T
The Loper
Hi -
Our insurance industry, back-office operation processes customer submitted requests. We currently inspect critical attributes of these processed transactions in order to detect and correct errors, and report finding in terms of proportion accurate. Depending on the risk associated with a particular transaction type, we may inspect up to 100 percent of the work.
As we improve processes, we would like to implement statistical tools that would allow us to reduce inspection.
For the sake of this discussion, let's say that an individual process is expected to be more than 99.5% accurate.
1. What method should we use to determine if the process is meeting that specification?
2. What triggers should we use to reduce sampling?
3. Using process control charts (p-charts is what I have been using for analysis purposes), how do I determine the sample size and frequency?
Thank you in advance for your help. I am more than happy to read and study, so I would appreciate references if possible.
Our insurance industry, back-office operation processes customer submitted requests. We currently inspect critical attributes of these processed transactions in order to detect and correct errors, and report finding in terms of proportion accurate. Depending on the risk associated with a particular transaction type, we may inspect up to 100 percent of the work.
As we improve processes, we would like to implement statistical tools that would allow us to reduce inspection.
For the sake of this discussion, let's say that an individual process is expected to be more than 99.5% accurate.
1. What method should we use to determine if the process is meeting that specification?
2. What triggers should we use to reduce sampling?
3. Using process control charts (p-charts is what I have been using for analysis purposes), how do I determine the sample size and frequency?
Thank you in advance for your help. I am more than happy to read and study, so I would appreciate references if possible.