The document discusses the challenges and realities of managing product lifecycle management (PLM) data in manufacturing, highlighting the limitations of traditional, siloed architectures and the need for a single source of truth (SSOT) across organizations. It emphasizes the transition to modern multi-tenant and polyglot persistence architectures that facilitate data interconnectedness and the importance of using cloud-based services for effective digital transformation. Ultimately, it concludes that focusing on data flows, rather than databases, is essential for successful PLM implementation in the evolving landscape of manufacturing.

1. PLM Data Management Strategy
Oleg Shilovitsky, CEO OpenBOM
© OpenBOM, 2022
How Do You Establish a Common Strategy Across Disparate
Systems to Form One Single Source of Truth?

2. A typical siloed manufacturing organization
© OpenBOM, 2022

3. Data Handover Is A Problem
Tier 1
OEM
Tier 2-n
Partner
© OpenBOM, 2022

4. The Reality of Many Manufacturing Organizations
Digital Transformation
Data Management
© OpenBOM, 2022

5. How to organize a SSOT for Product Information?
© OpenBOM, 2022
Data warehouse, Index,
Search
One Database for All
Data and Process
Orchestration

6. Vision vs Reality
The ideal picture of lifecycle
A typical company picture of
enterprise IT environment
© OpenBOM, 2022
Source Wikipedia: https://en.wikipedia.org/wiki/Product_lifecycle

7. PLM Vision vs Reality of CAD Data Management
vs.
Source: Solidworks blog
(https://blogs.solidworks.com/solidworksblog/2017/08/feeding-dinosaur-pdmplm-landscape.html)
© OpenBOM, 2022

8. Modern Manufacturing - The Problem Is Getting Bigger
© OpenBOM, 2022

9. A Single PLM Database Vision - How Real Is That?
OEM
OEM
design center
After Market
Service
Company
Supplier
Tier 1
Supplier
Tier 2
Supplier
Tier 1
Factory
B
Factory
A
Single PLM Database
?
© OpenBOM, 2022

10. The Reality Of A Single PLM Database
OEM
OEM
design center
After Market
Service
Company
Supplier
Tier 1
Supplier
Tier 2
Supplier
Tier 1
Factory
B
Factory
A
DB
DB
DB
DB DB DB
DB
DB
Multi-disciplinary data, complex network and orchestration
© OpenBOM, 2022

11. Visible Simplicity Vs. Database Complexity
© OpenBOM, 2022

12. How to manage a single data structure for multiple vendors?
© OpenBOM, 2020
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Single Database limitations Lifecycle Challenge

13. PLM Digital Evolution - Networks and Connected Apps
© OpenBOM, 2022
Drafting Boards CAD Files PLM Database Connected Apps
Paper File Data SaaS and Networks
NEW
1970s 1980s 1990s 2000s 2010s 2020s

14. PLM Technological Evolution - New System Architecture
© OpenBOM, 2020
NEW

15. Data Management Transformation- New Data Architecture
© OpenBOM, 2022
Files Databases and
P2P Integrations
Data and Integration
Hubs
Online
Services
BOM in Excels,
PDF drawings, etc.
No integration.
Sent via emails.
Enterprise Systems
(MRP, PDM, PLM,
ERP), etc. integrated
with point to point
Centralized system to
store all data
(integration hubs,
search, noSQL, etc.)
Centralized system to
store all data
(integration hubs,
search, noSQL, etc.)
NEW

16. PLM IT Evolution - Moving from SaaS to Data Services
Company Servers Cloud Servers SaaS applications
PLM
Server
Access
Network
On demand
IaaS & virtualization
PLM
Server
One application
Multi-tenant
Company1
Company 2
Company 1
Company 2
PLM App
Company1
Company 2
Platform Services
Shared Data
New Business Models
We are here….
1990s 2000s 2010s 2020s 2030s
© OpenBOM, 2022

17. Digital Transformation of Driving - 30 years
Siloed information - maps, locations, shops,
traffic, changes, hotels, restaurants, gas
stations...
Organized network of data about roads,
traffic, weather, hotels, cars, places of
interest, people and many others...
© OpenBOM, 2022

18. The Era Of Networks and Data Services Is Here
What common between these companies?
They are NETWORK based
© OpenBOM, 2022

19. We Need To Build Networks
vs
© OpenBOM, 2022
What does it mean and how to do so?

20. Data Management Transformation. DB is Not Your SSOT.
© OpenBOM, 2022
Database is just a tool to store and retrieve data
20 Years Ago Now

21. System Evolution - Multi-Tenant Architecture and Polyglot Persistence
Moving from Silos to Connected Data Sets and Networks
© OpenBOM, 2022
RDB
App App
RDB
App
Legacy Single Tenant Stack Modern Multi-Tenant Stack
vs.
App App
App Services
Tenant 1 Tenant 2
DB1 DB2 DB3
Polyglot persistence
App
Multi-Tenant Data Model

22. PLM Data Architecture Evolution
Proprietary data schema Fixed data schema Flexible data schema
Object-relational model
Global Data Architecture
Flexible data schema
Data Federation
Object-relational model
Flexible data schema
Data Federation
Object-relational model
Proprietary databases
Single Computer
SQL Databases
Single Server
SQL Databases
Data Replications
Multiple Servers
SQL Databases
NoSQL databases
Data Replications
Microservices architecture
High Availability
SQL Database
Search/index
Data Replications
Multiple Servers
Workgroup Database Company (single tenant) Multi-tenant servers
Network architecture
Multi Tenant Data
Multi-tenant servers
Single Tenant Data
One Network
File Vaults
One database
File Vaults
One database
Replicated File Vaults
Data Services
Polyglot Persistence
Database clusters
Cloud File storages
One database
Database clusters
Replicated File Vaults
Data
Storage
P&O
Data
Mngmt
Data
Modeling
© OpenBOM, 2022

23. A typical multi-tenant polyglot persistence architecture
Multi-tenant platform
It is all about “Data” and not about “Databases”
Online Service
© OpenBOM, 2022

24. Multi-Tenant Platforms Add A Network Architecture Layer
Biz Unit
Biz Unit Biz Unit
Biz Unit
Tier1
Tier1 Tier1
Tier1
Tier 2
Tier 2 Tier 2
Tier 2
Service2 Service2
Distributor Tier N
Tier N
Distributor
PLM
backbone
PLM
Backbone
PLM
Backbone
PLM
backbone
OEM 2
OEM 3
OEM 4
OEM 1
Enterprise SaaS
(single tenant instances)
Public or Private cloud
Single Instance of Network Platform
OEM 2
OEM 3
OEM 4
OEM 1
Biz Unit
Biz Unit Biz Unit
Tier1
Tier1
Tier1
Tier1
Tier 2
Tier 2
Tier 2
Tier 2
Service2 Service2 Distributor Tier N Tier N
Distributor
Biz Unit
Multi-tenant
PLM Platforms
Public or Private cloud
VS
+Network Layer
© OpenBOM, 2022

25. SSOT: Hosted PLM Architecture vs Network SaaS Architecture
IaaS / PaaS: AWS, GCP, Azure, etc.
Hosted PLM Databases & Platforms
IaaS / PaaS: AWS, GCP, Azure, etc.
PLM Services
Network Layer
REST APIs and Low Code
Properiery APIs and Custom Solutions
Customers
Partners
Suppliers
OEMs Customers
Partners
Suppliers
OEMs
© OpenBOM, 2022

26. Instant Sharing and Real-Time Collaborative Apps
● Clear Communication
● Less Confusion
● Saves Time
● Increase Productivity
● Saves Money
● It’s fun
OpenBOM™ Patented BOM Collaboration
© OpenBOM, 2022

27. Digital PLM Value Chain Transformation
Model
Connect
Visualize
Excel
ERP
PLM
CAD
DB
Analog Data Technologies Share & Collaborate
Human
Analysis
Applications
Information
Data Assets
© OpenBOM, 2022

28. The architecture and tech was tested using OpenBOM platform
© OpenBOM, 2022

29. Conclusion Thoughts…
● Single PLM dream is over. Traditional PLM architectures are built around SQL
databases are limited, siloed and cannot be used efficiently in modern manufacturing
environment
● SaaS platforms and data services is a way to focus on information flow and data
handover in organization. It is about data and not a database.
● There is a need to break through company boundaries. Modern multi-tenant
architectures provide a network layer to connect people across multiple organizations
● Companies increasingly looking how to use IaaS and PaaS platforms as foundation
for their solutions
● Multi-tenant SaaS solutions is a platform for SMEs
● PLM services is the way to integrate SaaS solutions for enterprise
● Education is extremely important to support digital transformation
© OpenBOM, 2022

30. Thank you!
Questions?
Oleg Shilovitsky
oleg@openbom.com
CEO OpenBOM, Blogger BeyondPLM