CENTRALIZED DATA MANAGEMENT, STORAGE AND ARCHIVING SYSTEM FOR MANUFACTURING
QualityWorX puts your all assembly data in one place. A complete birth history for every part, by serial number, for easy retrieval and analysis.
Process monitoring, part test systems, and machines on your line generate all types of production data, including assembly, test, and repair operations. Sciemetric allows you to gather this part production data from each stage of the manufacturing process in a single database for insights on part quality and areas for improvement across every line in your enterprise.
Using our real-time SPC and analytics software, this data can then be organized and viewable on a part-by-part basis by serial number for faster root cause analysis and issue resolution—and traceability you can trust.
Collect manufacturing data from virtually any test system, PLC, tool controller or database
QualityWorX can connect to many types of shop floor machines and systems to bring in data from across the factory. The gateway's powerful parsing engine can ingest .txt, .csv, .ini, .xml, .JSON, .HTML, and binary files (ie. tag). Our list of other, specialized connectors is also wide and growing, including the below connectors and gateways.
Machine and human readable data files (JSON, XML, CSV, TXT, PDF, Excel, etc.)
A Standard Sciemetric or customer-defined data formats in XML and JSON (SPH, SPHX, SPHJ, SPJ, FCDM)
DATA EXPORT FORMATS
ERP/MES interfaces (CSV), JSON-structured data publishers (to File or MQTT Broker), manual export of waveform and scalar results (CSV), Data Interfaces (SQL Views, Data API, REST Data API) for data reporting
Collect all types of manufacturing data for a complete view of production
QualityWorX allows you to collect data from across your production line, including digital process signatures, scalar datapoints, and machine vision images, so no process or test goes unexamined. Data is stored by serial number and organized in a tree structure that mimics the line. You have a full replay of each process in the plant, at your fingertips.
Consolidate data in QualityWorX to access more meaningful insights
Modern manufacturing generates many data types. QualityWorX can handle them all:
Centralized access to your data from QualityWorX Database
Reporting and analysis tools access the QualityWorX Database across local and wide area networks, providing critical insight into the manufacturing processes and production line performance for everyone who needs to use the data for reliable decision-making.
Using Sciemetric Studio, the QualityWorX Database allows you to view and access organized and serializes your data according to your production line, for quicker and more accurate defect detection and problem resolution.
Many manufacturing data collection systems leave a gap between manufacturing data collection and action on the line. Sciemetric helps you bridge that gap by providing all the key elements necessary for data-driven decision making. Draw better insights from your data with a data management software suite that addresses critical aspects of smart manufacturing: Collect & Store, Analyze & Report, and Act & Improve.
Use your part data to inform decision-making on the line
As the number of connected systems in an industrial environment increases, manufacturers are becoming increasingly aware of the value of data and manufacturing metrics to quickly resolve issues and proactively manage production.
This e-book discusses how to effectively analyze data and apply the information collected from your smart factory to take action before problems occur down the line—quickly identify root cause, increase throughput (without affecting quality), improve station performance and more.
Discover how we’ve helped other manufacturers harness their data
Unlocking data to overcome production downtime
An international agricultural machinery manufacturer faced an overwhelming amount of production data and no means of making it useful. See how QualityWorX helped them retrieve and analyze information from the line to quickly trace root cause when quality issues halted production.
For one leading automotive OEM, a reliance on end-of-line testing meant that they weren’t fully realizing the data-driven potential of a connected Industry 4.0 environment. Expanding their in-process test practices and making better use of the data they generated helped one of the world's leading automakers gain enviable quality improvements worldwide.