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Each Likelihood of Failure is based on one or more factors. A project can contain a library with dozens of LOF's which are combined with customized weighting during the Risk calculation. Typical data used in LOF's include asset attribute data (e.g., install date, pipe material) and various GIS data (e.g., Soil type, etc.).

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To create a new LOF, right-click on the Likelihood of Failure category in the Analysis tab of the Operation Center window and select New.

Then, give the LOF an ID and Description (separate the ID and Description with a comma). Click OK.

The Likelihood of Failure Wizard will open and guide you through the following steps:

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Full Network: Every asset of this type (e.g., gravity main, lateral, manhole) will receive a score for this LOF.

Facility Selection: Every asset of this type (e.g., gravity main, lateral, manhole) that is within the static selection will receive a score for this LOF.

Zone: Every asset of this type (e.g., gravity main, lateral, manhole) that is assigned to the zone selected will receive a score for this LOF. Please note that "zone" is an attribute field for each element type. If there are no values in this field, there will be no options in the zone drop-down menu.


Step 2: Choose a Category

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Normalize value: Choose a field from the dropdown drop-down list to divide the value by. For example a user , you might select pipe length to generate a resulting “number of incidents per pipe length” value. NOTE Note: This option is not available if the "Value" field contains non-numerical results (i.e., material results displayed in the above).

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In Step 5, consequence scores will be defined based on values shown in Step 4. Depending on the parameter type selected in Step 3, the values may be text or numerical which require different types of scoring. For example, if pipe material is being evaluated, a text field will be scored, so there cannot be a range of values to score. A score would be assigned to each unique material type.  But with a LOF score on pipe diameter, a numerical value, scoring could be done on individual values or on a range of values.

The following dialog demonstrates following dialog box demonstrates scoring ranges based on install dates where the number of classes as well as breaker values to create custom ranges can be defined.

The following dialog box shows the discrete text values returned from scoring on a text field. In this scores will be assigned to specific values. The number of classes does not apply when using text values.

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Equal Interval, Natural Breaks, and Quantile methods can be used for automatically assigning breaks to ranges of numerical values:

Quantile - assigns Assigns the same number of data values to each class.

Equal Interval - divides Divides the data values into equal-sized classes.

Natural Breaks - classes Classes are set where there are large differences in the data values.

Normalize score by- Choose a field from the drop-down menu to divide the likelihood by. The intent of this tool is to allow users you to apply business risk exposure logic to the likelihood calculation.

For example, by choosing the redundancy field containing a value of 2 for all looped and parallel pipes. The likelihood will be divided by 2 for all looped and parallel pipes. For more information, see Calculate Pipe Redundancy.

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Pipe Attribute - Predict the likelihood of failure of each asset based on it's direct attribute data (e.g., install date).

Select a facility attribute field, or choose other to select any other field associated to the asset. Please note that the options shown here will vary depending on what asset type the LOF is scoring.

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Critical FacilitiesUse the location of critical facilities (e.g., hospitals) to assign higher LOF to nearby or associated assets.

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Facility Layer - The background GIS layer to be used in the COF.

Facility ID Field - When a field is selected, InfoAsset Planner will omit the spatial search and simply apply True/False values based on direct assignment of Assets to critical facilities. Each critical facility (e.g. hospital) can be assigned one asset (e.g., pipe) using this field. Set this value to Blank to use the spatial search.

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Type - Score assets based on the type of service requests associated. (NOTENote: If an asset has multiple service requests associated with it, InfoAsset Planner will only use the highest scoring type. The service requests type to score association is set in step 5.)

Status - Score assets based on the status of service requests associated. (NOTENote: If an asset has multiple service requests associated with it, InfoAsset Planner will only use the highest scoring status. The service request status to score association is set in step 5.)

General Info - Score assets based off of fields in the IMIC_SVServiceRequest table. If this option is selected the "Field" drop-down list must be used. (NOTENote: This layer is the default InfoAsset Planner layer used by the Service Request tab. The user You can add custom fields to this layer if desired.)

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Type - Score assets based on of the type of inspection associated. (NOTENote: If an asset has multiple inspections associated with it, InfoAsset Planner will only use the highest scoring type. The inspection type to score association is set in step 5.)

Status - Score assets based on of the status of inspection associated. (NOTENote: If an asset has multiple inspections associated with it, InfoAsset Planner will only use the highest scoring status. The inspection status to score association is set in step 5.)

General Info - Score assets based on of fields in the IMIC_IPInspection table. If this option is selected the Field drop-down list must be used. (NOTENote: This layer is the default InfoAsset Planner layer used by the Work Manager Inspection tab. The user You can add custom fields to this layer if desired.)

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Type - Score assets based off of the type of work orders associated. (NOTENote: If an asset has multiple work orders associated with it, InfoAsset Planner will only use the highest scoring type. The work order type to score association is set in step 5.)

Status - Score assets based off of the status of work orders associated. (NOTENote: If an asset has multiple work orders associated with it, InfoAsset Planner will only use the highest scoring status. The work order status to score association is set in step 5.)

General Table - Score assets based off of fields in the IMIC_WOWorkOrder table. If this option is selected the Field drop-down list must be used. (NOTENote: This layer is the default InfoAsset Planner layer used by the Work Manager Work Order tab. The user can add custom fields to this layer if desired.)

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Query - This can be used to filter the data source so that only the needed entries are scored. Click Query Builder to create a query expression that will refine tasks selected and asset scoring.

Facility ID Field - This dropdown drop-down list is used to link the table/layer entries to InfoAsset Planner assets.

Target Field - This dropdown drop-down list is used to select the values to be scored.

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Be aware that using reliability analysis as part of a combination of LOF's can result in overlapping scores of attributes. For example, pipe material is a common LOF category, but it is also often included in any reliability analysis. Including both in the final Risk analysis could double the contribution of material as a factor relative to other factors being considered.

Reliability: This dropdown drop-down lists any available Reliability analysis results stored in the project.

Query: This can be used to filter the data source so that only the needed entries are scored. Click Query Builder to create a query expression that will refine tasks selected and asset scoring.

Target Field: This dropdown drop-down list is used to select one of the available reliability analysis outputs to be used for creating scores.

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Run - Re-run or just edit the existing LOF.

Reports - Access the reports that have been generated from the previous run of the selected LOF.

Map Display - Create a customized map theme for the selected analysis results.



*Note: Be sure to re-run the LOF analysis any time that the underlying input data changes to reflect the latest results.