Statistical Quality Control
Monitor process variations in real-time with control charts, acceptance sampling, and process capability analysis. Detect quality issues before they become defects—all integrated with your CMMS. Reduce defects by 40%.
Trusted by over 1000+ clients across the world
Complete Quality Solution
6-Step SQC Workflow
From data collection to continuous improvement, manage your entire quality control lifecycle with OxMaint's statistical quality control system.
Collect Data
Sensors & ManualAnalyze
Statistical AnalysisControl Charts
Monitor TrendsAlert
Real-time NotifyCorrect
Take ActionImprove
ContinuousFeature Spotlight
Real-Time Control Charts
Monitor process variations in real-time with statistical control charts. Automatically detect out-of-control conditions, identify trends, and receive instant alerts before defects occur.
Auto Chart Selection
System picks the optimal chart type for your data.
Control Limits
UCL, LCL, and center line calculation.
Trend Detection
Western Electric rules & Nelson rules.
Real-Time Alerts
Instant notifications for out-of-control points.
Historical Analysis
Compare trends across shifts and periods.
Mobile Access
View charts anywhere on any device.
X-bar & R Control Chart
Chart Configuration
CALCULATED CONTROL LIMITS
Chart Categories
Types of Control Charts
Choose from comprehensive control chart types for both variable and attribute data. The system automatically recommends the best chart based on your measurement type and subgroup size.
X-bar & R Charts
For subgroups of 2-10 measurements.
X-bar & S Charts
For larger subgroups (n > 10).
P-Chart & NP-Chart
For fraction or count of defectives.
C-Chart & U-Chart
For defects per unit counting.
Control Chart Types
Variable Data
X-bar, R, S, I-MRAttribute Data
P, NP, C, UVariable Data Charts
Attribute Data Charts
Capability Metrics
Process Capability Analysis
Measure your process's ability to meet customer specifications. Calculate Cp, Cpk, Pp, Ppk indices and visualize capability with histograms and normal distribution curves.
Cp Index
Process capability without centering.
Cpk Index
Capability with process centering.
Pp / Ppk Indices
Long-term process performance.
PPM Defective
Parts per million outside specs.
Sigma Level
Six Sigma performance rating.
Histogram Analysis
Distribution visualization.
Process Capability Analysis
1.89
Target: ≥ 1.331.67
Target: ≥ 1.331.75
Long-term1.52
Centered64 PPM
4.8σ
Lot Inspection
Acceptance Sampling
Statistically valid sampling plans for incoming, in-process, and final inspection. Make accept/reject decisions based on AQL (Acceptable Quality Level) standards.
AQL-Based Sampling
Standard sampling plans per AQL level.
Sample Size Calculator
Automatic sample size determination.
Accept/Reject Criteria
Clear decision rules for lot disposition.
Supplier Quality
Track supplier performance history.
Acceptance Sampling Plan
DECISION CRITERIA
Continuous Improvement
Six Sigma & DMAIC Tools
Complete toolkit for Define, Measure, Analyze, Improve, Control methodology. Drive continuous improvement with Pareto charts, fishbone diagrams, and root cause analysis.
DMAIC Workflow
Guided improvement projects.
Pareto Analysis
Identify vital few problems.
Fishbone Diagrams
Ishikawa cause-effect analysis.
Root Cause Analysis
5-Why and 8D methodology.
Six Sigma DMAIC
Define
Define problem & goalsMeasure
Collect baseline dataAnalyze
Find root causesImprove
Implement solutionsControl
Sustain improvementsClosed-Loop Quality
From Defect Detection to Corrective Action
OxMaint connects quality control directly to maintenance—when SQC detects an issue, the system automatically triggers corrective actions through your CMMS.
Defect Detected
Control chart alertRoot Cause Found
Analysis toolsWork Order Created
Auto-generatedIssue Fixed
Maintenance doneQuality Verified
Back in controlFaster Response Time
Automatic work order generation means no delays between detection and action.
Full Traceability
Every quality issue linked to its root cause, fix, and verification in one system.
Continuous Improvement
Historical data feeds back into SQC for smarter predictions and prevention.
Proven Quality Results
Organizations using OxMaint SQC achieve measurable improvements in quality and efficiency.
40%
Defect Reduction
30%
Less Scrap & Rework
99%
First Pass Yield
"OxMaint SQC transformed our quality operations. Defect rates dropped 45% in the first quarter after implementation."
AutoParts Manufacturing
Automotive Tier 1
"Control charts with real-time alerts let us catch issues before they become batch rejections. Customer complaints down 60%."
ElectraTech Corp
Electronics Manufacturing
"Process capability improved from Cpk 0.9 to 1.8. We're now meeting Six Sigma targets regularly."
PrecisionMed Devices
Medical Devices
"Acceptance sampling integration saved us hours per day. Clear accept/reject decisions."
FoodPro Industries
Food & Beverage
FAQ
Frequently Asked Questions
Everything you need to know about OxMaint's Statistical Quality Control system.
Statistical Quality Control (SQC) is a systematic approach that uses statistical methods to monitor, control, and improve product quality in manufacturing processes. It includes techniques like control charts, acceptance sampling, and process capability analysis to identify variations, detect defects early, and ensure consistent quality output—delivering products that meet customer specifications and regulatory requirements.
While often used interchangeably, SQC (Statistical Quality Control) is a broader term that encompasses all statistical methods for quality control, including SPC (Statistical Process Control). SPC specifically focuses on monitoring and controlling processes using control charts, while SQC also includes acceptance sampling, inspection methods, and output quality measurement. OxMaint provides both SPC and SQC capabilities in an integrated platform.
OxMaint supports all major control chart types. For variable data: X-bar & R charts (subgroups 2-10), X-bar & S charts (larger subgroups), Individual-Moving Range (I-MR) charts for single measurements, and EWMA charts for detecting small shifts. For attribute data: P-charts (proportion defective), NP-charts (number defective), C-charts (defects per unit), and U-charts (defects per unit with varying sample size). The system recommends the optimal chart type based on your data.
Process Capability indices (Cp, Cpk, Pp, Ppk) measure how well your process can meet customer specifications. Cp measures potential capability (spread vs spec width), while Cpk accounts for process centering. A Cpk of 1.33 means your process produces less than 64 defects per million. OxMaint calculates these indices automatically and shows PPM defective rates and Sigma levels, helping you identify processes that need improvement.
Yes! OxMaint's SQC module is fully integrated with the CMMS platform. When quality issues are detected through control charts or inspection, the system can automatically generate work orders, trigger preventive maintenance, and link quality events to specific assets and maintenance history. This creates a closed-loop system from defect detection to corrective action with complete traceability.
Achieve zero-defect manufacturing.
Monitor quality in real-time, detect defects before they happen, and drive continuous improvement with Statistical Quality Control.
OxMaint is available to download from both App Store and Google Play Store.
