Statistical Quality Control (SQC) & Process Capability
Deploy automated control charts, process capability analysis (Cp, Cpk), and acceptance sampling to ensure stable manufacturing processes and audit-ready compliance.
Statistical Process Control
Monitor Cp/Cpk limits live and prevent defects with automated control chart alarms.
Cp/Cpk Capability Indices
Monitor process boundaries to verify alignment with targets.
Improvement: Prevents drift defects.
X-bar Control Charts
Plot measurements automatically with instant out-of-control alarms.
Improvement: Stops lines before errors scale.
MIL-STD Acceptance Plans
Standardize sampling numbers for incoming material inspects.
Improvement: Reduces inspection costs.
Pareto Defect Charts
Consolidate failure reason codes to focus engineering investigations.
Improvement: Speeds up problem resolution.
Quality Inspector
R. Sharma (ID: #4092)
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.
1.89
1.67
1.75
1.52
Process Capability
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.
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.
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.
Six Sigma & DMAIC Frameworks
Deploy structured statistical root-cause and problem-solving methodologies integrated directly with your shop-floor data stream to maintain long-term stability.
Define Phase
STAGE: DEstablish project scope, process boundaries, and critical-to-quality (CTQ) specifications based on customer quality audits.
- Project Charter
- SIPOC Diagram
- CTQ Parameter List
- CTQ definition trees
- VOC surveys
- Process mapping
Closed-Loop Corrective Action
Close the gap between detection and correction. Connect control chart alarms directly to frontline action plans to stop defects from escaping.
Automated Alarm
Process deviations instantly trigger Andon lights and OCAP workflows.
Operator OCAP Logs
Operators log machine settings, tool adjustments, or batch shifts immediately at line-side terminals.
Containment Trigger
Automated quarantine ticket created in your MES to hold suspect parts.
5-Why Root Cause Analysis
Quality team identifies the root cause using historical sensor correlations.
Recalibration & Verification
Operators adjust physical processes and log corrective action proofs.
Cpk Recovery Auto-Check
The platform monitors the next 30 points to verify Cpk returns above 1.33.
Inspections Connected to Every Module
Inspection data connects directly with your work orders, assets, and maintenance modules for complete operational visibility.
Work Orders
Auto-generate from failures
Assets
Link to equipment history
Preventive Maintenance
Schedule from findings
Reports & Analytics
Inspection metrics dashboards
Numbers from real engagements.
Achieve verified defect reductions on frontline tasks, as proven in automotive components deployments.
Transition from expensive 100% inspection to statistical sampling.
Deliver reliable process validation data to customers and certification bodies.
Built for teams that need this to just work.
Who this is for
- Plant and operations leaders who need timely, reliable decisions from production data.
- Quality, maintenance, and process teams moving beyond disconnected paper and spreadsheets.
- Manufacturers standardising workflows across lines, shifts, and sites.
- Digital transformation teams that need a pilot with a clear operational metric.
The operational building blocks your team needs.
Each implementation is configured around your process, decision points, and evidence requirements — not a generic software rollout.
Process Capability Index (Cp, Cpk)
Calculate process limits and capability scores dynamically to confirm production stays in spec.
Real-time Control Charts
Plot X-bar R, P, NP, and C charts automatically with instant alarms for out-of-control trends.
Acceptance Sampling Plans
Implement standardized MIL-STD sampling rules to inspect incoming parts with statistical confidence.
Six Sigma DMAIC Tools
Integrate analysis, pareto defect charts, and scatter plots for structured process optimization.
From the shop floor to the leadership view.
The solution is designed to fit the people, systems, and controls already operating in your plant.
Role-based workflows
Give operators, supervisors, engineers, and leaders the right tasks, approvals, and level of detail.
Action and escalation
Turn exceptions into owned follow-ups with clear status, context, and accountability.
Connected data
Bring together equipment, forms, files, and business-system data where it improves the operational decision.
Audit-ready evidence
Retain structured records of checks, changes, actions, and results for internal and customer reviews.
Multi-site standards
Use common workflows and measures while retaining the flexibility each plant needs.
Measured rollout
Start with a focused pilot and scale only after adoption and business impact are demonstrated.
A repeatable path, every time.
Discover
Map the current workflow, data sources, decision owners, and the metric that matters.
Configure
Set up forms, rules, integrations, and role-based views around the way your plant works.
Pilot
Run the solution on a focused line or workflow, validate adoption, and measure the result.
Scale
Extend proven workflows across assets and sites with governance and continuous improvement.
Industrial technology your operation can rely on.
We combine industrial data, connected workflows, and secure integrations to make this solution practical for real plant operations.
Industrial Data Layer
Plant data foundation
Workflow Engine
Digital operations
Operational Analytics
Decision support
Plant Dashboards
Performance visibility
The questions we hear most.
Can this work with our existing systems?+
Yes. We assess your current equipment, spreadsheets, ERP, MES, and data sources first, then integrate where it creates practical value.
Do we need to replace machines or software?+
No. The implementation is designed to complement your existing operation and can start with the data and tools you already use.
How do we start?+
We begin with one defined workflow, site, or production line and agree on the operational measure that will determine pilot success.
Most engagements span more than one practice.
Free consultation
Turn Your Vision
Into Reality
Ready to scope this in detail?
A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.