Process control for categorical (ordinal) data

Quality improvement is playing the key role in success of a business. Reduction variability main step for quality. Control charts are developed purpose monitoring quality characteristics with aim reducing variability. In many industries instead continuous variable categorical (ordinal) data used to measure interest. Hence developing control techniques ordinal has become recent research focus. practitioners often face problem select appropriate technique practical field since there quite few available literature this purpose. paper we have studied various and compared their performance detect shift location parameter. Data were simulated from Normal distribution average run length (ARL) computed different values mean (both positive negative direction) using methodologies under study. The best was identified respect ARL.