Development of simulation model for productive reserves planning material consumption on warehouses. Client — Uralkali, one of the world’s largest potash producers.
Period: December 2015 – December 2016
Industry: Mining
Client / Partner: Uralkali
Project objective
Development of the materials consumption and stock replenishment simulation model on warehouses of Uralkali
The main stages of work and characteristics of the model
- The simulation model concept development
- Development of the simulation model: optimization tool, interface, data analysis tool on the Deductor platform
- Verification and validation of the simulation model
- Testing and taking part in model implementation
- Users’ training for client’s personnel
- Technical and methodological support
Model input data
- Information about materials (materials group, base unit of measurement, planned delivery time, etc.)
- Actual opening balance of materials in warehouses
- Flow of materials during the previous periods
- Information about repair orders
The main structural elements of the model
- Input data file of scenario in MS Excel format
- Simulation model with interactive presentation
- Data aggregation module that allows to generate MS Excel files with the simulation results
Model output data
- Service level of material supply in percentage terms
- Average stock level in general and by warehouses
Project result
- Determination of the best materials replenishment policies on central and divisions’ warehouses
- Comparison of different replenishment policies by effectiveness
- Estimation of economic benefits from suggested changes based on comparison of simulation results with the historical data