Automated Data Collection
Reduction of manual data collection errors that resulted in the rejection of manufactured product based upon quality audit
Provides on-line data retrieval that significantly reduces hard copy record storage costs as well as the time related to off-line retrieval of archived manufacturing data (product recalls or litigation defense).
Significantly streamlined data collection process through barcoding and machine interfaces.
Increased throughput in processes that are bottlenecks in the manufacturing process, receiving, shipping, material issue, inventory movements, cycle counting, physical inventory, labor and production reporting.
Limiting the impact of the cost of a product recall via automated collection of critical material and product lots.
Limitation of product liability by storing historical product manufacturing information that can be easily retrieved in order to defend a future product liability lawsuit.
Provides on-line retrieval of data, which substantially reduces the time required to approve the product for shipment.
Provides a single source of retrieval of manufacturing data that was previously stored on disparate systems.
Significantly reduces the human resources required to audit all manufactured lots by placing manufacturing rules into software that must be utilized in order to produce product.
Automated Production Reporting
Elimination of manual data entry errors.
Elimination of material transaction omissions.
Real-time collection of WIP inventory for month-end processing.
Real-time production reporting to ERP system. Product available to ship and visibility to manufacturing planning and scheduling.
Required accountability for materials scrapped in manufacturing process (automated materials issue minus quantities produced equals yield loss and scrap).
Elimination of significant labor hours related to manually opening work orders, issuing materials, reporting production and scrap.
Accuracy of materials reporting and consumption.
Accuracy of scrapped materials tracking.
Recognition of raw materials inventory levels for improved manufacturing planning and purchasing.
Identification of manufacturing operations where raw materials are being scrapped.
Automation of WIP calculation via automated materials issue by manufacturing process.