01
Scattered Testing Operations
Inspection tasks, test results and reports are managed separately, forcing quality staff to search back and forth across files and data sources.
RockPlus LIMS
Laboratory Information Management
& Quality Analysis Platform
Unify inspection tasks, lab instruments, test data and quality analysis, so that every test moves from "producing a report" to "building a data capability for continuous quality improvement".
LABORATORY QUALITY CENTER
Key Quality Indicators · SPC Trend
CPKProcess Capability Analysis
WECOStatistical Anomaly Rules
OCAPException Handling Loop
DCCControlled Documents
Recent Test Tasks
Test ItemBatchStatus
ThicknessLOT-0928Complete
HardnessLOT-0927Complete
SEM / MicrostructureLOT-0926Complete
Instrument Data
Auto-collected · Unified archiving
Auto-collected · Unified archiving
Quality Exceptions
Detect → Analyze → Improve
Detect → Analyze → Improve
Unified Inspection TasksStructured management from task to result
Connected Lab InstrumentsMulti-mode test data collection
Statistical Quality AnalysisSPC / CPK / WECO Rule
Closed-loop Exception TrackingOCAP records analysis & improvement
Laboratory Quality Challenges
The real difficulty of lab digitalization
isn't just "entering test results into a system"
As test items multiply, instrument types grow more complex and quality requirements keep rising, scattered spreadsheets, files and instrument-local data can hardly support continuous analysis and quality improvement.
02
Instrument Data Silos
Different devices output PDFs, databases or interface data in inconsistent formats, making it hard to accumulate unified quality data over time.
03
Quality Trends Spotted Too Late
Watching only the upper and lower spec limits easily misses continuous shifts, abnormal distributions and other latent quality risks.
04
No Closed Loop on Exceptions
If root-cause analysis, actions and improvement results stay offline, the process is hard to track and the outcomes hard to verify.
UNIFIED LABORATORY QUALITY PLATFORM
Unify tasks, instruments, reports and quality analysis on one platform
Build a continuous quality data chain around testing operations, so laboratory data truly becomes a quality asset that is queryable, analyzable, predictable and traceable.
Inspection Tasks
Inspection
Inspection
Test Reports
Report
Report
SPC / CPK
Statistics
Statistics
WECO Rule
Detection
Detection
OCAP
Action
Action
DCC
Document
Document
RockPlus LIMS · Laboratory Quality Data Core
Test Results
Quality Indicators
Instrument Data
Test Reports
Statistical Data
Exception Records
Hardness TesterThickness GaugeUniversal Testing MachineDensity MeterSEM / Electron MicroscopeOptical ProfilerOther instruments
Core Capabilities
Core Capabilities
Built around laboratory test execution, instrument data management and statistical quality control, forming a complete digital laboratory quality management capability.
01 / INSPECTION
Inspection Task Management
Manage all kinds of inspection tasks in one place, turning testing work from scattered records into structured, standardized management linked to products and batches.
02 / INSTRUMENT
Lab Instrument Management
Centrally manage different testing devices and their data sources, turning instruments from standalone tools into quality data nodes.
03 / DATA COLLECTION
Test Data Collection
Collect results through report parsing, device database access, interface integration or assisted entry, according to each instrument's actual open capability.
04 / REPORT
Test Report Management
Archive the results and reports produced by all test items, and link them to the corresponding products and batches.
05 / SPC & CPK
SPC / CPK Statistical Analysis
Continuously track variation, trends and process capability on key quality indicators, extending from single-result judgment to process stability analysis.
06 / WECO RULE
WECO Rule Anomaly Detection
Recognize continuous shifts, one-sided distribution and other latent anomaly patterns, helping quality staff see process changes earlier.
07 / OCAP
OCAP Exception Handling Loop
Keep a running record of causes, actions and outcomes, closing the loop from finding the problem, through improvement, to verifying the result.
08 / DCC
DCC Controlled Document Management
Centrally manage laboratory-related quality documents, providing digital support for standardized testing operations and quality system management.
Quality Intelligence
From "did the sample pass",
to "is the quality trend stable"
Judge not only whether values are out of spec right now, but whether quality indicators are already changing.
Through SPC / CPK and WECO Rule, continuous test data becomes observable quality trends; when latent out-of-control patterns appear, the process moves into OCAP exception handling, closing the quality improvement loop.
01
Test data enters the platformInstrument data, test results and reports accumulate in one place
02
Continuous SPC monitoringTrack the variation and process capability of key quality indicators
03
WECO Rule detects anomaly trendsFrom out-of-spec judgment further to statistical anomaly recognition
04
Quality exception triggeredA traceable quality issue record is created
05
OCAP analysis and actionRecord causes, measures, owners and outcomes
06
Verify improvement over timeLater statistical data confirms whether the actions worked
Instrument Connectivity
Bring data from different lab instruments
into one quality platform
No mandate for all devices to use the same interface — each instrument joins in the way that fits its actual capability, and the resulting data lands in one unified quality system.
REPORT
Test Report Parsing
For instruments that output PDF or other test reports, the results in the reports are collected and archived.
DATABASE
Device Database Access
For instruments that store results in a device database, the corresponding test results are retrieved through the database.
INTERFACE
Instrument Interface Integration
For testing devices with open communication or data interfaces, automated data links are built according to their real interface capability.
ASSISTED
Assisted Data Collection
For devices that cannot yet be fully automated, manual-assisted entry still digitizes the data and keeps it under unified management.
Application
Typical Testing Scenarios
Suitable for laboratory quality management scenarios with many test items, complex instrument types and high requirements for batch consistency and quality traceability.
Incoming & Raw Material Testing
Uniformly manage purity and incoming-quality data while continuously observing batch-to-batch changes.
Physical Property Testing
Density, hardness, thickness, compression ratio and more form unified quality profiles.
Mechanical Property Testing
Manage peel force and other mechanical test data, linked to the corresponding products and batches.
Microstructure & SEM Testing
Manage SEM / electron microscope, groove and product section test data.
Functional Performance Testing
Supports archiving, statistics and trend monitoring of functional indicators such as air permeability and light transmittance.
Customer Practice
Laboratory digitalization for semiconductor
CMP key materials
Facing many test items, complex instrument types and strict batch-stability requirements, the laboratory built a unified quality data system: test results scattered across different instruments are archived by product and batch, and statistical quality analysis keeps process changes under continuous observation.
InstrumentInstrument data access
BatchBatch-linked archiving
ReportTest result management
SPCStatistical process analysis
RockPlus LIMSQuality Data Center
CPKProcess capability analysis
WECOAnomaly trend detection
OCAPException handling loop
DCCControlled quality documents
FAQ
FAQ
A few common questions about laboratory data access, quality analysis and application boundaries.
Can instruments of different brands and types be connected in one system?
Yes — integration follows each device's actual open capability: test report parsing, device database access, interface integration or assisted data collection. The specific approach is assessed case by case based on the instrument's data output capability.
Is LIMS only for storing test results?
Beyond storing results, LIMS builds quality data analysis and exception handling capabilities around inspection tasks, test reports, SPC / CPK, WECO Rule, OCAP and DCC.
How do we go from "out-of-spec alarms" to trend early-warning?
Through SPC statistical analysis of continuous quality data, combined with WECO Rule to recognize shift, distribution and trend anomalies — extending from single-point judgment to process-change detection.
What happens after a statistical anomaly is detected?
The exception enters the OCAP handling process: causes, actions and outcomes are continuously recorded, and the improvement effectiveness is verified with later quality data.
Make every test the data basis for the next quality improvement
Unify testing operations, connect lab instruments and accumulate quality data — building continuous quality analysis and closed-loop exception handling.
