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FMEA-AI™ Analysis System

ระบบวิเคราะห์ความเสี่ยงอัจฉริยะตามมาตรฐาน AIAG-VDA PFMEA
กรุณานำเข้าข้อมูลโรงงานตามขั้นตอนด้านล่างเพื่อเริ่มต้นการวิเคราะห์

1 นำเข้าข้อมูล Machine / Equipment List จากเมนูด้านซ้าย

2 นำเข้าข้อมูล Special Product Characteristics

3 นำเข้าข้อมูล NCR Log

4 นำเข้าข้อมูล Process Flow Chart

5 เข้าสู่เมนู PFMEA (AIAG-VDA) แล้วกดปุ่ม Generate AI FMEA

✓

Define Scope

✓ Complete

✓

Input Factory Data

✓ 3 datasets

✓

AI Analysis

✓ 14 FM · 50 causes

PFMEA Generation

▶ In Progress

Control Plan

Pending

Action & Improve

Pending

🏭 Factory Knowledge Base (Based Data)4 datasets loaded

⚙️

Machine / Equipment

25 machines · 9 categories

IATFISO 9001RubberPU

📋

Special Product Char.

18 characteristics

4 × CC9 × SC

⚠️

NCR Log

57 records · 2023–2026

HondaInternal

🔄

Process Flow

14 steps · MSA data

AIAG-VDAPRM-001

🤖 AI Analysis SummaryBased on Factory KB

Failure Modes Identified

High Risk Items (AP=H)

Prevention Controls

Improvement Actions

Risk Level Distribution

AP = H

36%

AP = M

57%

AP = L

📋 PFMEA (AIAG-VDA) — AI Generated Results AI Generated

#	Process Step	Failure Mode (FM)	Failure Cause (FC) — Primary	S	O	D	AP	Char.	AI Recommendation	Status	Target
Generate AI FMEA from the PFMEA menu to populate this table.

📈 Top 5 High Risk Items

By AP Priority Score (S×O×D)

Ranked by RPN = S × O × D · AP=H items only

📉 NCR Defect Trend

Monthly defective qty · 2023–2026

🔍 Risk by Cause Category

4M Analysis from NCR Data

⚙️ Machine & Equipment Capability List

Trade Master International Co., Ltd. · Nonthaburi Plant · IATF 16949:2016 Compliant · Doc: TMIC-MCH-001 Rev.1

No.	Machine / Equipment Name	Model / Brand	Process Step	Qty	Power	Year	Standard	Specification / Remarks

📋 Special Product Characteristics List

Part: KYB-PK-A2023-Rev.A · Shock Absorber Protection Kit (Bump Stop + Dust Boot) · CP-KYB-PK-001

No.	Description / Rationale	Specification / Tolerance	Class

⚠️ NCR Log — Non-Conformance Record

Bracket Assembly (Honda) · TMIC-NCR-001 Rev.0 · Part No.: BRK-001 · Customer: Honda · Plant: Nonthaburi

NCR No.	Date	Process Step	Defect Description	Root Cause	Qty	Disposition	Customer	Corrective Action	Status

📊 Process FMEA — AIAG-VDA 2019 Format

PFMEA-TMI-2026-001 · Shock Absorber Protection Kit · Rev. 0 · 2026-06-07

STEP 1 — Planning & Preparation

Company Name

—

Subject / Part Name

—

PFMEA ID Number

—

Engineering Location

—

PFMEA Start Date

—

Process Responsibility

—

Customer Name

—

PFMEA Revision Date

—

Confidentiality Level

—

Model Year / Platform

—

Cross-Functional Team

—

PFMEA Analysis Table — Steps 2–6 Blank Form — Click Generate to fill with AI

#	STEP 2 · STRUCTURE ANALYSIS			STEP 3 · FUNCTION ANALYSIS			STEP 4 · FAILURE ANALYSIS & RISK (Steps 4–5)									STEP 6 · OPTIMIZATION
#	1. Process Item System / Part Name	2. Process Step Station No. & Name	3. Work Element 4M Type	1. Function of Process Item	2. Function of Process Step	3. Function of Work Element	1. Failure Effects (FE) Your Plant / Next / End User	S	2. Failure Mode (FM) of Process Step	3. Failure Cause (FC) of Work Element	Current Prevention Control (PC)	O	Current Detection Control (DC)	D	AP	Prevention Action (PA)	Detection Action (DA)	Responsible Person	Target Date	Status	Spec. Char.	S'	O'	D'	AP'
001	— Click "Generate AI FMEA" to populate this row with AI-generated content —
002	—
003	—
004	—
005	—

🔄 Process Flow & Requirement Matrix

TMIC-PRM-001 Rev.0 · Part: BRK-001 · Customer: Honda / KYB · Nonthaburi Plant · IATF 16949:2016 / AIAG-VDA PFMEA Step 1

🔄 Process Flow Chart — 14 Steps · Serpentine Layout

Click any step to view details ✓ 14 steps

← Click a process step above to view description, measuring devices & MSA requirements

About FMEA-AI™ — AI-Powered AIAG-VDA PFMEA Software

FMEA-AI™ is an intelligent Failure Mode and Effects Analysis (FMEA) platform developed by Trade Master International Co., Ltd. (TMIC) to help manufacturers achieve and maintain IATF 16949 and ISO 9001 compliance. The software follows the AIAG-VDA FMEA 2019 methodology — the internationally recognised standard for Process FMEA (PFMEA) used in automotive and high-technology manufacturing.

Traditional FMEA analysis is time-consuming, relies on scattered tribal knowledge, and produces inconsistent results across engineering teams. FMEA-AI™ solves this by combining Machine Learning root cause analysis, automated Action Priority (AP) calculation, and structured failure mode libraries into a single collaborative platform — reducing PFMEA preparation time by up to 70%.

Key Features

AIAG-VDA 6-Step PFMEA Workflow — Structure Analysis, Function Analysis, Failure Analysis, Risk Analysis, Optimization, and Results Documentation
AI Failure Mode Generation — auto-generates Failure Modes, Failure Effects, and Causes (4M: Man, Machine, Material, Method) based on your Process Flow Chart
Action Priority (AP) Matrix — H / M / L priority computed from Severity, Occurrence, and Detection ratings per AIAG-VDA guidelines
Special Characteristics Management — full support for Critical Characteristics (CC) and Significant Characteristics (SC) per IATF 16949 customer-specific requirements
Root Cause Validation with DOE — suggests Design of Experiments and statistical validation plans for high-priority failure causes
Control Plan Auto-generation — converts PFMEA Prevention and Detection Controls into a structured Control Plan linked to process steps
NCR Log Integration — maps historical Non-Conformance Reports to PFMEA failure modes, closing the feedback loop between production quality data and risk analysis
Excel Export — outputs AIAG-VDA compliant PFMEA worksheets ready for customer submission and third-party audit

Who Is FMEA-AI™ For?

FMEA-AI™ is designed for Quality Managers (QMR), Process Engineers, Manufacturing Engineers, and IATF 16949 Lead Auditors in automotive, electronics, semiconductor, and precision manufacturing industries. It is particularly valuable for suppliers to Tier 1 automotive customers such as Honda, Toyota, Bosch, and Denso that require AIAG-VDA aligned PFMEA documentation.

Deployed by TMIC — Thailand's IATF 16949 Consulting Specialists

FMEA-AI™ is built and deployed by TMIC (Trade Master International Co., Ltd.), a Thailand-based ISO and IATF 16949 consulting firm with proven implementation experience across automotive, electronics, and food manufacturing sectors. TMIC provides FMEA training, PFMEA facilitation workshops, and AI Smart Factory solutions that integrate FMEA-AI™ into broader digital quality management systems (digital QMS).

For consulting inquiries, PFMEA facilitation workshops, or a full FMEA-AI™ enterprise deployment, contact TMIC at www.tmic-ai.com/contact.html.