About

Spring Engineering Intelligence Platform

Customer-ready engineering platform for spring manufacturers — reduce scrap, shorten PPAP cycles, and ship with confidence.

Business contact: markying2014@gmail.com

Elevator Pitch

Turn spring designs into production-ready decisions: manufacturability, risk drivers, and PPAP-grade quality evidence — in one workflow.

Typical pilot: one product family, one line, 2–4 weeks — with measurable ROI.

Why It Matters

Disconnected workflows

  • Engineering: calculations exist, but yield and manufacturability are unclear.
  • Production: firefighting after issues occur — scrap and line stops.
  • Quality: PPAP/SPC evidence takes manual effort and is hard to standardize.

Result

Scrap, rework, delayed SOP, and audit pressure — plus PPAP cycles that keep getting rejected.

Typical Customer Scenarios

Three common situations where teams need fast, evidence-based decisions.

New Program Launch

Before SOP, you need to know what will break first: manufacturability, risk drivers, and which actions matter.

  • Output: risk badge + drivers + prioritized actions
  • Reduce PPAP rejections and avoid late design changes
Mass Production Fluctuation

Scrap rate spikes, alarms increase, and quality drifts — but the team can’t tell whether it’s machine, process, or design.

  • Correlate anomalies with machine, batch, and time window
  • Make root-cause investigation systematic and faster
Customer Audit & PPAP

When customers ask for evidence, the bottleneck is not analysis — it’s assembling consistent, auditable documentation.

  • One-click evidence pack: SPC + capability + audit-ready PDF
  • Traceable results that auditors can review and sign

Pilot Timeline

A practical 4-step process to reach measurable outcomes in 2–4 weeks.

1

Scope & Success Metrics

Define product family, line, and KPI (scrap, FPY, PPAP cycle time).

2

Ingest Specs & Data

Onboard drawings/specs + one dataset (SPC or inspection) and map fields.

3

Run Risk + Evidence

Generate risk radar, drivers, and an audit-ready quality evidence pack.

4

Deliver ROI & Rollout Plan

Review results, quantify ROI, and define the next integration path (CSV/API/MES).

What You Get

Three connected modules with concrete outputs your team can act on.

Engineering Risk Radar

A design gate that outputs a clear risk badge, drivers, and prioritized actions — before production.

  • Engineering OK
  • Manufacturing Risk
  • High Risk

Explainable by engineers: rules + interpretable metrics, with traceable evidence.

Manufacturing & Production Intelligence

Connect production signals (machine status, takt, scrap, alarms) to the design and batch context.

  • Pinpoint where problems originate: machine, process step, or specific time window.
  • Help teams decide what to change first — design, process, or equipment.
Professional Quality Analytics & Reporting

One-click SPC/PPAP evidence packs: capability results, rule-based alarms, and audit-ready PDF exports.

Standardize reporting, shorten PPAP loops, and reduce manual effort.

Key Differentiators

Traditional toolsOur platform
Single-point calculationEngineering + Manufacturing + Quality
Static modelReal-time / production data-ready
Manual PPAP/SPC documentationAudit-ready evidence pack in one click
Manual judgmentSystematic risk assessment
Black-box outcomesExplainable, traceable conclusions
Technology Philosophy
  • Rule-first, AI-assisted: statistics and engineering rules are the foundation; AI helps pattern detection and root-cause hints.
  • Explainability over prediction: every conclusion can be reviewed by engineers.
  • Industrial-grade architecture: modular analytics and report generation, ready for high-throughput data.
Who It’s For
  • Spring & precision component manufacturers
  • Automotive / industrial equipment supply chains
  • Quality teams needing PPAP / SPC / capability analysis
  • Engineering teams reducing trial-and-error cost

Industrial Knowledge Embedding & Advanced Modules

We want to embed industrial spring knowledge (from internal presentations) into our system, not as static PPT, but as structured product capabilities.

Arc Springs & Spring Packs Design Module

Core Mission & Goals

Deliver industrial-grade precision for Arc Springs through 'Digital Twin' modeling — reducing physical scrap and accelerating the SOP cycle.

  • Digital twin precision (Physics-aligned)
  • Manufacturing-ready geometry export

System Architecture

  • Unified Spring Registry: Support for Arc, Compression, and Spring Packs
  • Pipeline: Backbone Generator → Shell Extruder → Physical Validator
  • Type-specific geometry kernels for unique manufacturing constraints

Key Technical Requirements

Parametric Modeling

  • Variable wire & mean diameter
  • Variable pitch & arc length integration
  • Arc geometry (Radius, Free/Block Angle)

Engineering Math

  • Toroidal Helix (True geometry)
  • Angle-based parametric centerline
  • Curvature-compensated pitch integration

Manufacturing Awareness

  • Grinding depth control (mm definition)
  • Stress/load validation vs wire limits
  • Automatic manufacturing constraint alerts

Simulation Readiness (FEM-ready)

Explicit torque, stiffness, and contact regions for high-fidelity nonlinear industrial simulation.

Manufacturing Excellence & Production Capabilities

Combining decades of industrial heritage with next-generation digital intelligence — we deliver precision at scale.

Advanced Equipment
  • CNC multi-axis coiling
  • Automated grinding lines
  • Precision heat treatment
Technical Leadership
  • Real-time 3D simulation
  • CAD/CAM integrated design
  • Proprietary rule engine
Quality Assurance
  • Automated optical inspection
  • IATF 16949 compliant
  • SPC process control
Customer Ecosystem

Trusted by global automotive OEMs, Tier 1 suppliers, and specialized industrial equipment leaders.

Business Impact
Reduce scrap and rework
Increase first pass yield (FPY) and stability
Shorten PPAP loops and time-to-SOP
Standardize audit-ready reporting with less manual work
Status
Engineering calculation and Engineering Risk Radar are live
Quality analytics and reporting system is available
Production data integration and closed-loop optimization
Industry rule library and customer-specific models

Customer Outcome

Launch programs faster with fewer surprises — a shared, evidence-based workflow across engineering, production, and quality.

Contact / Next Steps

  • 30-min discovery: goals, constraints, and success metrics
  • Pilot inputs: drawing/spec + 1 dataset (SPC or inspection)
  • Deliverables: risk radar + evidence pack + action list

Optional

  • Integration checklist (CSV / API / MES)
  • ROI estimate and pilot plan template
  • Sample report pack (SPC / PPAP / audit-ready PDF)

Business contact: markying2014@gmail.com

About | Spring Engineering Intelligence Platform