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.
The following table shows the data stored in the Spares Analysis record for the Spares Analysis example.
Record | Section | Values Specified |
---|---|---|
Spares Analysis Example |
Analysis |
Name: Spares Analysis Example Description: This is a sample Spares Analysis example. Simulation Start Date: 1/1/2015 Simulation End Date: 1/1/2025 Currency: $ |
Spares Analysis Example
|
Simulation Options |
Number of Iterations: 100 Random Seed: No |
The following table shows the data stored in the Spare records that are included in the Spares Analysis example.
Record | Section | Values Specified |
---|---|---|
Seals |
Spare |
Name: Seals On-site Delivery Time: 4 Hours Normal Order Time: 25 Days Normal Cost: 100 Expedited Order Time: 3 Days Expedited Cost: 300 Holding Cost Rate: 20 per Year Minimum Holding Level: 0 Maximum Holding Level: 10 Current Holding Level: 1 |
Bearings |
Spare |
Name: Bearings On-site Delivery Time: 4 Hours Normal Order Time: 25 Days Normal Cost: 100 Expedited Order Time: 3 Days Expedited Cost: 300 Holding Cost Rate: 20 per Year Minimum Holding Level: 0 Maximum Holding Level: 10 Current Holding Level: 1 |
Impellers |
Spare |
Name: Impellers On-site Delivery Time: 4 Hours Normal Order Time: 25 Days Normal Cost: 100 Expedited Order Time: 3 Days Expedited Cost: 300 Holding Cost Rate: 20 per Year Minimum Holding Level: 0 Maximum Holding Level: 10 Current Holding Level: 0 |
The following table shows the data stored in the Spare Application record that are included in the Spares Analysis example.
Section | Values Specified |
---|---|
Seals - Indoor Application | |
Application |
Name: Indoor Application |
Failure Distribution |
Distribution Name: Failure Distribution Distribution Description: Manually entered based on manufacturer data. Units: Months Distribution Type: Exponential MTBF: 60 |
Failure Consequence |
Preparation Time: 4 Hours Repair Time: 8 Hours Total Correction Time: 12 Hours Labor Cost: 1000 Fixed Lost Production Cost: 0 Variable: Lost Production Cost Rate: 100000 per Day # of Required Spares: 1 |
Preventive Maintenance |
Enable Preventive Maintenance: No Time-based Replacement Interval: No Labor Cost: No Downtime: No |
Seals - Outdoor Application | |
Application |
Name: Outdoor Application |
Failure Distribution |
Distribution Name: Failure Distribution Distribution Description: Manually entered based on manufacturer data. Units: Months Distribution Type: Exponential MTBF: 48 |
Failure Consequence |
Preparation Time: 4 Hours Repair Time: 8 Hours Total Correction Time: 12 Hours Labor Cost: 1000 Fixed Lost Production Cost: 0 Variable: Lost Production Cost Rate: 100000 per Day # of Required Spares: 1 |
Preventive Maintenance |
Enable Preventive Maintenance: No Time-based Replacement Interval: No Labor Costt: No Downtime: No |
Bearings - Indoor Application | |
Application |
Name: Indoor Application |
Failure Distribution |
Distribution Name: Failure Distribution Distribution Description: Manually entered based on manufacturer data. Units: Months Distribution Type: Exponential MTBF: 60 |
Failure Consequence |
Preparation Time: 4 Hours Repair Time: 4 Hours Total Correction Time: 8 Hours Labor Cost: 500 Fixed Lost Production Cost: 0 Variable: Lost Production Cost Rate: 100000 per Day # of Required Spares: 1 |
Preventive Maintenance |
Enable Preventive Maintenance: No Time-based Replacement Interval: No Labor Cost: No Downtime: No |
Bearings - Outdoor Application | |
Application |
Name: Outdoor Application |
Failure Distribution |
Distribution Name: Failure Distribution Distribution Description: Manually entered based on manufacturer data. Units: Months Distribution Type: Exponential MTBF: 48 |
Failure Consequence |
Preparation Time: 4 Hours Repair Time: 4 Hours Total Correction Time: 8 Hours Labor Cost: 500 Fixed Lost Production Cost: 0 Variable: Lost Production Cost Rate: 100000 per Day # of Required Spares: 1 |
Preventive Maintenance |
Enable Preventive Maintenance: No Time-based Replacement Interval: No Labor Cost: No Downtime: No |
Impellers - All Applications | |
Application |
Name: All Applications |
Failure Distribution |
Distribution Name: Failure Distribution Distribution Description: Manually entered based on manufacturer data. Units: Months Distribution Type: Exponential MTBF: 72 |
Failure Consequence |
Preparation Time: 4 Hours Repair Time: 4 Hours Total Correction Time: 8 Hours Labor Cost: 500 Fixed Lost Production Cost: 0 Variable: Lost Production Cost Rate: 100000 per Day # of Required Spares: 1 |
Preventive Maintenance |
Enable Preventive Maintenance: No Time-based Replacement Interval: No Labor Cost: No Downtime: No |
The following table shows the data stored in the Spare Application Population records that are included in the Spares Analysis example.
Population Name | Values Specified |
---|---|
Seals - Inboard Application |
|
Inboard Population 1 |
Population Size: 2 Age Value: 2 Years |
Inboard Population 2 |
Population Size: 1 Age Value: 4 Years |
Seals - Outboard Application |
|
Outboard Population 1 |
Population Size: 4 Age Value: 2 Years |
Outboard Population 2 |
Population Size: 2 Age Value: 3 Years |
Outboard Population 3 |
Population Size: 1 Age Value: 5 Years |
Bearings - Inboard Application |
|
Inboard Population 1 |
Population Size: 2 Age Value: 2 Years |
Inboard Population 2 |
Population Size: 1 Age Value: 4 Years |
Bearings - Outboard Application |
|
Outboard Population 1 |
Population Size: 4 Age Value: 2 Years |
Outboard Population 2 |
Population Size: 2 Age Value: 3 Years |
Outboard Population 3 |
Population Size: 1 Age Value: 5 Years |
Impellers - All Applications |
|
Pump Population 1 |
Population Size: 6 Age Value: 2 Years |
Pump Population 2 |
Population Size: 1 Age Value: 4 Years |
Pump Population 3 |
Population Size: 2 Age Value: 3 Years |
Pump Population 4 |
Population Size: 1 Age Value: 5 Years |
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