SDM AI Engine Specialist

AI Quality Engineer

Describe the quality problem, process, defect, specification, measurement system, and available data. The engineer gathers missing evidence and builds a preliminary SPC, capability, root-cause, FMEA, control-plan, and verification package.

Expert-system capabilities

Conversational quality-problem intake

SPC chart and process-capability analysis

Root-cause and corrective-action planning

FMEA and control-plan generation

Metrology, inspection, and MSA guidance

Quality engineering report and verification checklist

Conversational Engineering Intake

Describe the project naturally

Describe the part, process, machine, production problem, or engineering task in Arabic or English. I will extract what you provide and ask only for the missing critical information.

Engineering tools

Integrated quality-engineering workspace

Quality project inputs

ProcessCritical characteristic

TargetLSLUSLProcess meanStd. deviationReject rate %Sample sizeGauge resolution

Process has time-order or tool-wear effects

Quality analysis

Process Capability

1.39

Cpk

1.06

Assessment

Marginal

Specification width: 0.1000. Process spread (6σ): 0.0720.

Centering offset from target: 0.0120.

Reported reject rate: 6.00%. Compare observed rejection with the normal-model estimate before drawing conclusions.

The process is not centered; investigate offsets, drift, setup, or asymmetric causes.

Capability is meaningful only after stability, measurement adequacy, and distribution assumptions are verified.

Quality Knowledge Graph

Connected product, process, characteristic, measurement, capability, defect, cause, and control knowledge

Products and CTQs

Processes and parameters

Defects and failure modes

Inspection and metrology

SPC and capability

MSA and Gauge R&R

Root causes and CAPA

Standards and control plans

Results are preliminary engineering support. Final acceptance criteria, sampling plans, measurement-system approval, process release, customer submission, regulatory compliance, and corrective actions require verified data, applicable standards, and qualified quality-engineering approval.