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.
Based on Consumption Value per Year
Based on Consumption Rate
Based on stock value accumulation
Based on Criticality & Impact
Based on Unit cost of Material
Based on Lead time and Availability
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.
Categorize products by importance and usage frequency to prioritize critical items, ensuring efficient resource allocation and inventory control.
Implement stringent controls to maintain material quality, prevent misuse, and ensure availability of essential resources.
Reduce storage costs and handling efforts by maintaining optimal inventory levels and streamlining warehouse operations.
Minimize capital tied up in stock by aligning inventory levels with actual demand, enhancing financial efficiency.
Prevent equipment idle time by ensuring timely availability of parts, avoiding stockouts and shortages.
Monitor and manage inventory to prevent accumulation of outdated or unused items (raw materials, components, tools, spare parts), reducing waste and associated costs.
Evaluate the importance of spare parts to prioritize stocking and maintenance efforts effectively.
Implement systems to track inventory levels, ensuring accuracy and facilitating timely replenishment and control.
Enhanced Operational Efficiency
Reduced Operational Costs
Shortened Work Cycles
Paperless Inventory Processes
Onsite Asset Reconciliation
Improved Data Accuracy
Increased Virtualization
Elimination of Excel Dependency