357 research outputs found

    Enhancing the Quality Improvement through Six Sigma Using DMAIC methodology in construction

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    Abstract: Although Six Sigma has been carried out within side the production and different services industries. This look at defined the Six Sigma idea as a first-class initiative that may be carried out in the constructing enterprise. The concepts, method, and metrics of Six Sigma are first mentioned. The software of Six Sigma for enhancing the first-class of inner finishes at some stage in creation is likewise explained. For that a case of residential complicated which include one hundred residences is carried out to discover the defects in plastering. These defects are then evaluated through making use of DMAIC method of six sigma. Before making use of DMAIC, the sigma degree is calculated through defects consistent with million possibilities (DPMO). In case look at miles determined that the defects determined in completing paintings (plastering) of residential complicated are cracks on plastered floor, mistaken vertical edges of column, window and door, horizontal edges of column, window and door, air hole in plastered floor, choppy plastered floor, and plastered floor broken at some stage in sporting out different sports. Further those defects are evaluated the use of DMAIC method. Keywords: Six Sigma, Defects, Construction, Quality Improvement, DMAIC. Title: Enhancing the Quality Improvement through Six Sigma Using DMAIC methodology in construction Author: Mr. INGALE ROHIT, Prof. S. C. Tandale International Journal of Civil and Structural Engineering Research ISSN 2348-7607 (Online) Vol. 10, Issue 1, April 2022 - September 2022 Page No: 72-92 Research Publish Journals Website: www.researchpublish.com Published date: 04-June-2022 DOI: https://doi.org/10.5281/zenodo.6613790 Paper Download Link (Source) https://www.researchpublish.com/papers/enhancing-the-quality-improvement-through-six-sigma-using-dmaic-methodology-in-constructionInternational Journal of Civil and Structural Engineering Research, ISSN 2348-7607 (Online), Research Publish Journals (Publisher), Website: www.researchpublish.co

    Review Paper: Quality Improvement through Six Sigma using DMAIC Methodology in construction

    No full text
    Abstract: Although Six Sigma has been carried out withinside the production and different services industries. This look at defined the Six Sigma idea as a first-class initiative that may be carried out in the constructing enterprise. The concepts, method, and metrics of Six Sigma are first mentioned. The software of Six Sigma for enhancing the first-class of inner finishes at some stage in creation is likewise explained. For that a case of residential complicated which include one hundred residences is carried out to discover the defects in plastering. These defects are then evaluated through making use of DMAIC method of six sigma. Before making use of DMAIC, the sigma degree is calculated through defects consistent with million possibilities (DPMO). In case look at miles determined that the defects determined in completing paintings (plastering) of residential complicated are cracks on plastered floor, mistaken vertical edges of column, window and door, horizontal edges of column, window and door, air hole in plastered floor, choppy plastered floor, and plastered floor broken at some stage in sporting out different sports. Further those defects are evaluated the use of DMAIC method. Keywords: Six Sigma, Defects, Construction, Quality Improvement, DMAIC. Title: Review Paper: Quality Improvement through Six Sigma using DMAIC Methodology in construction Author: Ingale Rohit, Prof. S. C. Tandale International Journal of Civil and Structural Engineering Research ISSN 2348-7607 (Online) Vol. 10, Issue 1, April 2022 - September 2022 Page No: 93-98 Research Publish Journals Website: www.researchpublish.com Published date: 06-June-2022 DOI: https://doi.org/10.5281/zenodo.6616441 Paper Download Link (Source) https://www.researchpublish.com/papers/review-paper-quality-improvement-through-six-sigma-using-dmaic-methodologyInternational Journal of Civil and Structural Engineering Research, ISSN 2348-7607 (Online), Research Publish Journals (Source), Website: www.researchpublish.co

    Analysing a central implementation of an electronic lab notebook (eLabFTW) at the University of Innsbruck

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    author: Rohit KarthikeyanMasterarbeit University of Innsbruck 202

    Analysing a central implementation of an electronic lab notebook (eLabFTW) at the University of Innsbruck

    No full text
    author: Rohit KarthikeyanMasterarbeit University of Innsbruck 202

    Utilizing photoswitchable lipids to photoregulate facilitated ion transport across membranes

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    Author Rohit YadavDissertation Johannes Kepler Universität Linz 2025Arbeit gesperr

    Utilizing photoswitchable lipids to photoregulate facilitated ion transport across membranes

    No full text
    Author Rohit YadavDissertation Johannes Kepler Universität Linz 2025Arbeit gesperr

    COVID-19: Time Series Datasets India versus World

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    This dataset consists of COVID-19 time series data of India since March 24th, 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : [email protected]) for more details. . The Authors can Refer to and CITE our latest Papers on COVID: 1. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming." Chaos, Solitons & Fractals (2020): 109945. 2. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries." Chaos, Solitons & Fractals 140 (2020): 110118. 3. Mousavi, Mohsen, et al. "COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features." IEEE Computational Intelligence Magazine 15.4 (2020): 34-50. . [Dataset is updated Once a Week

    COVID-19: Time Series Datasets India versus World

    No full text
    This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : [email protected]) for more details. . The Authors can Refer to and CITE our latest Papers on COVID: 1. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming." Chaos, Solitons & Fractals (2020): 109945. 2. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries." Chaos, Solitons & Fractals 140 (2020): 110118. 3. Mousavi, Mohsen, et al. "COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features." IEEE Computational Intelligence Magazine 15.4 (2020): 34-50. . [Dataset is updated Once a Week

    COVID-19: Time Series Datasets India versus World

    No full text
    This dataset consists of COVID-19 time series data of India since March 24th, 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : [email protected]) for more details. . The Authors can Refer to and CITE our latest Papers on COVID: 1. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming." Chaos, Solitons & Fractals (2020): 109945. 2. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries." Chaos, Solitons & Fractals 140 (2020): 110118. 3. Mousavi, Mohsen, et al. "COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features." IEEE Computational Intelligence Magazine 15.4 (2020): 34-50. . [Dataset is updated Once a Week

    COVID-19: Time Series Datasets India versus World

    No full text
    This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : [email protected]) for more details. . [Dataset is updated Twice a Week] The Authors can Refer to and CITE our latest Papers on COVID: 1. Rohit Salgotra, Mostafa Gandomi, Amir H Gandomi. "Evolutionary Modelling of the COVID-19 Pandemic in Fifteen Most Affected Countries" Chaos, Solitons \& Fractals: (2020). https://doi.org/10.1016/j.chaos.2020.110118 2. Rohit Salgotra, Mostafa Gandomi, Amir H Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming" Chaos, Solitons \& Fractals: (2020). https://doi.org/10.1016/j.chaos.2020.10994
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