Data for Attribute Control Charts

ATTRIBUTE CONTROL CHARTS

Name

Institution

1. Np-curve

p curve.

The np curve is sloping down to the left. This means that the nosocomial infections are increasing as weeks go by. The p curve also slopes up a bit to the right but the upward and downward displacements of data seem to be equal. This indicates that there is no average decrease in the cases of nosocomial infections. This indicates that they are doing little to reduce the infection rate below the national rate and they cannot achieve this (Argoti et al, 2018).

2.

Machine B shows evidence of special cause variation (Morais, 2015).

3.

The hospital has managed to control death instances with most especially on 1847 and 1848. There had been instances of instability in the first year but things stabilize later in the following two years (Chong et al, 2014).

4.

There is a constant increase of cases of infection after surgery. The hospital is performing dismally in relation to prevention of this cases. There should be an investigation on what led to shooting up of cases between June and September.

5.

The system is not stable. There are sharp ups and downs in data indicating instability. The program is performing well give that congestive heart failure has been documented at 35%. The program is therefore effective (Taylor, 2017).

References

Argoti, M. A., & Carrión‐García, A. (2018). A heuristic method for obtaining quasi ARL‐unbiased p‐Charts. Quality and Reliability Engineering International.

Chong, Z. L., Khoo, M. B., & Castagliola, P. (2014). Synthetic double sampling np control chart for attributes. Computers & Industrial Engineering, 75, 157-169.

Faraz, A., Heuchenne, C., & Saniga, E. (2017). The np Chart with Guaranteed In‐control Average Run Lengths. Quality and Reliability Engineering International, 33(5), 1057-1066.

Knoth, S., & Steinmetz, S. (2015). EWMA p charts for detecting changes in mean or scale of normal variates (No. 368). Discussion Paper, European University Viadrina, Department of Business Administration and Economics.

Morais, M. C. (2016). An ARL-unbiased np-chart. Economic Quality Control, 31(1), 11-21.

Taylor, W. (2017). Adjusted Control Limits for P Charts, Taylor Enterprises, Inc.

1846 Jauary Feb March April May June July August September October November December 18.100000000000001 15.4 19 13.4 10.199999999999999 13.1 18.100000000000001 14.4 15 10.8 5.4 1847 Jauary Feb March April May June July August September October November December 3.2 1.9 3.6 18.3 12.2 2.4 1.2 1.9 5.2 4 4.5 2.9 #REF! Jauary Feb March April May June July August September October November December 1

Column1 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 4.4400000000000002E-2 5.45E-2 0.02 4.1700000000000001E-2 5.7700000000000001E-2 2.2700000000000001E-2 0.21149999999999999 0.1321 9.8000000000000004E-2 4.1700000000000001E-2 5.7700000000000001E-2 0.02 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Readmission rates Jan Feb Mar Apr May Jun Ju l Aug Sep Oct Nov Dec Jan Feb Mar Apr 0.2 0.3 0.2 0.4 0.3 0.3 0.2 0.3 0.1 0 0.1 0.1 0 0.1 0 0.1

No. of nosocomial infections Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 2113 1124 1132 2143 1154 1165 3173 2184

Fraction of nosocomial infections Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 0.1201319006197055 6.3903576098698053E-2 6.4358405821820452E-2 0.12183751208141452 6.5609187560407067E-2 6.6234578429700375E-2 0.18039683893342429 0.12416851441241686 6.7940189891409403E-2 0.12541929615100347

Machine A JAN Ist FEB 5th MARCH 5th APRIL 2nd MAY 15th JUNE 3rd JULY 3rd AUG 2nd SEPT 3rd OCT 13th NOV 5th DEC 3rd 9.0909090909090912E-2 0.10522684146972572 7.3831292047610839E-2 6.9001207521131619E-2 8.5906503363808867E-2 8.6251509401414531E-2 6.8138692427117481E-2 6.7793686389511817E-2 0.10781438675176816 8.0213903743315509E-2 7.6936346386061755E-2 8.797653958944282E-2 Machine B JAN Ist FEB 5th MARCH 5th APRIL 2nd MAY 15th JUNE 3rd JULY 3rd AUG 2nd SEPT 3rd OCT 13th NOV 5th DEC 3rd 7.694839389152186E-2 2.6263823064770934E-2 7.9515534491837805E-2 7.8725645076355974E-2 7.4512901527119535E-2 1.2440758293838863E-2 7.6816745655608212E-2 0.14481305950500264 7.7080042127435494E-2 7.3854660347551337E-2 0.20451553449183782 7.4512901527119535E-2