Used Gamma Control Chart on L.O.I of Cement Factor

Authors

  • Kawa Mohammed Jamal Statistics and Informatics Department, College Administration and Economic, University of Sulaimani, Sulaimani, Iraq
  • Shalaw Latif Khdir Statistics and Informatics Department, College Administration and Economic, University of Sulaimani, Sulaimani, Iraq

DOI:

https://doi.org/10.25098/5.2.18

Keywords:

GAMMA control chart, Wilson-Hilferty, Monitor, Scale and Shape parameter, ARL

Abstract

Control charts are one of the scientific, statistical tools widely used to monitor the processes' stability and performance and detect abnormal changes and variations in the processes quickly by monitoring and controlling the processes. The purpose of a GAMMA control chart has been performed using the cement product factory in Sulaimani of interest supports variable the gamma distribution. The Wilson-Hilferty estimate is applied to change the gamma variable characteristic to a normal random variable. The Gamma control chart for data monitors the time until an event assumes that a particular event follows a homogeneous Poisson process. We display the GAMMA control chart's construction and determine the average run lengths for control and a shifted process. The out-of-control ARL is received after the procedure is shifted in intervals of the Gamma distribution scale parameter. Therefore, according process shift parameters, the ARLs are shown for many values of the shape parameter. Control charts have been evaluated to determine the effectiveness of the aimed chart. The implementation of the suggested map is shown using information on cement products. The GAMMA control chart is said to be more sensitive and reliable in identifying tiny changes since it gives a single explanation for several variables.

References

Aslam, M., Bantan, R. A., & Khan, N. (2019). Design of a control chart for gamma distributed variables under the indeterminate environment. IEEE Access, 7, 8858-8864.‏

Aslam, M., Khan, N., & Jun, C. H. (2016). A control chart using belief information for a gamma distribution. Operations Research and Decisions, 26(4), 5-19.‏

Demirkol, S. (2008). Comparison of control charts for autocorrelated data (Doctoral dissertation, DEU Fen Bilimleri Enstittist1).

John S. Oakland (2008) (Statistical Process Control) PhD, CChem, MRSC, FCQI, FSS, MASQ, FloD Sixth edition , Printed and bound in Great Britain

Khan, N., Aslam, M., Ahmad, L., & Jun, C. H. (2017). A control chart for gamma distributed variables using repetitive sampling scheme. Pakistan Journal of Statistics and Operation Research, 47-61.‏

M. Jeya Chandra, (2001) ,( Statistical Quality Control ) Library of Congress Cataloging-in-Publication Data, No claim to original U.S. Government works International Standard Book Number 0-8493-2347-9 Printed in the United States of America , Printed on acid-free paper

Peihua Qiu, (2014) , (Introduction to Statistical Process Control ) ,by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business, International Standard Book Number-13: 978-1-4822-2041-4 (eBook - PDF).

Rashid, K. M. J. (2011). Statistical optimization of quality improvement by using TAGUCHI methods with application. P.H.D, dissertation, college of administration and economics, university of SULAIMANI

Saghir, A., Ahmad, L., & Aslam, M. (2019). Modified EWMA control chart for transformed gamma data. Communications in Statistics-Simulation and Computation, 1-14.‏

Yang ,K, Basem ,S. El-Haik (2009) (Design for Six Sigma ) Second Edition, by McGraw-Hill Companies.

Published

2022-04-15

How to Cite

Jamal , K. M., & Khdir, S. L. . (2022). Used Gamma Control Chart on L.O.I of Cement Factor. The Scientific Journal of Cihan University– Sulaimaniya, 5(2), 49-64. https://doi.org/10.25098/5.2.18

Issue

Section

Articles Vol5 Issue2