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    Effect of the level of statistical process control (SPC) practises on quality performance

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    Statistical process control (SPC) is a powerful technique for improving process quality by systematically eliminating special or assignable causes of variation. SPC is not a simple and automatic task. The successful application of SPC requires focused to following ingredients. Such as management commitment, usage of control charts ,identification of critical measurement , operator responsibility ,process definition ,training for SPC ,teamwork ,organizational cultural change ,update the knowledge of process ,audit the SPC practices and performance ,computers and SPC software packages. The purpose of this study is to investigate the level of SPC practices and the impact on organizational performance in terms of quality. The study mainly focus to lean applied apparel manufactures in Sri Lanka to analysis out the level of SPC practicing as well as the effect of SPC to the performance of key quality factors. The study was conducted utilizing the statistical process control integrated with quality performance questionnaire which was previously tested by researchers. ' This study describes the process and outcomes of the 11 ingredients underlying the SPC practices. Data collected form 20 lean implemented apparel industry in Sri Lanka and data analyzed to find the level of statistical process control practicing and the quality performance. Used SPSS software calculated standard deviation, correlations and the mean value. Further used to Excel sheet to analyze collected the data. The collected data was analyzed according to company vise to measure the SPC practicing level. The key quality performances were analysis with level of the SPC practicing. The result was discussed according to the collected data and also discussed. - • - According to the result the lean applied apparel manufacturer are practicing SPC 78.40 % and there is positive trend in key quality performance with SPC practicing level

    Lean manufacturing as a strategic tool in improving quality performance of the apparel firms

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    Increased competition, reduction of profit margins, pressure on reduction of the leadtime and quality have put pressure on Sri Lankan apparel industry to adopt global nufacturing strategies so as to be competitive in the global markets. Lean manufacturing has become one of the most popular organizational interventions in the quality improvement in the Sri Lankan apparel industry. Purpose of this study was to investigate the effect of the uration of lean implementation with organizational quality performance. The population of the study consisted of apparel companies operating in Sri Lanka that have implemented lean manufacturing techniques. Results show that the increase of lean duration increases the level of quality performance of the Sri Lankan apparel firms. The quality performances in terms of rework and rejections shows negative relationship and audit pass rate shows positive relationship with lean duration. Therefore, lean implementation has positive impact on the quality performance of the Sri Lankan apparel firms

    Effects of statistical process control (SPC) practices on quality performance of the apparel firms

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    Manufacturing industries worldwide identified that quality is a major strategy for gaining the competitive advantage in their businesses. Therefore, Statistical Process Control (SPC) has become one of the most popular and widespread organizational interventions in the quality improvement. Although numerous empirical studies pertaining to textile and apparel industry have been published, relatively little is known about SPC of apparel firms that implemented total quality management (TQM) and lean techniques. The preliminary investigations led to identify that apparel firms that have implemented TQM and lean manufacturing techniques use the SPC practices. Therefore, this study is designed to empirically examine the level of the implementation of SPC practices and to establish the relationship between the implementation of SPC practices and quality performance in the TQM and lean implemented Sri Lankan apparel companies. The population of the study consisted of apparel companies operating in Sri Lanka that have implemented the TQM and/or lean manufacturing techniques. Twenty apparel companies fulfilled the sample selection criteria set for the study. The self-administrated survey questionnaire was used for data collection. The questionnaire was pilot tested prior to distribution. The data analysis was conducted using SPSS. Results show that the lean and TQM implemented apparel companies in Sri Lanka apply higher level of SPC practices. The quality performances in terms of rework, rejections and customer complaint shows negative relationship and audit pass rate shows positive relationship with higher levels of SPC practices. This implies that the implementation of SPC practices has reduced the level of rework, rejections, customer complaint and increase audit pass rates. Therefore, SPC implementation has improved the quality performance of the Sri Lankan apparel firm

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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