Thermo Fisher Scientific is looking to implement an enterprise product master solution to manage their large and growing product data in a centralized and scalable way. They were facing challenges with synchronization between their PLM and ERP systems and inconsistent product data models across business units. Oracle Product Hub Cloud was selected as it provides comprehensive product data management functionality including BOM and where-used capabilities needed to support their supply chain. It also enables supplier collaboration and integration with various Oracle and non-Oracle systems. The presentation discusses Thermo Fisher's vision and drivers for the solution as well as lessons learned from Pella Corporation's implementation.
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About Thermo Fisher Scientific
Thermo Fisher Scientific Inc. is the world leader in serving science,
with revenues of more than $20 billion and approximately 65,000
employees globally.
Through our premier brands – Thermo Scientific, Applied Biosystems,
Invitrogen, Fisher Scientific and Unity Lab Services – we offer an
unmatched combination of innovative technologies, purchasing
convenience and comprehensive services.
Thermo Fisher product master comprises of :
• 2.7 M + Items/SKUs ( across all divisions)
• 100 K BOMs
• 750+ Attributes
We are expecting to grow by 30% in next 3 years
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Challenges with Product Data Management:
• Existing Agile PLM System is overburdened with product commercialization
activities and data volume around it. This impacts time to market Products
hence effecting the revenue
• Synchronization of Product Data and BOM between Agile and ERPs is not
performing efficiently impacting maintainance cost
• Agile PLM system (treated as Product Master) is not scalable to handle
expected high volume product data and attribute needs
• Every Business unit in Thermo Fisher is following their own standards and
data model for similar products using different platform.
What made Thermo Fisher look for Enterprise Product Data
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Enterprise Product Data Strategy
Mission
Goals
Scope
• Accelerate Time to Market for Manufacturing and 3rd Party Products
• Harmonize Product Data elements and Processes across different
business groups
Build product data management governance platform that can fast track
and streamline processes to innovate, design, develop and
commercialize products and can scale for growing volume needs of
product data across Thermo Fisher Scientific
• Collaborate in real-time on product development data and
commercialization processes
• Capability to quickly enrich & govern large volume of data for Supply
Chain & Sales Readiness
• Supplier Self Service UI for effective Collaboration to reduce cycle of
onboarding 3rd Party Products
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Enterprise Product Data Vision
Idea to Commercialize Process
Research
PLM
Ecommerce
Portal
www.fishersci.com
www.Thermofisher.com
Digital Shelf
Product
Master
Hub
Commerce
ERPs
Product
Development
Supplier
Portal
Third Party Products
Product Commercialization
Maintain product data integrity throughout the eco system
Product
Innovation
MES
Regulatory
Compliance
Transportation
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Why Oracle Product Hub Cloud as Product Master Hub
• Bill of Materials (BOM) and Where Used Functionality- Oracle Product
Hub Cloud Solution is the only Product Master Data Management Solution
that provides out of the box BOM and Where used functionality to support
Supply Chain functions. Other solutions lack in this functionality
• Holistic Solution for both Manufactured and 3rd Party Products – Oracle
Product Hub Cloud provides comprehensive features that support
commercialization functions for enabling products on ecommerce platform /
websites
• Supplier Product Data Collaboration- Oracle Product Hub Cloud provides
Self Product Data Portal which enables suppliers to upload their products and
attributes
• Flexibility and Scalability to Integrate with Oracle / non-Oracle ERPs /
Applications- Oracle Product Hub Cloud has proven integration with Oracle
JDE E1, Oracle EBS, SAP, FDA(UDI), GDSN ( GS1) using KPIT adapters
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SPEED TO
MARKET
WASTE
HANDOFFS
CHANGE
TRACKING
REWORK
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Enable Lean Product Development by Using Product Data
Hub as Materials-Master
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Thousands of New Parts per
Project, 10s of thousands per year
Attributes Per Part
Engineering, Supply Management,
Marketing, Manufacturing, IT
The Numbers Game
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Lean
Go-to-market faster while spending less without
compromising on quality
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The Office Solution/Problem
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Agile
Engineering
Data
Gathering,
Planning
EBS
Transactional/
Operational
No True Materials Master
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Get Lean
Cut Duplicate
Work
Eliminate Non-
Value-Add Work
Automate Steps Reduce Waste
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Get Lean
Build The Materials Master
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Agile
Engineering
Data
Gathering,
Planning
EBS
Transactional/
Operational
The Alphabet-Soup Architecture
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Agile
Engineering
Product Hub
Operational
Data &
Planning
EBS
Transactional
Introducing PDH as
The Integrated Materials Master
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Pella PLM – Current State
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Catalog Updates
Operational Attributes
Categories
Item Sub Inventories
Template Changes other
than Inactivation
EBS
Item Creation
Item Org Assignment
Item Inactivation
Oracle Catalog & Attributes
Initial Oracle Catalog
Initial Oracle Template
BOM Org Assignment
BOM Create/Update
Agile
28. Click to edit Master title styleFuture State With PDH
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Catalog Updates
Operational Attributes
Categories
Item Sub Inventories
Template Changes other
than Inactivation
EBS
Item Creation
Initial Item Org Assignment
Initial PDH Classification
BOM Org Assignment
BOM Create/Update
Agile Item Org Assignment
Item Inactivation
Oracle Catalog
Attributes
Catalog Updates
Categories
Operational Attributes
Item Sub Inventories
PDH
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• Parallel Swim-lanes in PDH
• Manage Coordination between 5
User groups
• Implementation Owner
(Engineering)
• Supplier Specialist (Supply
Management)
• Buyer Planner (Supply
Management)
• Plant IT (Manufacturing)
• Bill of Materials (IT)
Easier Collaboration Less Bottlenecks
30. PROJECT: PROJ001281
Impl Owner: olsonmj
Target Impl Date: 10/17/2018
Status = IO Private
I
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S
S
B
P
M
F
G
I
T
Private Incomplete Info Needed Complete
31. PROJECT: PROJ001281
Impl Owner: olsonmj
Target Impl Date: 10/17/2018
IO opens up part for enrichment
I
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S
S
B
P
M
F
G
I
T
Private Incomplete Info Needed Complete
32. PROJECT: PROJ001281
Impl Owner: olsonmj
Target Impl Date: 10/17/2018
Various teams complete their data and mark status
as complete
I
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S
S
B
P
M
F
G
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T
Private Incomplete Info Needed Complete
33. PROJECT: PROJ001281
Impl Owner: olsonmj
Target Impl Date: 10/17/2018
If IO makes major decision changes it forces restart
of work in various queues
I
O
S
S
B
P
M
F
G
I
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Private Incomplete Info Needed Complete
34. PROJECT: PROJ001281
Impl Owner: olsonmj
Target Impl Date: 10/17/2018
Any user can pause work to request for more info
I
O
S
S
B
P
M
F
G
I
T
Private Incomplete Info Needed Complete
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Eliminate Non-Value-Add Tasks
Update Ops
Attributes
in EBS (IT)
Fix Ops
Issues after
go-Live (IT)
Create Part
in PIT
(Engineer)
Create Part
in Print
Create Part
in Agile (IT)
Update
Part in
Oracle EBS
(IT)
Information
Loss
Enrich Part
Attributes in PIT
(Multiple
Teams)
Multiple Handoffs
No Permissions Framework
Poor Change Tracking
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Eliminate Non-Value-Add Tasks
Create Part
in Print
(Engineer)
Create Part
in Agile EBS
(Engineer)
Enrich Part
in PDH
(Multiple)
Publish to
EBS
iLinkiLink
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Copy-From Automation
• Several new parts can derive a set of
attributes from an existing Part
• e.g. New parts for an existing family of
parts in the same plant may have similar
manufacturing attributes as one of the
existing “Golden” part in that plant
• In Pella PDH implementation we have
achieved this by leveraging BI framework
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Copy-From Automation
• Any number of parts can be set to copy
a pre-defined set of attributes from one
“Golden” part
• This greatly improves new part
introduction speed and quality
• Pella has requested that this be made a
standard feature in PDH
BI
• Extract &
Manipulate
Data
PDH
• Import using
Import Map
Move
to
UCM
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Data Governance using Rules
• Diagnostic: Currently dozens
of data-quality rules being
checked in EBS using OBIEE
reports
• Preventative: PDH allows us
to configure these so we can
enforce data-quality before
publishing item to EBS
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• Use Case: Track usage patterns and quantity before
triggering obsolescence setups in PDH
• We can get transactional data (read-only) into PDH
• Multiple sources (EBS, Data Warehouse)
• Webservices – real-time and batch mode
Backwards Integration
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Phase 1
Go-Live
Progress Report
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Keys to Success
•Have an Application Vision
Build Strategic Partnerships With Vendors
Always be Integrating
Master Data Management
Get Metrics – Can’t Improve what You Can’t Measure