SPIO Spare Parts Inventory Optimization
Spare parts are necessary for reducing asset downtime, however, the cost of holding and managing spare part stocks can be significant.
BQR’s SPIO module finds the optimal combination of spare parts that minimizes cost while maintaining high asset performance.
Optimization is based on the asset availability model rather than user defined equipment criticality.
Benefits
Spare Parts Optimization Features
- Multi-Echelon
- Shared Stock
- Periodic Supply
- Supply On Demand
Steps for conducting Spare Parts Optimization
Import (optional)
- Import the block tree, components and failure modes from BQR’s FMECA using BQR’s Core Database
- Alternately, data can be imported from CSV files
User Input
- Define project data such as: Life-Cycle period and operation profiles
- Define the reliability model, repair and replace policy for each block
- Define logistics options for the asset including: spare stocks, OEMs, shops, and transportation routes
- Define costs of inspections, maintenance actions, and downtime
- Define resources required for each inspection and maintenance task (optional)
- Define additional scenarios in order to compare cost and availability
Analysis
- The software validates the user data. If data is missing, user is notified
- Software optimizes the spare part quantities in each stock in order to minimize the Life-Cycle Cost (LCC) while keeping a high asset availability
- Alternately, the software can optimize spare parts in order to reach the highest asset availability under a limited spare parts budget
Reports
- Detailed reliability and availability parameters for each block
- Spare parts quantities for all stocks
- Trade-Off: comparison between scenarios
- All reports can be saved as Excel, HTML or Word files
Features
- Include Central and local stocks
- On-demand or periodic supply
- Flexible asset behavior model
- Accounts for operation phases
- Part libraries
- Import tree from Excel or BQR CARE
- Fast analytic calculations