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Material Handling Information - Data Warehouse
   
Software
Data Warehouse
A data warehouse is a relational database tool that has been designed to simplify the otherwise complex analysis needed to optimize inventory management and facility management. It automates the process of gathering data, organizing and combining relevant current and historical data – often from multiple sources requiring different skills or security levels to merely access. The data is then formatted for use by the analyst with programs such as Microsoft Access, Excel, MS-SQL or report writers like Crystal Reports. The data warehouse is designed to serve anyone with a question that requires simplified access to historical data or current conditions. It is a dynamic analysis and data mining tool for optimizing warehouse operations.

The data warehouse is usually managed on a separate system from the production systems used to run the warehouse. The reasons behind this are security, convenience, and the fact that some data warehouse queries are intense and could otherwise slow down the production systems that are needed to support ongoing operations. Using a separate system for the data warehouse resolves these issues.

Common Uses:
  • Create reports on labor efficiencies.
  • Warehouse utilization.
  • Inventory status.
  • Shipping and receiving analysis.
  • Supplier performance.
  • Analyze warehouse configurations for high moving product (velocity loading).
  • Order processing strategies by region or customer.
Common Features
Description
  • Labor Efficiency
  • Utilization by operator.
  • Historical information by pick zone.
  • Inventory Status
  • Review inventory turn history.
  • List inventory that is on hold.
  • List holds by vendor.
  • Listing of slow or dead stock.
  • Ability to see amount of on hand by SKU.
  • Warehouse Utilization
  • Listing of occupied locations.
  • Listing of locations with holds.
  • Listing of velocity zones.
  • Product Information
  • Age of products by SKU or lot.
  • Velocity analysis by SKU.
  • Velocity by pick or store area.
  • Receiving
  • Expected receipts, ASN's.
  • Shipping
  • Average order configuration by customer or location.
  • Historical data by customer.
  • Supplier Information
  • Listing of suppliers with performance and ratings.
  • List of SKU and what suppliers can deliver.
  • Maintenance History
  • Logs of maintenance for vehicles, conveyor, automation, etc.
  • Planning and Forecasting
  • Production forecasts
  • .
  • Capacity planning.
  • Resource allocations.
  • Sales and Marketing
  • Tracking of sales.
  • Sales distribution analysis.
  • Trend analysis .


  • Specifications
    • Hardware
      • PC.
      • Sun.
      • IBM RS 6000.
      • HP.
    • Operating System:
      • UNIX.
      • OS400.
      • Windows NT.
    • Database:
      • Any Database.
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