Advanced AI in Engineering
SMART WAY OF WORKING Modern Concept of Engineering Drawing
The strongest proposed architecture
SMART CONTROLLED ENGINEERING DRAWING — SCED
S — Secure
Access controlled
C — Controlled
Only approved revision
E — Electronic
Digital issue and traceability
D — Dynamic
Revision/expiry/change aware
And the central philosophy:
“One Part – One Digital Identity – One Approved Source – One Controlled Issue.”
Digital Innovation for Engineering Design, Quality, Procurement, Manufacturing & Data Security
“From Engineering Drawing to Engineering Intelligence”
आज Engineering केवल drawing बनाने, print निकालने और vendor को भेजने तक सीमित नहीं है। Modern Engineering में Design Data + AI + Digital Identification + Quality Control + Change Management + Cyber/Data Security को एक integrated system में जोड़ना आवश्यक है।
एक modern engineering drawing ऐसी होनी चाहिए जो केवल यह न बताए कि “Part कैसे बनाना है?”, बल्कि यह भी बताए:
कौन-सी information critical है?
किस dimension पर inspection priority होनी चाहिए?
कौन-सी drawing controlled copy है?
यह drawing किस department के लिए issue हुई?
किस vendor को issue हुई?
drawing कब print हुई?
वर्तमान revision कौन-सा है?
क्या drawing अभी valid है?
engineering change हुआ है या नहीं?
क्या vendor के पास latest approved information है?
यही approach Smart Way of Working का आधार बन सकती है।
1. Modern Engineering Drawing – What Should Change?
Traditional engineering drawing generally focuses on:
Geometry → Dimensions → Material → Tolerance → Notes → Revision
Modern engineering drawing should expand this model to:
Design + Function + Criticality + Digital Identity + Traceability + Security + Change Control
Traditional Drawing
Drawing → Print → Vendor → Manufacturing → Inspection
Modern Digital Engineering Drawing
Engineering Data → AI-assisted Design → Digital Drawing → Unique ID → QR Code → Controlled Issue → Manufacturing → Inspection → Feedback → Change Management → Latest Revision
इससे engineering drawing एक static document के बजाय controlled engineering information asset बन जाती है।
2. Smart Way of Working
SMART = Simple, Measurable, Automated, Reliable & Traceable
Modern engineering workflow का उद्देश्य केवल automation नहीं होना चाहिए।
इसका उद्देश्य होना चाहिए:
Critical
जो information product safety, function, interchangeability या quality को प्रभावित करती है, उसे clearly identify करना।
Saves Money
Unnecessary inspection, rework, scrap, wrong manufacturing और obsolete drawing usage को कम करना।
Saves Efforts
Engineering, Quality, Purchase और Vendor teams के repetitive manual activities को कम करना।
Good to Have
Additional digital features जैसे QR code, barcode, digital stamp, automatic notification और analytics।
3. Advanced AI in Engineering
AI को Engineering Drawing में केवल image generation या drafting tool के रूप में नहीं देखना चाहिए।
AI का उपयोग Engineering Decision Support के लिए किया जा सकता है।
Possible AI Applications
| Engineering Activity | AI Application |
|---|---|
| Drawing creation | AI-assisted drafting |
| Dimension analysis | Automatic identification of critical dimensions |
| Tolerance analysis | Tolerance risk detection |
| Drawing review | Missing information detection |
| Revision control | Change comparison |
| Inspection | Risk-based inspection planning |
| Quality | Historical defect correlation |
| Vendor management | Drawing issue verification |
| Engineering change | Automatic impact analysis |
| Data security | Obsolete-copy detection |
| Spare parts | Part identification |
| BOM | Automatic consistency checking |
AI-Based Drawing Review
AI drawing release से पहले check कर सकता है:
Dimension → Tolerance → Material → Surface Finish → GD&T → Revision → Part Number → Drawing Number → Missing Notes → Duplicate Dimensions
AI engineer का replacement नहीं है।
AI should act as an Engineering Co-Pilot.
Final engineering responsibility और approval मानव engineer के पास रहनी चाहिए।
4. Digital Innovation: Practical Process for Modern Engineering Drawing
एक practical digital workflow इस प्रकार बनाया जा सकता है:
STEP 1 – Engineering creates drawing
↓
STEP 2 – Engineering system assigns unique drawing/part identity
↓
STEP 3 – AI-assisted validation
↓
STEP 4 – Critical dimensions are identified
↓
STEP 5 – Drawing receives revision/change information
↓
STEP 6 – System generates Control Copy information
↓
STEP 7 – QR Code / Barcode generated
↓
STEP 8 – Department/Vendor-specific digital issue
↓
STEP 9 – Controlled PDF/JPG generated
↓
STEP 10 – Manufacturing / Inspection
↓
STEP 11 – QR scan verifies validity
↓
STEP 12 – Engineering change automatically updates the digital system
यह workflow PLM/PDM + ERP + Quality + Procurement + Vendor Portal को जोड़ सकता है।
5. CONTROL COPY – The Core of Modern Engineering Drawing
सबसे महत्वपूर्ण concept है:
CONTROL COPY
हर drawing print को एक unique digital identity मिलनी चाहिए।
Suggested Control Copy Information
16-Digit Unique Issue Number
Issue to Department:
Project / Purchase / Quality / Manufacturing
Vendor Information:
Vendor Name / Vendor Code
Drawing Print Date:
DD-MM-YYYY
Revision:
Current approved revision
QR Code / Barcode:
Digital verification
Responsible Department:
Engineering / Project / Quality / Purchase
6. Example of Digital Control Stamp
एक drawing के नीचे या title block के पास system-generated digital stamp दिखाई दे सकता है:
CONTROLLED COPY
Issue No.: 2610011500234789
Department: QUALITY
Vendor: XYZ Engineering Pvt. Ltd.
Print Date: 01-10-2026
Drawing Revision: B04
Valid Until: 31-10-2026
QR Code: Verify Latest Revision
Issued By: Engineering Data Management
यह information manually type नहीं होनी चाहिए।
The system should generate the stamp automatically.
इससे manual error कम होगा और traceability बढ़ेगी।
7. Why 16-Digit Unique Issue Number?
हर issued copy को केवल Drawing Number से identify करना पर्याप्त नहीं है।
एक drawing की अनेक copies हो सकती हैं:
Drawing No. → Revision → Department → Vendor → Issue Event
इसलिए प्रत्येक issue event को अलग 16-digit Unique Issue Number दिया जा सकता है।
Example Structure
एक organization अपने internal standard के अनुसार:
YY + Site + Department + Drawing/Transaction Identifier + Sequence
जैसा structured number बना सकती है।
उदाहरण:
2610011500234789
यह केवल illustrative example है। वास्तविक numbering structure organization की PLM/PDM architecture और security requirements के अनुसार define होना चाहिए।
8. QR Code – From Drawing to Digital Information
QR Code modern engineering drawing का महत्वपूर्ण component बन सकता है।
QR Code में पूरी drawing information store करने के बजाय:
QR Code → Secure Web Portal → Latest Authorized Information
का approach बेहतर है।
QR scan करने पर system verify कर सकता है:
Drawing Number
Revision
Issue Number
Vendor
Department
Validity
Approval status
Latest revision
Obsolete status
Example
SCAN QR
↓
Drawing ID: DRG-458721
↓
Revision: C07
↓
Status: VALID
↓
Issued to: XYZ Vendor
↓
Valid Until: 31-10-2026
↓
Latest Revision Available: C08
यदि C08 available है, system user को पुराने C07 document पर निर्भर रहने के बजाय latest authorized copy download करने के लिए portal पर भेज सकता है।
9. Where QR Codes / Barcodes Can Be Used?
Digital identification केवल engineering drawings तक सीमित नहीं होनी चाहिए।
QR/Barcode Application
Engineering Drawings
Material Number
Item Number
Part Number
Spare Parts Book
Purchase Orders
Inspection Documents
Quality Certificates
Manufacturing Documents
Equipment Identification
Assembly Identification
Packaging
Vendor Documents
इससे physical product और digital engineering information के बीच Digital Thread बनाया जा सकता है।
10. Unique Identification Number for Every Item
हर important engineering item को unique digital identity दी जा सकती है।
Example
Part Number: P-458721
Unique Item ID: 2610014587210098
Revision: B03
Material: EN 10025 S355
Status: Released
यह information ERP/PLM/PDM system से connected हो सकती है।
इससे:
Part → Drawing → BOM → Purchase Order → Vendor → Inspection → Spare Part
एक connected digital chain में आ सकते हैं।
11. Data Security – Less Information on Physical Drawing
Modern engineering drawing में एक महत्वपूर्ण principle हो सकता है:
“Need-to-Know Engineering Information”
हर printed drawing में unnecessary information नहीं होनी चाहिए।
उदाहरण के लिए vendor को केवल manufacturing के लिए आवश्यक information मिले, जबकि internal engineering system में:
Complete design history
Design rationale
Internal notes
Previous revisions
Supplier strategy
Internal calculations
जैसी information सुरक्षित रखी जा सकती है।
Principle
Less information on uncontrolled physical copies = Lower information exposure
लेकिन यह अपने-आप में complete cybersecurity solution नहीं है। Access control, encryption, authentication, watermarking और audit logs भी आवश्यक हैं।
12. Modern Concept of Engineering Drawing
AIM: REDUCING INSPECTION COST
आज कई manufacturing environments में हर dimension को समान importance से inspect करने की कोशिश की जाती है।
लेकिन हर dimension का product risk समान नहीं होता।
इसलिए drawing में dimensions को उनकी engineering importance के अनुसार classify किया जा सकता है।
Proposed Dimension Classification
Mounting Dimension
Functional Dimension
Important Dimension
Safety Dimension
Critical Dimension
13. Risk-Based Dimension Identification
1. Mounting Dimension
वह dimension जो component को दूसरे component/system के साथ correctly mount करने के लिए आवश्यक है।
2. Functional Dimension
वह dimension जो product के functional performance को directly affect करता है।
3. Important Dimension
वह dimension जो product quality और performance के लिए significant है।
4. Safety Dimension
वह dimension जिसके deviation से safety performance प्रभावित हो सकती है।
5. Critical Dimension
वह dimension जिसके deviation से:
Product failure
Safety risk
Functional failure
Interchangeability problem
Major rework
हो सकता है।
14. Red Engineering Drawing Symbols
Critical information को drawing में visually highlight करने के लिए standardized symbols का उपयोग किया जा सकता है।
Proposed Concept
RED STAMP / RED SYMBOL = Special Engineering Attention
उदाहरण:
🔴 M = Mounting Dimension
🔴 F = Functional Dimension
🔴 I = Important Dimension
🔴 S = Safety Dimension
🔴 C = Critical Dimension
Actual symbols organization के engineering standard के अनुसार तय किए जाने चाहिए।
15. Model Engineering Drawing Symbols Table
Drawing के Title Block के पास एक Symbol Table रखा जा सकता है।
| Symbol | Meaning | Inspection Priority |
|---|---|---|
| M | Mounting Dimension | High |
| F | Functional Dimension | High |
| I | Important Dimension | Medium/High |
| S | Safety Dimension | Very High |
| C | Critical Dimension | Very High |
Drawing पर केवल symbol लगाया जाए और table उसका meaning explain करे।
इससे drawing reader को तुरंत पता चलेगा कि कौन-सी dimension विशेष attention मांगती है।
16. Symbol Count – Better Inspection Planning
एक additional concept यह हो सकता है कि drawing system automatically symbol count generate करे।
उदाहरण:
C = 3
S = 2
F = 5
M = 4
इसका अर्थ:
3 Critical Dimensions
2 Safety Dimensions
5 Functional Dimensions
4 Mounting Dimensions
इस information का उपयोग Quality Department inspection planning में कर सकता है।
17. AI + Risk-Based Inspection
यहाँ Advanced AI का वास्तविक उपयोग शुरू होता है।
AI historical data को analyze करके identify कर सकता है:
Dimension → Historical Failure → Supplier → Process → Defect → Cost
उदाहरण:
यदि किसी particular critical dimension में पिछले 12 महीनों में बार-बार deviation पाया गया है, तो system Quality team को additional inspection की recommendation दे सकता है।
Result
100% inspection everywhere
से move करके:
Risk-Based Smart Inspection
की दिशा में जा सकते हैं।
इससे inspection cost, inspection time और unnecessary measurement effort कम करने की संभावना बनती है।
18. Modern Engineering Change Management
Engineering change management में दो अलग dimensions को control करना आवश्यक है:
Global Change
और
Local Change
एक global engineering organization में यह distinction बहुत महत्वपूर्ण है।
19. Change Identification After Part Number
एक proposed approach में Part Number के बाद engineering change indicators रखे जा सकते हैं।
Example
PART NUMBER △△
जहाँ दो triangles engineering change status को indicate कर सकते हैं।
इसके बाद change classification:
Minor Change
Global Change
01–99
Local Change
a–z
Major Change
Global: 1–9
Local: A–Z
यह केवल एक proposed coding convention है। इसे organization-wide engineering standard के रूप में formally approve और configure किया जाना चाहिए।
20. Minor vs Major Engineering Change
Minor Change
ऐसा change जो generally product interchangeability को प्रभावित नहीं करता।
Examples:
Minor dimension clarification
Drawing note modification
Manufacturing clarification
Non-functional documentation correction
Proposed Coding
Global: 01–99
Local: a–z
21. Major Change
Major change का product, material, function या interchangeability पर significant impact हो सकता है।
Examples:
Material change
Major dimension change
Functional change
Safety-related change
Non-interchangeable component
Manufacturing process change affecting performance
Proposed Coding
Global: 1–9
Local: A–Z
22. Global Change vs Local Change
Global Change
जो सभी applicable plants, projects, products या regions में लागू हो।
Local Change
जो किसी specific:
Project
Customer
Plant
Country
Vendor
Application
तक सीमित हो।
इस distinction से engineering organization को यह समझने में मदद मिलती है कि:
“यह change कहाँ लागू है?”
और
“क्या सभी locations को नई revision अपनानी है?”
23. Time-Bound PDF – A New Data Security Layer
एक महत्वपूर्ण concept है:
Drawing Copy with Expiry Date
उदाहरण:
Valid for 30 Days
यदि vendor ने 1 October को drawing download की:
Download Date: 01-10-2026
Expiry Date: 31-10-2026
इसके बाद vendor को latest drawing authorized web portal से दोबारा download करनी होगी।
24. Why Expiry-Based Drawings?
Engineering में revision लगातार बदल सकती है।
यदि vendor के पास 6 महीने पुरानी drawing पड़ी है और engineering ने इस बीच revision बदल दी, तो obsolete information से manufacturing होने का risk पैदा हो सकता है।
Time-bound access इस risk को कम करने में मदद कर सकता है।
Proposed Workflow
Vendor Download
↓
Controlled Copy Generated
↓
30-Day Validity
↓
Expiry
↓
Vendor accesses portal
↓
System checks latest revision
↓
New Controlled Copy generated
इससे old uncontrolled copy पर dependency कम हो सकती है।
25. Consumer / Vendor View
Vendor या internal consumer के लिए अलग Controlled Drawing Portal होना उपयोगी हो सकता है।
User को केवल authorized information दिखाई दे:
Vendor Login
↓
Project
↓
Part Number
↓
Latest Approved Drawing
↓
Download Controlled Copy
↓
QR Verification
↓
Expiry
यह approach email attachments के uncontrolled circulation को कम कर सकता है।
26. Engineering Drawing Lifecycle
एक modern engineering drawing का complete lifecycle इस प्रकार हो सकता है:
CREATE
↓
AI CHECK
↓
ENGINEERING REVIEW
↓
QUALITY REVIEW
↓
APPROVAL
↓
CONTROLLED RELEASE
↓
QR / BARCODE GENERATION
↓
VENDOR / PROJECT ISSUE
↓
MANUFACTURING
↓
INSPECTION
↓
FEEDBACK
↓
ENGINEERING CHANGE
↓
NEW REVISION
↓
OLD REVISION CONTROL / OBSOLESCENCE
↓
LATEST CONTROLLED COPY
यह एक complete Digital Engineering Lifecycle बनाता है।
27. JPG First → PDF Second: Practical Approach
एक practical proposal यह हो सकता है कि final controlled drawing को पहले high-quality raster image जैसे JPG में generate किया जाए और फिर PDF container में रखा जाए।
इससे traditional vector-CAD information सीधे PDF में उपलब्ध रहने की संभावना कम हो सकती है।
लेकिन महत्वपूर्ण बात:
JPG → PDF conversion is NOT complete data security.
एक image-based PDF को भी:
Screenshot किया जा सकता है
OCR किया जा सकता है
Manually redraw किया जा सकता है
Photograph किया जा सकता है
Unauthorized तरीके से share किया जा सकता है
इसलिए इसे security layer के रूप में देखें, complete security solution के रूप में नहीं।
28. Recommended Digital Security Architecture
एक stronger approach:
Layer 1 – Authentication
Only authorized users can access the portal.
Layer 2 – Authorization
User को केवल required project/vendor drawings दिखें।
Layer 3 – Controlled Copy
हर download को unique issue number मिले।
Layer 4 – Digital Watermark
Vendor / Project / User / Date / Issue Number दिखाई दे।
Layer 5 – QR Verification
QR latest validity और revision verify करे।
Layer 6 – Expiry
Controlled copy limited period तक valid रहे।
Layer 7 – Revocation
Engineering change होने पर previous copy immediately invalid की जा सके।
Layer 8 – Audit Trail
System record करे:
Who → Downloaded What → When → For Which Vendor → Which Revision
यही approach engineering data protection को significantly stronger बना सकती है।
29. Proposed Modern Engineering Drawing – Complete Concept
SMART ENGINEERING DRAWING
एक modern drawing में निम्न elements हो सकते हैं:
Engineering Information
Drawing Number
Part Number
Material
Dimensions
Tolerance
GD&T
Surface Finish
Engineering Intelligence
Critical Dimension
Safety Dimension
Functional Dimension
Mounting Dimension
Important Dimension
Digital Identity
Unique Item ID
Revision
Change Number
16-Digit Issue Number
Digital Control
Controlled Copy
Issue Department
Vendor
Print/Download Date
Expiry Date
Digital Security
QR Code
Barcode
Watermark
User Authentication
Audit Trail
Revocation
30. Example of a Modern Drawing Title Block
| Field | Example |
|---|---|
| Drawing No. | DRG-458721 |
| Part No. | P-458721 |
| Revision | C07 |
| Change | G03 |
| Material | S355 |
| Issue No. | 2610011500234789 |
| Department | QUALITY |
| Vendor | XYZ Engineering |
| Print Date | 01-10-2026 |
| Valid Until | 31-10-2026 |
| Status | CONTROLLED COPY |
| QR Code | Verify Online |
| Critical Dimensions | 3 |
| Safety Dimensions | 2 |
| Functional Dimensions | 5 |
31. Business Benefits
Engineering
Faster drawing review
Better revision control
AI-assisted checking
Reduced manual effort
Better engineering traceability
Quality
Risk-based inspection
Critical dimension visibility
Reduced unnecessary inspection
Better inspection planning
Faster verification
Purchase
Correct vendor-specific drawing
Controlled document issue
Reduced obsolete drawing usage
Better vendor traceability
Vendor
Clear latest approved information
Easy QR verification
Less confusion between revisions
Digital access instead of uncontrolled email copies
Management
Lower quality cost
Lower engineering effort
Better data security
Better traceability
Better digital governance
32. The Economic Logic
The real objective should not be:
“Let's add QR codes to drawings.”
The objective should be:
“Let's reduce the total cost of poor engineering information.”
Poor information can create:
Wrong Drawing
→ Wrong Manufacturing
→ Inspection Failure
→ Rework
→ Scrap
→ Delay
→ Engineering Clarification
→ Vendor Communication
→ Customer Impact
Therefore:
Better Engineering Information = Lower Total Cost of Quality
33. Proposed KPI Dashboard
The system can measure the impact of the modern drawing concept.
Engineering KPIs
Drawing release time
Drawing revision frequency
Engineering change cycle time
AI-detected drawing errors
First-time-right drawing %
Quality KPIs
Inspection cost
Critical dimension failure rate
Rework %
Scrap %
Supplier defect rate
Document Control KPIs
Obsolete drawing downloads
Expired-copy usage attempts
Controlled-copy compliance
QR verification count
Unauthorized access attempts
Business KPI
Cost Saved per Drawing / Project / Vendor
34. Implementation Roadmap
Phase 1 – Digital Control Copy
Implement:
Unique issue number
Vendor identification
Department identification
Revision
QR code
Download date
Expiry date
Phase 2 – Critical Dimension Classification
Introduce:
M / F / I / S / C
symbols.
Phase 3 – Engineering Change Management
Implement:
Global change
Local change
Minor change
Major change
Automated revision traceability
Phase 4 – AI Engineering Assistant
Introduce AI for:
Drawing checking
Dimension classification
Revision comparison
Change impact analysis
Inspection risk analysis
Phase 5 – Integrated Digital Engineering
Connect:
CAD + PLM/PDM + ERP + Quality + Procurement + Vendor Portal
35. Future Vision – Engineering Drawing 4.0
The future engineering drawing may no longer be simply a PDF.
It could become a Digital Engineering Object.
Digital Engineering Object
Part
3D Model
2D Drawing
BOM
Critical Dimensions
Material
Revision
Inspection Plan
Quality History
Supplier
Change History
Digital Identity
QR Verification
All connected through a common digital thread.
36. World Engineer Proposal
Modern Engineering Drawing – “Control the Information, Not Just the Drawing”
Proposed Principles
1. One Part – One Digital Identity
2. One Revision – One Approved Source
3. One Issue – One Unique Control Number
4. One QR Code – One Verification Point
5. Critical Dimensions – Clearly Identified
6. Engineering Changes – Globally Traceable
7. Vendor Copies – Time Controlled
8. Obsolete Drawings – Digitally Revoked
9. Inspection – Risk Based
10. AI – Engineering Co-Pilot
37. Final Concept
From “Drawing Control” to “Engineering Information Control”
Traditional thinking:
Drawing → Print → Send → Manufacture
Modern thinking:
Engineering Data → AI Validation → Criticality → Digital Identity → Controlled Copy → QR Verification → Smart Inspection → Change Management → Digital Audit Trail
This is the real Smart Way of Working.
The purpose of Modern Engineering Drawing is not to make drawings more complicated.
It is to make engineering information:
CLEAR
CONTROLLED
TRACEABLE
SECURE
INTELLIGENT
COST-EFFECTIVE
और सबसे महत्वपूर्ण:
“Right Information → Right Person → Right Revision → Right Time.”
Quick Answer
Modern Engineering Drawing is not just a new drawing format. It is a digital engineering-control system.
By combining AI + QR/Barcode + Unique 16-Digit Issue Number + Critical Dimension Symbols + Controlled Copy + Expiry + Global/Local Change Management + Risk-Based Inspection, organizations can create a more traceable and controlled engineering workflow.
The ultimate objective should be:
Less Rework + Less Inspection Cost + Less Engineering Effort + Better Data Security + Better Product Quality
Keywords
Advanced AI in Engineering, Modern Engineering Drawing, Smart Engineering, Engineering Drawing 4.0, Digital Engineering Drawing, Smart Way of Working
Control Copy Drawing, QR Code Engineering Drawing, Engineering Change Management, Critical Dimension, Functional Dimension, Safety Dimension, Risk Based Inspection, Digital Engineering, Engineering Data Security, Vendor Drawing Control, PLM PDM, Engineering AI
आधुनिक इंजीनियरिंग ड्राइंग, स्मार्ट इंजीनियरिंग, इंजीनियरिंग में AI, डिजिटल इंजीनियरिंग, कंट्रोल कॉपी, इंजीनियरिंग चेंज मैनेजमेंट, क्रिटिकल डायमेंशन, निरीक्षण लागत कम करना, इंजीनियरिंग डेटा सुरक्षा, QR कोड ड्राइंग
Description
Advanced AI और Digital Innovation के माध्यम से Modern Engineering Drawing का नया concept: Control Copy, 16-digit issue number, QR Code, Critical Dimensions, Risk-Based Inspection, Engineering Change Management और secure vendor drawing lifecycle.
One-Line Vision
“Modern Engineering Drawing: From a Static Document to a Smart, Secure and Traceable Digital Engineering Asset.”
Global Engineering is Moving from Traditional Drawing Control to Digital Engineering Information Control.
Siemens → Model-Based Definition / Digital Thread
PTC → PLM / Digital Thread / Change & Configuration Management
Dassault Systèmes → 3DEXPERIENCE / Change Actions
Rolls-Royce Power Systems → Digital Thread
Volvo CE → PLM + Supplier + Change Management
MBDA → CAD + PLM + Global Engineering Data
SPII → Model-Based Engineering + Supplier Data Flow
World Engineer Proposal
“Can India create the next step: Smart Controlled Engineering Drawing?”
Companies already using similar concepts
| Company | Similar practice already documented | Similarity to your concept |
|---|---|---|
| Rolls-Royce Power Systems | Digital thread, centralized product data, configuration/change control, engineering-to-manufacturing/procurement integration, single source of truth | Very High |
| Volvo Construction Equipment | PLM, authoritative product data, supplier access, configuration management, engineering change management, digital thread | Very High |
| MBDA | CAD + PLM integration, controlled partner access, component database, obsolescence management, SAP/MES integration, end-to-end traceability | Very High |
| Generac Power Systems | Engineering/service digital thread, engineering-derived service BOM, current documentation, product traceability | High |
| Polaris | PLM digital thread, engineering/manufacturing/service BOM connection, configuration/change management, role-based product information | High |
| SPII S.p.A. | Model-based engineering, 3D annotated models, supplier access to current information, version/change control, ERP-to-supplier document flow | Very High |
| Aish Technologies | Engineering/supply-chain/manufacturing digital thread, secure sharing of consistent product data with external partners, PDM/change/BOM management | High |
1. Rolls-Royce Power Systems
This is one of the closest examples to your overall philosophy.
Rolls-Royce Power Systems uses PTC Windchill + Creo as part of its digital thread. Its implementation connects engineering, manufacturing and procurement and provides a centralized source of product data. The company reports streamlined change management and configuration control, improved traceability and the ability for teams to work from the same released information.
Your concept:
Drawing → Control Copy → Revision → Vendor → Change → Latest Version
Their documented approach:
Engineering Data → PLM → Manufacturing → Procurement → Global Digital Thread
2. Volvo Construction Equipment
Volvo CE has implemented Windchill as a PLM/data-governance platform connecting engineering, operations, suppliers and customers.
Its documented approach includes:
- One authoritative source of product information
- CAD/PDM integration
- Configuration management
- Engineering change management
- EBOM → MBOM → SBOM relationships
- Supplier information flow
- Traceability
- Reduction of manual handovers
Volvo CE specifically describes using one system to manage engineering change requests and assess their downstream impact.
This is particularly close to your idea of:
Global Change + Local Change + Revision Control + Vendor Control
3. MBDA
MBDA is another very interesting benchmark.
Its documented digital transformation combines Creo + Windchill, with engineering, manufacturing, logistics and support connected through a digital ecosystem.
MBDA uses controlled access for partners, common component data, obsolescence management, supply-chain integration and connections with SAP and manufacturing systems. Its PLM environment supports a common source of engineering information across multiple countries.
This is close to your concept of:
Engineering → Controlled Data → Vendor/Partner → Manufacturing → Latest Revision
4. SPII S.p.A.
SPII is particularly interesting because it has moved toward model-based engineering.
Its documented implementation uses Creo and Windchill to create a connected engineering environment. Fully annotated 3D models have replaced traditional drawings for some assembly activities, while suppliers receive up-to-date approved information through connected processes.
This connects strongly with your idea:
Modern Engineering Drawing → Modern Engineering Definition
The industry trend is moving from:
2D Drawing as the primary definition
toward:
3D Model + PMI/Annotations + Digital Product Definition
5. Generac Power Systems
Generac provides another useful example.
Its digital thread connects engineering, manufacturing and service. Its service BOM is derived from the engineering BOM, maintaining engineering lineage and reducing manual reconstruction of product information. The company also describes replacing static documentation processes with a more connected approach so downstream information can stay aligned with engineering changes.
This is highly relevant to your concern:
“Vendor/consumer should not continue using an old drawing after engineering changes.”
6. Polaris
Polaris uses Windchill as the center of a PLM-enabled digital thread connecting:
Design → Engineering → Manufacturing → Sales → Service
The documented implementation connects Creo with EBOM/MBOM/SBOM structures and uses PLM to manage configurations and engineering-driven changes. It also provides role/task-based access to product information.
This supports your idea of giving different departments/users only the information they need.
7. Aish Technologies
Aish Technologies, a British systems-design and manufacturing company, has implemented a digital thread connecting engineering, supply chain and manufacturing.
The documented system provides:
- Product data governance
- Traceability
- PDM
- Configuration management
- Change management
- BOM management
- Secure sharing of product data across external partners
Where idea is different
The individual building blocks already exist,
proposed 16-digit Issue Number
Drawing → 16-digit unique issue number → Department → Vendor → Date → QR
This could become organization's unique Drawing Issue Identity.
-------------------------------------------------------------------------------------------------------------------
Proposed time-bound Control Copy
For example:
Download: 01-Oct-2026
Valid Until: 31-Oct-2026
After expiry:
“This copy is expired. Please download the latest controlled copy from the engineering portal.”
This is conceptually different from simply having revision control. It introduces a time-based consumption control layer.
-------------------------------------------------------------------------------------------------------------------
proposed QR verification
Instead of storing all information inside the QR:
QR → Secure Portal → Authentication → Current Revision → Validity → Issue Information
This is a strong architecture because the QR becomes a verification gateway, rather than simply a storage mechanism.
-------------------------------------------------------------------------------------------------------------------
Proposed Critical Dimension system
Your idea of explicitly classifying:
M = Mounting
F = Functional
I = Important
S = Safety
C = Critical
and then showing the count near the title block:
C=3 | S=2 | F=5 | M=4
is a particularly practical way to connect the drawing to risk-based inspection.
-------------------------------------------------------------------------------------------------------------------
Where the World Engineer Proposal adds a practical layer
Controlled Engineering Copy as a Digital Security Object
A better enterprise model would be:
| Document type | Suggested validity |
|---|---|
| Routine manufacturing drawing | 30 days |
| Project drawing | Project-defined |
| Critical/safety drawing | Short controlled validity |
| Long-term production drawing | Longer validity + automatic revision notification |
| Regulatory drawing | Compliance-defined |
| Emergency issue | Immediate/short-term |
The important principle is:
Expiry should be configurable according to engineering risk and business need.
