Material Criticality Analysis
PiLog would perform the material criticality or Inventory Analysis in order to determine the criticality, consumption value, consumption rate, stock value, lead time, price of single unit and frequency with which it is used by the plants during the production process.
Material Criticality Analysis Usage
ABC Analysis
Based on Consumption Value per Year
FMSN Analysis
Based on Consumption Rate
XYZ Analysis
Based on stock value accumulation
VED Analysis
Based on Criticality & Impact
HML Analysis
Based on Unit cost of Material
SDE Analysis
Based on Lead time and Availability
Material Criticality Analysis Usage
This module allows the users to easily view inventory movement, usage and trends. Users can analyse inventory sales over a specified time frame and make decisions on how to best adjust item resource planning values based on sales averages and months availability.
The process of understanding the moving parts and products combined with the knowledge of the demand for stock/product. It is the technique to determine the optimum level of inventory for a firm.
Features Of Material Criticality Analysis
Categorize products by importance and usage frequency to prioritize critical items, ensuring efficient resource allocation and inventory control.
Standardize naming conventions, formats, units of measurement, and attributes to ensure consistency, facilitate interoperability, and simplify analysis.
Use profiling, validation, and enrichment techniques to ensure high-quality, reliable data.
Map data elements to a common schema through restructuring, aggregating, and applying business rules to yield valuable insights.
Combine data from databases, applications, and external datasets into a central repository using ETL processes, virtualization technology, and APIs.
Standardize naming conventions, formats, units of measurement, and attributes to ensure consistency, facilitate interoperability, and simplify analysis.
Use profiling, validation, and enrichment techniques to ensure high-quality, reliable data.
Map data elements to a common schema through restructuring, aggregating, and applying business rules to yield valuable insights.
Benefits of Material Criticality Analysis
Enhanced Operational Efficiency
Reduced Operational Costs
Shortened Work Cycles
Paperless Inventory Processes
Onsite Asset Reconciliation
Improved Data Accuracy
Increased Virtualization
Elimination of Excel Dependency
