Development and implementation of an intelligent analysis and automatic data aggregation system for laboratory testing equipment
Reducing the influence of the human factor on test results conducted in the Central Laboratory Quality Control (CLQC) facilities
PROJECT IMPLEMENTATION OBJECTIVES
Hierarchical data from equipment
Creation of a hierarchically structured array of test result data obtained via direct aggregation from equipment, adapted for further processing using BigData methods.
Growth in direct digital data collection
Increasing the volume of digital data obtained by direct aggregation from testing equipment.
Automation of laboratory processes
Increasing the degree of automation of laboratory business processes.
IMPLEMENTED SOLUTIONS
1. Increasing the transparency and visibility of quality-related data across the entire process chain.
2. Monitoring of product data and relationships with production processes. Implementation of control actions and automatic regulation loops.
3. Early detection of technological process flaws that affect product quality.
4. Continuous product quality assessment based on "rules" under "consistent quality" conditions.
Client
Location
CLQC (Central Laboratory Quality Control)
Year
2020
