What are the different options in Custom Report?

Custom reports provide a method to create a comparative view of specific statistics. To create a custom report, click on the new report button.

All elements used to create custom reports work the same.

• Select the object to use in the report from the Menu Bar.
• Click on the layout to locate the upper left corner of the stat or graph location.
• Make selections from the dialog to define the object.

The Custom Report includes:

• Text and images
• Stats
• Service Level Agreement
• Filtered stats
• Times Series
• Histogram
• State or Utilization
• Pie graphs

Text and images

Add images to the layout. For example, you might want to add a company logo to personalize the report. Add Text to clarify statistics, graphs, and charts.

Stats

These statistics are called Smarts Stats. “Smart Stats” continue to work whether running

• a single runs
• multiple scenarios
• replications
• scenarios with “replications.”
• or even numerous model files

All sections of the report expand and contract as needed depending on the type of simulation run.

After running scenarios, the report now includes the comparison of the original statistic.

Service Level Agreement

The Service Level Agreement (SLA) reports if a collected set of data achieved an agreed level of service. The SLA consists of the following:

1. A metric to measure (must be a variable)
2. The goal or agreed standard to be measured includes two parts
   • The level to achieve (for Example, 180 minutes).
   • The percentage below the level to declare metric success (Example, 95%).

The dialog allows the selection of any variable and the goal entry.

The metric displayed on the report provides an instant, persistent statistic that can be reviewed after changes to the model.

Filtered Stats

Filtered Statistics allows stratification of data collected in variables – that is, multiple variables collected simultaneously.

Let’s use an example. A prominent support center stratifies customers based on Type (5 types), Priority (4 priorities), and Service Level (3 service levels). The combination of these descriptive elements equals sixty (5 * 4 * 3) potential statistics. Each variety has a separate service level agreement. A sub example might be Priority 1, Level 1, for customer type 1 requires that 95% of all calls resolve in less than 90 minutes.

When using variables to report service level agreements above, I would need 120 variables and 120 to track the information required. Using 240 elements to define and collect 60 statistics is not reasonable. Using Filtered Statistics, I can collect all the information to report on all groups, answering the same questions with only four variables. To accomplish this data collection task, the variables Time value, Priority, Type, and Service Level, need to be written simultaneously.

Also See: What are Filtered Stats?

How to use filtered stats

All data used in filtered stats must be collected using the same action statements at the same clock time. All Activities or Routes collecting stats would use the same action logic. An example is shown below:

v_Time = Clock( ) – CycleStart (If you were not counting off sift time, then the first line might look like v_Time = v_Clock – a_Cycle_Start where v_Clock is a is part of a model object reaching only on shift time).

v_Type = a_Type

v_Priority = a_Priority

v_Service_Level = a_Service_Level

From the Filtered Stas dialog, select the main variable to display. All variables collected at the same instant display as potential variables used to filter the main variable.

Clicking on the filter dropdown arrow provides methods to filter the main variable.

Times Series

Time Series charts plot the value of a variable over time. These charts show critical information – key performance indicators that relate to time. For example, you could plot the number of people in the waiting room by the time of day.

Histogram

The histogram summarizes values saved to a variable and allows you to see the shape of the distribution. For example, you could observe the time to enter a new patient at the emergency room.

State or Utilization

State & Utilization charts are useful for quickly seeing what your locations and resources spent their time doing. In addition, such visualizations help identify problem areas in your process.

Pie Graphs

Pie graphs isolate the “State” information for an individual resource or location.

Save Reports

If you save the output before exiting, the report returns in the exact position as you left it the next time you run the model. So, you will see the same active report as viewed previously with all the formatting, columns, colors, etc. And you won’t see the things detracting from your goal. If anything has changed during the use of Smart Stats, a prompt appears asking if the output should be saved. Answer no, and the previous save becomes the default. Answer yes and all the changes become the new default for this model.