133,047 research outputs found
W. E. DEMING, Pragmatism and sustainability
No full textW. Edwards Deming aims to contribute to the transformation of management systems which he considers responsible for losses caused the decline of our Societies. His latest book highlights the system of thought called "System of Profound Knowledge" which must lead to this transformation. The aim of our research is to explain the implicit assumptions of Deming's System of Profound Knowledge about ethics and sustainability and argues that they are related to the philosophy of pragmatism. We show how his recommendations on the role of individuals and the transformation of management systems can promote socially and sustainable responsible behaviour. Our guiding principle is the following. Finding connections between main pioneers of the classical American pragmatism movement to Deming, arguing pragmatism is an appropriate paradigm for some sustainable issues, and finally establishing a link between the System of Profound Knowledge and sustainability.Deming;Quality; Management; Ethics; Pragmatism; Sustainability
Personal Papers (MS 80-0002)
No full textLetter from Mildred Deming to Thos. L. James discussing forms on lighting fixtures, microphone brackets, magnifiers, and sun-heat lamps, and a list of authorized Dazor distributors
Deming regression analysis.
No full textDeming regression analysis was done on venous sampling (A and B) from phase I and II (n = 298) and capillary sampling (n = 118) (C and D) for both absolute CD4 count (A and C) and CD4% of lymphocytes (B and D).</p
Using a Spreadsheet Version of Deming\u27s Funnel Experiment in Quality Management and OM Classes
No full textThe funnel experiment was used by Dr. W. Edwards Deming to illustrate the impact of common management behaviors on system variation. Deming\u27s own descriptions of the experiment may be found in Deming (1982, pp. 327–332) and Deming (1993, pp. 194–209). It is also common for secondary sources, notably textbooks in Statistics, Quality Control, and other disciplinary areas, to describe the funnel experiment. See, for example, Gitlow, Oppenheim, Oppenheim, and Levine (2005). It is no overstatement to suggest that a small industry has grown up around this famous teaching tool. Today, for example, one might read about the experiment in numerous trade publications and it is possible to purchase physical kits, a Minitab macro, and any number of downloadable simulators for use in conducting the experiment. Winston (2001) has also included The funnel experiment in his text on simulation modeling using @RISK. This teaching brief summarizes the experiment, describes a simple MS-Excel spreadsheet that brings the experiment to life, and describes the use of that spreadsheet in quality management and operations management classes. Free copies of the spreadsheet are available from the author by e-mail request
Total Quality Management—Excellence—Deming Management Method
No full textHigher Education Institutions worldwide, in order to enhance product and service quality and boost customer satisfaction, are replacing conventional management methods and systems with Total Quality Management (TQM). Higher education managers need to cultivate and sustain a quality culture within their institution emphasizing the following elements: (a) quality leadership, (b) student orientation, (c) employee empowerment, (d) teamwork, and (e) continuous quality improvement. Deming, furthermore, pointed out that the necessity of top management involvement, attention to the customers' needs, and the participation of all staff in the process of continuous improvement, were fundamental keys to corporate success. Chapter three presents a brief overview of the Deming Management Theory, the elements of a Quality and Excellence Culture and the theory of Total Quality Management, in order to help the reader understand why Deming and TQM have gained such popularity in the management community.</jats:p
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Agreement between fingertip-capillary and antecubital-venous appetite-related peptides
No full textBackground: The present study examined the agreement between fingertip-capillary and antecubital-venous measures of appetite-related peptides. Methods: Simultaneous fingertip-capillary and antecubital-venous blood samples were collected from 19 participants. Samples were obtained at baseline, 30, 60, 90 and 120 min following breakfast consumption for determination of plasma GLP-17-36, glucagon, insulin and leptin. Between-day reproducibility of fingertip-capillary-derived estimates was assessed in 18 participants. Deming regression, limits of agreement (LOA) and typical error as a coefficient of variation (CV) were used to quantify agreement (CVa) and reproducibility (CVr). Results: Deming regression revealed no systematic bias for any of the analytes studied, but for insulin there was evidence of a proportional difference at higher concentrations. Measures of GLP-17-36 [CVa = 24.0%, LOA ± 2.5 pg•mL-1•h-1], leptin (CVa = 9.0%, LOA ×/÷ 1.19) and glucagon [CVa = 21.0%, LOA, ± 31.5 pg•mL-1•h-1] revealed good agreement between methodological approaches. Fingertip-capillary glucagon was highly reproducible between days (CVr = 8.2%). GLP-17-36 and leptin demonstrated modest reproducibility (CVr = 22.7 and 25.0%, respectively). For insulin, agreement (CVa = 36.0%, LOA ×/÷ 1.79) and reproducibility was poor (CVr = 36.0%). Conclusion: Collectively, the data demonstrate fingertip-capillary blood provides a comparable and reproducible alternative to antecubital-venous blood sampling for quantification of glucagon, and to a lesser extent for GLP-17-36 and leptin. Caution should be exercised when utilising fingertip-capillary blood sampling for insulin quantification, and consequently should not be employed interchangeably with antecubital-venous blood sampling
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