3% using hierarchical modeling. Conclusions Nonhierarchical modeling frequently misclassified average-quality hospitals as low quality. Hierarchical modeling commonly misclassified low-quality hospitals as average. Assuming that the consequences of misclassifying an average-quality hospital as low quality outweigh the consequences of misclassifying a low-quality hospital as average, hierarchical modeling may be the better choice for quality measurement.
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De Toni, A., G. Nassimbeni, and S. Tonchia. "An instrument for quality performance measurement." International Journal of Production Economics 38, no. 2-3 (March 1995): 199–207. http://dx.doi.org/10.1016/0925-5273(94)00093-p.

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Lee, Jay S., and Hari Nathan. "Quality Measurement and Pay for Performance." Surgical Oncology Clinics of North America 27, no. 4 (October 2018): 621–32. http://dx.doi.org/10.1016/j.soc.2018.05.003.

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Hocking, Roland W. D., and Shahed Power. "Environmental performance: Quality, measurement and improvement." Business Strategy and the Environment 2, no. 4 (1993): 19–24. http://dx.doi.org/10.1002/bse.3280020403.

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Alrashedi, Omar Mohammed A., Adil Mohammad Almaqati, Majed abdulaziz bin hassan, Khaled eid alotaibi, Saad Abdulazez Alabodi, Thamer Dawas Aldajani, Meshal Suwailem Alotaibi, Nasser Ali Al Abdullah, and Mustafa Saleh Mohammad Alsaad. "A Measurement of the Quality of Health Care Based on Its Performance." International Journal Of Pharmaceutical And Bio-Medical Science 02, no. 12 (December 16, 2022): 639–45. http://dx.doi.org/10.47191/ijpbms/v2-i12-10.

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Background: In recent years, the healthcare system has undergone rapid transformation. Nonetheless, a recent Quality and Patient Safety Report highlighted declining levels of patient safety and quality culture among healthcare professionals. This highlights the importance of assessing care quality and patient safety from the perspectives of both patients and healthcare professionals. Objectives: The purpose of this study was to investigate (1) patients' and healthcare professionals' perspectives on overall quality of care and patient safety standards at two tertiary hospitals, as well as (2) which demographic characteristics are related to overall quality of care and patient safety. Methods: A cross-sectional research design was used. The Revised Humane Caring Scale and the Healthcare Professional Core Competency Instrument were used to collect data on two items: overall quality of care and patient safety. Questionnaires were distributed to (1) patients (n = 600) and (2) healthcare professionals (nurses and physicians) (n = 246) in three departments (medical, surgical, and obstetrics and gynecology) at two tertiary hospitals between the end of 2018 and the beginning of 2019. The data was analyzed using descriptive statistics and binary logistic regression. Results: The questionnaires were completed by 367 patients and 140 healthcare professionals, representing response rates of 61.2% and 56.9%, respectively. Overall, healthcare professionals rated quality of care (M = 4.36; SD = 0.720) and patient safety (M = 4.39; SD = 0.675) slightly higher than patients (M = 4.23; SD = 0.706), (M = 4.22; SD = 0.709). The study found a link between hospital variables and overall quality of care (OR = 0.095; 95% CI = 0.016-0.551; p = 0.009) and patient safety (OR = 0.153; 95% CI = 0.027-0.854; p = 0.032) among healthcare professionals. Furthermore, an association was discovered between the admission/work area and the participants' perspectives on the quality of care (patients, OR = 0.257; 95% CI = 0.072-0.916; p = 0.036; professionals, OR = 0.093; 95% CI = 0.009-0.959; p = 0.046). Conclusions: Patients and healthcare professionals both rated the quality of care and patient safety as excellent, with only minor differences indicating a high level of patient satisfaction and competent healthcare delivery professionals. Such perspectives can offer valuable and complementary insights into how to improve the overall standards of healthcare delivery systems.
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Uyar, Ali. "Quality performance measurement practices in manufacturing companies." TQM Journal 21, no. 1 (January 9, 2009): 72–86. http://dx.doi.org/10.1108/17542730910924763.

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Jochem, Roland, Martin Menrath, and Katja Landgraf. "Implementing a quality‐based performance measurement system." TQM Journal 22, no. 4 (June 15, 2010): 410–22. http://dx.doi.org/10.1108/17542731011053334.

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Rezaei, A. R., T. Çelik, and Y. Baalousha. "Performance measurement in a quality management system." Scientia Iranica 18, no. 3 (June 2011): 742–52. http://dx.doi.org/10.1016/j.scient.2011.05.021.

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Smith, Keith, and Randolph James. "Performance measurement: Ten cues for quality improvement." Performance + Instruction 28, no. 1 (January 1989): 22–24. http://dx.doi.org/10.1002/pfi.4170280107.

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Berbekova, Adiyukh, A. George Assaf, and Muzaffer Uysal. "Frontier measurement for quality of life performance." Annals of Tourism Research 106 (May 2024): 103765. http://dx.doi.org/10.1016/j.annals.2024.103765.

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Dissertations / Theses on the topic "Quality performance measurement"

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Choisne, Franck R. (Franck Remi Didier) Carleton University Dissertation Management Studies. ""Performance measurement for total quality management."." Ottawa, 1994.

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MacDougall, James Clark. "Performance contracts and quality management : an integrated view." Thesis, University of Stirling, 1993. http://hdl.handle.net/1893/2148.

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There are many views about the meaning and importance of performance measurement of employees and of organizations. This thesis is concerned with many of these views but is most concerned with performance contracts and quality management and the relationship between them. The whole concept of the measurement of performance is sometimes questioned and in some cases regarded as being both subjective and futile. Van de Ven and Ferry (1980) argued that: "Whether the difficulties associated with assessing the performance of complex organizations can be met by a single set of measurement instruments and process guidelines has still to be proven." Glover and Kelly (1987) contended that measuring the performance of individual jobs can also be difficult: "Performance is hard or impossible to measure with many jobs and occupations, think for example of the differences between the work of architects, surgical appliance fitters, design engineers, criminals, politicians, street traders and musicians. There is often a conflict between volume and quantity of output in the long-term and the short-term such as when profits come before investment and vice-versa." Similarly, Van De Yen and Morgan (1980) argued with regard to organizational performance that: "Performance is a complex construct that reflects the criteria and standards used by decision makers to assess the functioning of an organization. As this definition suggests, performance is a value judgement on the results desired from the organization at different levels of analysis--and--often change over time." However, the demand for measurement of performance, whether it comes from the first level of supervision or from a shareholders' meeting, does tend to mean that attempts be made to measure performance (Talley, 1991).
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Bellingan, Werner. "Improving the service quality of a civil consulting engineering firm through benchmarking." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/743.

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The civil engineering industry in South Africa has seen a steady decline in the number of professionals during the last few decades, however it is expected that the government and private sectors are to spend over R200 billion on infrastructure in the next few years. This increases the demand on civil consulting engineering firms to achieve greater productivity, with reduced time and human resources, which has had a profound effect on the quality of service delivered to clients. These firms need to gain a competitive advantage by consistently providing Service Excellence, which is superior to their competitors. One way of achieving this is by benchmarking firms against their competitors. In this research paper the Service Quality and Service Recovery procedures of Company X in Port Elizabeth were benchmarked against its competitors using a customised form of the recognised SERVQUAL research instrument - the SERVPERF questionnaire. The results proved to be invaluable because the survey revealed insightful information which can be used to their strategic benefit. Civil consulting engineering firms need to be aware that Service Excellence is an imperative in the service industry, but do not necessarily have to be perfect. Firms simply need to outperform their competitors to be rated as market leaders. Strategies to improve the Service Quality and Service Recovery of the firm under review are suggested and this work concludes with suggestions for future research projects, which may be beneficial to the researcher, the civil engineering industry and the economy of South Africa.
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Espinoza, Omar A. "Quality Measurement in the Wood Products Supply Chain." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/37791.

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The purpose of this research is to learn about quality measurement practices in a wood products supply chain. According to the Supply Chain Management paradigm, companies no longer compete as individual entities, but as part of complex networks of suppliers and customers, linked together by flows of materials and information. Evidence suggests that a high degree of integration between supply chain members is essential to achieve superior market and financial performance. This study investigates the potential benefits from adopting supply chain quality management practices, focusing specifically on quality measurement. A case-study was conducted to accomplish the objectives of the research. An exemplary wood products supply chain was studied in great detail. The current state was compared with best practices, as reported in the literature. Supply chain quality metrics were used to assess current performance and a simulation model was developed to estimate the impact of changes in significant factors affecting quality, such as production volume, on the supply chainâ s quality performance. Quality measurement practices in the supply chain of study are described in detail in this dissertation. A high degree of internal integration was observed in the focal company, attributed in great part to the leadership of management, which formulates comprehensive quality planning, specifying quality measurement practices and goals. These practices provide the company with a competitive advantage, and have undoubtedly contributed to its relatively strong market share and financial performance. Significant improvements in defect rate and on-time performance at all levels in the supply chain have been achieved in great part thanks to current initiatives. There is room for improvement, however, regarding external integration; the supply chain of study could benefit from more information sharing with its external suppliers and increasing its supplier development efforts. There is also a lack of true measures of supply chain quality performance that could facilitate tracing variances back to their origin upstream the supply chain. Supply chain metrics must reflect the contribution of each supply chain member to the overall performance, and span the entire supply chain. This is the first study that looks in depth at quality measurement practices from a supply chain perspective. It is also one of very few studies of supply chain management applied to the wood products industry. Examples are presented of how a supply chain performance measurement system can be developed. Results from this research show that it is important to adopt a supply chain perspective when designing a performance measurement system, not least to avoid sub-optimization. Poor quality at any point in the supply chain eventually translates into higher prices for the final customer, is detrimental to customer dissatisfaction, and hurts profitability; with the end result of declining competitiveness of the entire system.
Ph. D.
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Turner, Jeffrey L. "A correlation between quality management metrics and technical performance measurement." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion.exe/07Mar%5FTurner.pdf.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, March 2007.
Thesis Advisor(s): John Osmundson, J. Bret Michael. "March 2007." Includes bibliographical references (p.129-130). Also available in print.
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Axelsson, Mattias, and Johan Sonesson. "Business Process Performance Measurement for Rollout Success." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2920.

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Business process improvement for increased product quality is of continuous importance in the software industry. Quality managers in this sector need effective, hands-on tools for decision-making in engineering projects and for rapidly spotting key improvement areas. Measurement programs are a widespread approach for introducing quality improvement in software processes, yet employing all-embracing state-of-the art quality assurance models is labor intensive. Unfortunately, these do not primarily focus on measures, revealing a need for an instant and straightforward technique for identifying and defining measures in projects without resources or need for entire measurement programs. This thesis explores and compares prevailing quality assurance models using measures, rendering the Measurement Discovery Process constructed from selected parts of the PSM and GQM techniques. The composed process is applied to an industrial project with the given prerequisites, providing a set of measures that are subsequently evaluated. In addition, the application gives foundation for analysis of the Measurement Discovery Process. The application and analysis of the process show its general applicability to projects with similar constraints as well as the importance of formal target processes and exhaustive project domain knowledge among measurement implementers. Even though the Measurement Discovery Process is subject to future refinement, it is clearly a step towards rapid delivery of tangible business performance indicators for process improvement.
Vikten av förbättringar i affärsprocesser i syfte att öka produktkvaliteten i mjukvaruindustrin ökar stadigt. Kvalitetsansvariga i industrin behöver effektiva och påtagliga verktyg för beslutsfattande i utvecklingsprojekt och för lokalisering av förbättringsområden. Mätningsprogram är en utbredd ansats för kvalitetsförbättring i mjukvaruprocesser men användning av heltäckande kvalitetsmodeller är resurskrävande. Dessa fokuserar inte primärt på mätpunkter vilket blottar behovet av en snabb och direkt teknik för identifiering och definiering av mätpunkter i projekt som saknar resurser eller behov av heltäckande mätningsprogram. Denna uppsats undersöker och jämför rådande kvalitetssäkringsmodeller med mätpunkter, vilket resulterar i Measurement Discovery Process utifrån valda delar av PSM- och GQM-modellerna. Processen appliceras på ett industriellt projekt med nämnda förutsättningar, vilket skapar en uppsättning mätpunkter som sedan utvärderas. Detta ligger även till grund för utvärdering av Measurement Discovery Process. Appliceringen och utvärderingen av processen synliggör dess generella applicerbarhet på projekt med liknande begränsningar såväl som vikten av formella processer i målprojektet och omfattande domänkunskap hos de som implementerar mätningarna. Measurement Discovery Process är föremål för framtida förbättringar men samtidigt ett tydligt steg mot snabbt framtagande av konkreta prestandamått för kvalitetsförbättring i affärsprocesser.
Mattias Axelsson: +46 708 67 53 81 Johan Sonesson: +46 709 72 74 30 / +46 40 12 48 03
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Hamali, Jamil. "Quality management systems and performance measurement in a public sector organisation." Thesis, University of Salford, 1999. http://usir.salford.ac.uk/14762/.

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Two of the most important issues concerning public sector organisations (PSO) all over the world today is the need to reduce their operating cost whilst at the same time they are required to improve their services. Most countries of the world are looking at quality management, competition and performance measurement as elements that they could explore to achieve the objective of reducing cost and increasing public satisfaction with the services offered. The local authority in Britain is one of the most heavily targeted public sector organisations to be subjected to competition. Compulsory Competitive Tendering (CCT) was introduced by law to ensure local authorities embrace competition. In response to this regulation, the majority of the local authorities adopted a quality management system in order to cope with competition. Associated with the quality initiatives and competition is the legal requirement for local government in Britain to publish in the local newspapers their performance on a set of indicators determined by the central government. The aim of this research was to explore and describe the link between quality management and performance in a PSO . A case study investigating two departments consisting of engineers, surveyors and architects at Salford City Council, Manchester was conducted to determine the effect of quality management system (QMS) and competition and the nature of performance measurement undertaken in a P SO. The research findings indicate that there was no structured system that monitors performance of the organisation. The research also highlights that the performance of a city council in general was determined by a simple set of indicators. It was also found that the implementations of QMS in a PSO needs to incorporate features that can detect how well the departments are improving due to practising the system.
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Basic, Selma. "Developing process quality measurement in shipbuilding industry." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18887.

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This thesis investigates the possibility to adapt Overall Equipment Effectiveness (OEE), tothe development process in the shipbuilding industry.More specifically the development process wasdelimited to the phases; design, work preparation, production and verification.Ordinarily, OEE is a performance measurement for mass production. Itincludes aquality parameter which has been the focus of this thesis. Both literature review and case study investigation show that process quality is of critical importance in the shipbuilding industry because of the needs for dimensional accuracy and high-quality assemblage.The three main factors affecting process quality are;the flow of information between engineering phaseand productionphase, and the amount of rework and delays. The factors wereevaluated along an optimization method with a specific attention to process quality. Acase studywas conductedto confirm the relevance of the literature review on factors affecting process qualityand allowedto gather factors in process quality that are relevant to the industry.In light of those results, I re-developed a model providingnew measurement of what I call OPQE (Overall Process Quality Efficiency).This study contributes to a betterunderstanding of process quality in ETO(Engineering-To-Order)industries. Notably it shows how deviations that require rework and causesdelays are impacting process quality. It also shows that detecting errors early in the process of production is essential for insuring quality control. An error detected late affects negatively process quality and increases cost.
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Sherikar, Amruth, Suresh Jange, and S. L. Sangam. "Performance measurement of quality services in academic and research libraries in India." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/105669.

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A National Assessment and Accreditation Council (NAAC) has been established in India for quality and excellence in higher education. NAAC has developed set of objective indicators for the library, as it is the fulcrum of support for the community of academic and research pursuits. This has resulted in a general consensus for rising demands for evaluation and accountability of academic and research librar-ies to develop performance evaluation and measure service quality. For this study, a total of 1200 questionnaires were distributed to the user community of ten university libraries of Karnataka, India, of which 768 (64%) were duly received from students, research scholars and faculty members. The quality dimensions in the light of SERVQUAL viz., Reliability, Responsiveness, Assurance, Access, Communication, Tangibles, Empathy and Security have been applied and the results indicate that the service quality dimensions of reliability, responsiveness, assurance, access, communication and tangibles applied to university libraries in Karnataka are found to be satisfactory to a little extent based on the scale techniques. The study suggests several areas for future research and for collaboration among li-brary managers, educational administrators, scholars and measurement theorists towards improving the performance of library and information system in India to meet the high standards of service quality in libraries to serve the users with utmost care and diligence.
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Najmi, Manoochehr. "An integrated framework for post-ISO 9000 quality development within manufacturing organisations." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366401.

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Books on the topic "Quality performance measurement"

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1957-, Boekhorst Peter te, ed. Measuring quality: Performance measurement in libraries. 2nd ed. München: K.G. Saur, 2007.

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Institute of Medicine (U.S.). Committee on Redesigning Health Insurance Performance Measures, Payment, and Performance Improvement Programs., ed. Performance measurement: Accelerating improvement. Washington, D.C: National Academies Press, 2006.

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Cain, Clive Thomas. Performance measurement for construction profitability. Oxford, UK: Blackwell Publishing Ltd., 2004.

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Inc, Joint Commission Resources, ed. Overcoming performance measurement challenges for hospitals. Oakbrook Terrace, Ill: Joint Commission Resources, 2005.

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Essentials of Corporate Performance Measurement. New York: John Wiley & Sons, Ltd., 2002.

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International Performance Measurement & Verification Protocol Committee, United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy, and National Renewable Energy Laboratory (U.S.), eds. International performance measurement & verification protocol. [Washington, D.C.]: Office of Energy Efficiency and Renewable Energy, U.S. Dept. of Energy, 2001.

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International Performance Measurement & Verification Protocol Committee., United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy., and National Renewable Energy Laboratory (U.S.), eds. International performance measurement & verification protocol. [Washington, D.C: U.S. Dept. of Energy, Office of Energy Efficiency and Renewable Energy], 2003.

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International Performance Measurement & Verification Protocol Committee., United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy., and National Renewable Energy Laboratory (U.S.), eds. International performance measurement & verification protocol. [Washington, D.C: U.S. Dept. of Energy, Office of Energy Efficiency and Renewable Energy], 2002.

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Schleifer, Lydia L. F. 1955- and Plewa Franklin James 1949-, eds. Essentials of corporate performance measurement. New York: Wiley, 2002.

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George, Harris. Managing supplier performance: Measurement, quality improvement, and certification. [New York, N.Y.?]: American Management Association, 1997.

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Book chapters on the topic "Quality performance measurement"

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Spenley, Paul. "Measurement." In World Class Performance Through Total Quality, 76–84. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3484-6_7.

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Oakland, John S., Robert J. Oakland, and Michael A. Turner. "Performance measurement frameworks." In Total Quality Management and Operational Excellence, 121–56. Fifth edition. | Milton Park, Abingdon, Oxon; New York, NY: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781315561974-10.

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Alseraihy, Amal, Waleed Rasheed, and Mahmoud Aljurf. "Performance Measurement." In Quality Management and Accreditation in Hematopoietic Stem Cell Transplantation and Cellular Therapy, 69–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64492-5_9.

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AbstractStem cell transplantation is a highly specialized and cost-driving service, operating at multiple levels of structures and processes, according to each program’s capacity and complexity of treated cases. Whether the focus of the program is to achieve excellence or to build a quality system or to comply with national or international accreditation, performance improvement and management can be challenging for the decision makers without objective customized performance measures for such complex medical care. The first part of this chapter provides the reader with a comprehensive review of performance measurement definitions, development, and working framework. The second part focuses on performance measurement in SCT program.
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Kehoe, Dennis F. "Quality costs and performance measurement." In The Fundamentals of Quality Management, 46–64. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0545-3_3.

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Ross, David Frederick. "Supply Chain Quality and Performance Measurement." In Competing Through Supply Chain Management, 247–88. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-4816-1_7.

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Fries, S. H. "A performance measurement concept for business process management." In Total Quality Management, 169–72. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0539-2_16.

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Wyon, David P. "Metrics and Methods (Performance Indicators, Methods, and Measurement)." In Handbook of Indoor Air Quality, 1371–96. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7680-2_61.

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Wyon, David P. "Metrics and Methods (Performance Indicators, Methods, and Measurement)." In Handbook of Indoor Air Quality, 1–26. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-5155-5_61-1.

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Zairi, Mohamed. "Quality policy deployment: the key driver for performance measurement." In Measuring Performance for Business Results, 108–25. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1302-1_9.

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Locatelli, Giorgio, and Mauro Mancini. "How Small Firms in the High Quality Food Sector Can Improve Their Business Performance: The Ligurian Oil Case Study." In Business Performance Measurement and Management, 89–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04800-5_6.

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Conference papers on the topic "Quality performance measurement"

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Ferreira, C., J. Gonçalves, H. Abreu, and H. Rohlfs. "A Revised Concept of Quality Performance Measurement." In AISTech2019. AIST, 2019. http://dx.doi.org/10.33313/377/277.

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Ku, Li-Chi, Hui-Lan Lee, and Min Chen. "A. Cross-Network Quality and Performance Measurement." In 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2021. http://dx.doi.org/10.1109/ispacs51563.2021.9650987.

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HUANG, MARIA, and JOHN KOTLANGER. "Barriers to performance measurement within the white collar environment." In 1st National Total Quality Management Symposium. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3228.

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Femine, Antonio Delle, Daniele Gallo, Carmine Landi, and Mario Luiso. "Performance Analysis of Power Quality Monitoring Instruments." In 2008 IEEE Instrumentation and Measurement Technology Conference - I2MTC 2008. IEEE, 2008. http://dx.doi.org/10.1109/imtc.2008.4547381.

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Quest, Juergen. "ETW - High quality test performance in cryogenic environment." In 21st Aerodynamic Measurement Technology and Ground Testing Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-2206.

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Mason, L. E. "Sampling of calibration system performance by measurement audits." In IEE Colloquium on `The Contribution of Instrument Calibration to Product Quality'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950544.

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Ballado, Fernando Trejo, Nayelli Ortega López, Rafael Ojeda Flores, Miguel A. Ávila-Rodríguez, Maria-Ester Brandan, Flora Herrera-Martinez, Veronica Ramírez-R., and Mercedes Rodriguez-Villafuerte. "Image Quality Performance Measurement of the microPET Focus 120." In ELEVENTH MEXICAN SYMPOSIUM ON MEDICAL PHYSICS. AIP, 2010. http://dx.doi.org/10.1063/1.3531592.

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Nor, Rozi Nor Haizan, Rose Alinda Alias, and Azizah Abdul Rahman. "The Performance Measurement Model for ICT Service Quality (ICTSQ)." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2811.

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Tonks, M. "Process re-engineering for effective performance measurement." In IEE Colloquium on `Setting Standards for Quality and Delivery in the Automotive Parts Industry'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950956.

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Staron, Miroslaw, Wilhelm Meding, Kent Niesel, and Alain Abran. "A Key Performance Indicator Quality Model and Its Industrial Evaluation." In 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2016. http://dx.doi.org/10.1109/iwsm-mensura.2016.033.

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Reports on the topic "Quality performance measurement"

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Wright, Jessica L. Measurement of Quality and Military Performance in the Army National Guard. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada328223.

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Guan, Haiying, Daniel Zhou, Jonathan Fiscus, John Garofolo, and James Horan. Evaluation infrastructure for the measurement of content-based video quality and video analytics performance. Gaithersburg, MD: National Institute of Standards and Technology, July 2017. http://dx.doi.org/10.6028/nist.ir.8187.

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IPMVP Committee. International Performance Measurement and Verification Protocol: Concepts and Practices for Improved Indoor Environmental Quality, Volume II. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/776181.

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Zirkel-Hofer, Annie, Stephen Perry, Sven Fahr, Korbinian Kramer, Anna Heimsath, Stephan Scholl, and Werner Platzer. Improved in situ performance testing of line-concentrating solar collectors: Comprehensive uncertainty analysis for the selection of measurement instrumentation. IEA SHC Task 55, October 2016. http://dx.doi.org/10.18777/ieashc-task55-2016-0001.

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Accurate and complete performance evaluation is playing a major role in the further development of concentrating solar collectors. To ensure dependable test results, an appropriate testing and evaluation procedure is required. Moreover, the selection and installation of suitable measurement instrumentation are essential for obtaining reliable data for the performance evaluation. The quality of the measurement instrumentation greatly influences the representativeness of the test results. Details on the measurement instrumentation recommended for the testing of low-temperature solar collectors have already been provided in the testing standard EN ISO 9806:2013.
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Kyllönen, Katriina, Karri Saarnio, Ulla Makkonen, and Heidi Hellén. Verification of the validity of air quality measurements related to the Directive 2004/107/EC in 2019-2020 (DIRME2019). Finnish Meteorological Institute, 2020. http://dx.doi.org/10.35614/isbn.9789523361256.

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This project summarizes the results from 2000–2020and evaluates the trueness andthequality control (QC) procedures of the ongoing polycyclic aromatic hydrocarbon (PAH)and trace element measurements in Finlandrelating to Air Quality (AQ) Directive 2004/107/EC. The evaluation was focused on benzo(a)pyrene and other PAH compounds as well as arsenic, cadmium and nickel in PM10and deposition. Additionally, it included lead and other metals in PM10and deposition, gaseous mercury and mercury deposition, andbriefly other specificAQ measurements such as volatile organic compounds (VOC)and PM2.5chemical composition. This project was conducted by the National Reference Laboratory on air quality and thiswas the first time these measurements were assessed. A major part of the project was field and laboratory audits of the ongoing PAH and metal measurements. Other measurements were briefly evaluated through interviews and available literature. In addition, the national AQ database, the expertise of local measurement networks and related publications were utilised. In total, all theseven measurement networks performing PAH and metal measurements in 2019–2020took part in the audits. Eleven stations were audited while these measurements are performed at 22 AQ stations in Finland. For the large networks, one station was chosen to represent the performance of the network. The audits included also six laboratories performing the analysis of the collected samples. The audits revealed the compliance of the measurements with the AQ Decree 113/2017, Directive 2004/107/EC and Standards of the European Committee for Standardization(CEN). In addition, general information of the measurements, instruments and quality control procedures were gained. The results of the laboratory audits were confidential,but this report includes general findings, and the measurement networks were informed on the audit results with the permission of the participating laboratories. As a conclusion, the measurementmethodsusedwere mainly reference methods. Currently, all sampling methods were reference methods; however, before 2018 three networks used other methods that may have underestimated concentrations. Regarding these measurements, it should be noted the results are notcomparable with the reference method. Laboratory methods were reference methods excluding two cases, where the first was considered an acceptable equivalent method. For the other, a change to a reference method was strongly recommended and this realized in 2020. For some new measurements, the ongoing QC procedures were not yet fully established, and advice were given. Some networks used consultant for calibration and maintenance, and thus theywere not fully aware of the QC procedures. EN Standards were mostly followed. Main concerns were related to the checks of flow and calculation of measurement uncertainty, and suggestions for improvement were given. When the measurement networks implement the recommendations given inthe audits, it can be concluded that the EN Standards are adequately followed in the networks. In the ongoing sampling, clear factors risking the trueness of the result were not found. This applies also for the laboratory analyses in 2020. One network had concentrations above the target value, and theindicative measurementsshould be updated to fixed measurements.
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Sanz, E., P. Alonso, B. Haidar, H. Ghaemi, and L. García. Key performance indicators (KPIs). Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.002.

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The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository.
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Chachu, Daniel. Review of sub-national institutional performance in Ghana. UNU-WIDER, April 2021. http://dx.doi.org/10.35188/unu-wider/wbn/2021-1.

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While the literature on the measurement, causes, and correlates of variations in sub-national institutional governance is prominent for Europe and other regions, it is less so for sub-Saharan Africa. Emerging literature on the latter region offers scope for improved understanding of the relationship between variations in the quality of sub-national governance and Africa’s development. As a preliminary step towards contributing to this literature, this Background Note reviews Ghana’s decentralization experience and efforts to assess its outcome. It surveys the literature, including government documents, reports, and technical notes, and attempts to answer the ‘what’ and ‘how’ of measuring sub-national institutional performance in one of Africa’s shining polities since its decentralization experiment began in 1988.
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George and Hawley. PR-015-10602-R01 Effects of Liquid Contamination on Ultrasonic Flow Meter Performance. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2012. http://dx.doi.org/10.55274/r0010787.

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A known cause of error in in-line ultrasonic meters is the presence of liquid contamination on transducer faces. These liquids can come from unconventional or poor-quality gas supplies, but compressor oil or glycol can also enter the natural gas stream due to problems with upstream equipment. It has been suspected that liquid contamination produces a fundamental measurement error in ultrasonic pulse transit time, which leads to biases in the measured sound speed of the gas and, ultimately, flow measurement errors. Operators presently observe such differences in measured sound speeds, but often do not understand that they may be linked to the presence of liquids. Having such an understanding could lead to solutions to manage the problem, such as diagnostics to identify the cause of the liquid contamination and prompt maintenance on the equipment producing the liquids. Such diagnostics could reduce the resulting measurement errors and related lost-and-unaccounted-for (LAUF) gas amounts. This report documents a research project to characterize ultrasonic meter response to liquid contaminants produced by pipeline operations, particularly compressor oil and glycol. Tests were performed using multiple brands of ultrasonic meters and multiple types of transducers, with flow data and diagnostics collected from each meter. The data were analyzed to answer three questions: (1) how the diagnostic ability of the meter depends upon the meter and transducer designs, (2) whether ultrasonic meter diagnostics can identify liquid contaminant types, and (3) how various liquid contaminants affect measurement accuracy.
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Tao, Gang. PR-244-15700-R01 Characterization of 4.5 Inch Casing Corrosion Features. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2018. http://dx.doi.org/10.55274/r0011523.

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This work conducts a measurement and analysis project on of 4.5" casing corrosion features. Casing samples removed from natural gas storage wells were provided for corrosion feature characterization and comparison in this project. These casing samples have been previously logged by Baker Hughes using their 4995 High Resolution Vertilog (HRVRT) Magnetic Flux Leakage (MFL) tool in 2013. The log results were also provided to C-FER, which formed the basis for comparing to laboratory-measured corrosion features to assess the HRVRT performance. Two measurement methods, the Internal Rotary Inspection System (IRIS) and Ultrasonic Testing (UT), were tried to characterize the casing corrosion features. The IRIS was unsuccessful, and the UT results were used in the subsequent feature comparison analysis with the MFL logs. However, due to the poor quality of the UT measurements, there was little confidence in the accuracy of the assessment of the MFL tool measurement error. A decision was therefore made by PRCI to halt this project. This report summarizes the work performed and the results.
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George and Hart. PR-015-06603-R02 Tests of Instruments for Measuring Hydrocarbon Dew Points in Natural Gas Streams Phase 2. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2008. http://dx.doi.org/10.55274/r0010969.

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Research has assessed the accuracy of two commercially-available hydrocarbon dew point (HCDP) analyzers, an Ametek� Model 241 CE II and a Michell Condumax II. During a previous phase of this project, both automated analyzers, along with a Bureau of Mines chilled mirror device serving as a reference, were tested on gravimetrically-prepared gas blends chosen to simulate a transmission-quality gas and a production gas. The measurement repeatability of both units was found to be better than the manual chilled mirror. Trends in the analyzer and manual chilled mirror measurements suggested that differences in performance between the automated units were related to their measurement techniques and default set points. During the second phase of the project, the Ametek and Michell automated analyzers were tested again on the transmission-quality test gas used in Phase 1, but with specific levels of contamination added to gain knowledge of their performance under adverse conditions. In one round of tests, water vapor was added to simulate a transmission gas with water vapor levels above common tariff specifications. In the second round of tests, the test gas contained both methanol and water vapor, simulating a stream to which methanol has been added to prevent hydrates. Contaminants were added to the test gas stream in amounts such that, depending upon the pressure of the test stream, the contaminant dew point would be reached first, the HCDP would be reached first, or the two phases would condense simultaneously. Multiple HCDP measurements were made with the analyzers to determine their ability to accurately measure HCDPs under these adverse conditions. Analyzer results were again compared to HCDP measurements taken with the Bureau of Mines chilled mirror device and a digital video camera. Results were adjusted for small changes in the heavy hydrocarbon content of the test gases over time, using predictions from an equation of state and gas chromatographic analyses of the test gases.
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