Example of a Spares Analysis

This example of a Spares Analysis demonstrates how you can use Spares Analyses to evaluate spare parts. We will refer to this example throughout the Spares Analysis documentation as needed.

Assume that you want to create a Spares Analysis for a group of pumps, which contain seals, bearings, and impellers, each of which can fail. Because you may need to replace seals, bearings, and impellers on the pumps when they fail, you can use a Spares Analysis to determine the optimal level for each spare part. Currently, two spare seals, two spare bearings, and no spare impellers are stored in the warehouse. By conducting a Spares Analysis, you can determine if this number of spare parts is adequate.

In the Spares Analysis, you will include failure data for each part of the pump, run the Monte Carlo simulation, and then view the plots to see the optimal level of each spare part. By implementing the recommended spare level, you will be able to limit the amount of downtime and reduce failure costs.

The following records will be defined for the Spares Analysis example. Data that exists within each record in the Spares Analysis example can be found in the example data tables.

When viewing this list of records, you can see that each Spare record is linked to the Spares Analysis record, each Spare Application record is linked to a Spare record, and each Spare Application Population record is linked to a Spare Application record.

This example represents only one approach to creating a Spares Analysis. There are many alternate workflows that can be used for developing a Spares Analysis. For example, instead of creating a Spares Analysis at the pump level (e.g., the equipment level), you can create a Spares Analysis for each of the individual spare parts. After you are familiar with the functionality of a Spares Analysis, you can implement any workflow that works best for your organization.

Copyright © 2018 General Electric Company. All rights reserved.