@article{article_212856, title={CONTROL CHARTS FOR AUTOCORRELATED PROCESSES: A REVIEW}, journal={Engineering Sciences}, volume={5}, pages={243–259}, year={2010}, DOI={10.12739/nwsaes.v5i2.5000067090}, author={Karaoglan, Aslan Deniz}, keywords={CONTROL CHARTS, AUTOCORRELATION, LITERATURE REVIEW, STATISTICAL PROCESS CONTROL, AVERAGE RUN LENGTH,}, abstract={One of the primary tools used in statistical quality control is the control charts. The standard assumptions that are usually cited in justifying the use of control charts are that the data generated by the in control process are independent and identically distributed. However the independency assumption is not realistic in practice. Data sets collected from industrial processes may have correlation among adjacent observations (autocorrelation). In this case control charts are modified to monitor the autocorrelated process observation. Many scientists made contributions in the area of control charts for autocorrelated data. In the present paper, a comprehensive overview for control charts for autocorrelated data is given by discussing both theoretical developments and practical experiences, and identifying research trends. Finally, historical progression in this field was emphasized and recommendations for future research are suggested.}, number={2}, publisher={E-Journal of New World Sciences Academy}