COFES 2015: Product lifecycle, supply chain and data networks

Product lifecycle, supply chain and data networks
Oleg Shilovitsky @beyondplm
Copyright © Beyond PLM 2015

Who am I?
I spent 20+ years developing engineering and
manufacturing software:
1990s: Selling and developing Autodesk apps in Israel
2000s: SmarTeam, Enovia, Dassault… working on PDM/PLM tech
2010-12: Inforbix… developed cloud search and data analytics tech (acquired by Autodesk)
2012-14: Autodesk… joining PLM360 team and later developing search for A360
2015: Consulting manufacturing companies at Beyond PLM.

Beyond PLM…

Beyond PLM…
I started to blog in 2008 and didn’t stop…
For the last 6 years I wrote ~1800 blogs about PLM and
related topics - technology, engineering, manufacturing...
It is about 1’000’000 words …and I learned a lot:
What I learned about PLM from six years of daily blogging

Products are getting more complex

Maintenance is getting more complex too

Complexity of hardware and software

Multi-disciplinary product data sets
Multiple data sets
(electronic, mechanic,
software, etc.)
Multiple disciplines (design,
configuration management
and lifecycle, system
engineering)

Product data management circa 1985...
Single database with tables. Data queries are relatively simple...

How to think about product data in 2010s
database
network
mobile
email
global
distributed
multiple
organizations
ERP
CRM
other
enterprise
data
We are past “single databases” point. Where is the right data?

Product data lifecycle
Product engineering is changing suppliers are evolving
Everything is happening in
motion
Customers are buying and using
our products
IoT: products are communicating in real timeCopyright © Beyond PLM 2015

Product data for better decision making
How to get right data from multiple places?

You want data looks like this…
Decision based data view

And not like that…

Complexity of product data in supply chain

Product data & supply chain options
Supply chain is a gigantic network of companies connected based on their
business cases, preferences and use cases. It creates large set of variation
and options that often cannot be analyzed by human
How to optimize that?

But it is complex for startups too…
75% of kickstarter hardware projects are missing delivery time.
Complexity of work with CM
(contract manufacturing):
Initial product data
Collaboration
Quotation
Options
Bidding and communication

PLM integration projects
Single Database and Federated platforms
Single databases
are dead.
We cannot pull
data in a single
place.
Federated
platforms are dead
on arrival…
The latency and
complexity of
integration is killing
factor
Integrations are complex, “data pumping” is very expensive

The era of networks is coming…
Thinks about all successful systems around us
They are NETWORK based

Focus on decisions workflows
We can solve complexity of data by focusing on decision
workflows brining right data at the right time.

PLM single point of truth
Single point of truth is disappearing and we are
coming to a single moment of truth in a network
of product data.

Got a question? Call me…
Thank you!oleg@beyondplm.com

COFES 2015: Product lifecycle, supply chain and data networks

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COFES 2015: Product lifecycle, supply chain and data networks