Posted by: Mangrio Ahmed Ali | April 16, 2009

Quality Data Capturing Costs at Different Output Levels in NADRA

Introduction

In National Database and Registration Authority everyday data of citizens captured at different offices. The accuracy of data is critical for citizens because the data in CNIC contains a special legal value of particulars for him and others. And accuracy is also most important for NADRA because they re-use the data for verification, liking a family, issuing for Passport or computerized driving license or even for statistical purposes at national level. On the other hand NADRA has committed itself to be self-sustaining organization and for that purposes it has to be efficient much like a for-profit concern. If NADRA become able to know what 100% quality costs then it can change other control variables that affect quality.

 

Literature Review:

 

Quality Costs Constitute following costs:

Prevention: These costs include quality system designing and stack-holder trainings and evaluations.

Appraisal: These costs include process control procedures, inspection/testing.

Internal failure: Rework costs when low quality found within organization.

External failure: Rework costs when low quality found by customers.

 

(Cost Accounting, Third Edition Ralph S. Polimini et al page 443-444)

 

Limitations:

 

The study will account for the sample of Assistant Managers from different offices of NADRA in Sukkur Region.

The study will be limited to cost of quality up to data capturing only. Does not include the rework costs of internal or external failures.

 

Managerial Implications:

 

A function of Quality Cost will be defined through the help of regressions in terms of controllable variable that will benefit management to forecast the quality costs ( with sub-divisions of costs)  at different capacities.

 

Where Qi is the function of ith quality cost at level X (output), alpha is intercept and Beta is coefficient of correlation.

 

Method of Research:

 

A questionnaire will be prepared to test following hypotheses from line managers (Assistant Managers in NADRA)

Question

Null Hypothesis

Ho

Alternative Hypothesis

H1

 

What is the effect of training on data capturing quality?

There is no effect of training on data capturing quality.

There is effect of training on quality in data capturing.

 

What is the effect of inspection on data capturing quality?

There is no effect of inspection on data capturing quality.

There is effect of inspection on data capturing quality.

 

 

 

 

For testing of First Hypothesis we have to exclude biasness from it.

 

 

 

Q.1.     What is the average number of applicants for data entry of your center?

 

Ans.     _________

 

 

 

Q.2.     What is average daily revenue of your center?

 

            Rs.___________

 

 

 

Q.3.     On which level the quality in data entry at your office is laying in your opinion? (Be realistic)

 

Level

 

Lowest              1  2  3  4  5  6  7  8  9  10  Highest

 

 

 

 

 

Q.4.     What is minimum POSSIBLE time (in normal conditions) that an applicant can have for data capturing?

 

Ans.     Time in minutes: _________

 

 

 

Q.5.     What will be the maximum time (in normal conditions) that a customer can have to capture 100% accurate data? (Be realistic.)

 

Ans.     Time in minutes: ________

 

 

 

Q.6.     How much time regular training is necessary for DEOs for 100% quality data capturing?

 

Ans.     Hours _____ + minutes _____

 

 

 

Q.7.     How much amount of fee will be lost for sparing that time for training?

 

Rs.___________________ (No. of possible customer x fee)

 

 

 

Output at 100% quality = working hours / Ans of Q3 x Average Rev /Avg Applicants

 

 

 

Quality costs if 100% quality = Avg Fee x Avg Customers can be dealt in time of      

 

                                                                                                training

 

                                                another option = Ans of Q.5

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