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Consider the following process flow.
 
Example Process
 

Assume that 100 requests go through the decision “More Info Required”.  This means that 65 (or 65%) require us to email the customer, Wait for a response, Evaluate the Response, and then ask the question “More Info Required” again.  Since we’ve defined 65% of the items as requiring more information, this means that 65% of our initial items pass through the loop again.

 

Determine the results of multiple iterations through the loop:

 

Rework Calculations

 

What is the total number of items that need rework after the 3rd Pass? 28

(100*65%) = 65 → (65*65%) ≈ 43 → (43*65%) ≈ 28

 

How does this compare with our initial arrival rate?  28 / 100 = 28%

 

You can quickly see how our representation of this loop affects our process flowchart, and places an unintended burden on our rework loop.  It is important to understand how ProcessView navigates these loops, so that you can adjust your flowcharting style to get the correct results.  Realistically speaking, after the first pass through the loop, it is likely that the customer has learned something and that the likelihood we have to request additional information is greatly diminished.  To represent this fact, the flowchart should be restructured as shown below:

 

Rework Loop Redrawn 1

Consider an additional example, shown below:

As the example below is drawn, the probability of returning to Step 1 is 70%. This means if 100 items arrive at 'Start', (100*70%) 70 items will return to Step 1 for a second visit. Of those 70 items, (70*70%) 49 will return to Step 1 for a third visit. Of those 49 items, (49*70%) 34 will return to Step 1 for a fourth visit. This is unlikely to occur in the real world. Most of the time, this probability would not remain the same each time, but is likely to decrease. (We rarely rework items 3 times- certainly not 34 of every 100 arriving!) To address this warning, consider reconstructing the map as shown at the bottom of the page.

Bad Rework Construct

Rework Loop Redrawn 2