Download Parallax Views 2005 - Stanford Graduate School of Business

Integrating management objectives with
execution-level supply chain data and decisions
Business impact
Access to data
Analytics and
automation
Ability to execute
on data
Going deeper
Going deeper
Analytics
Business goals
Data organization, management, and integration
Important changes in how data and supply chains are managed are required:
- New thinking and methods, in both supply chain and IT
- Close working partnership between supply chain and IT essential
“Mindset change to manage master data as a business
capability, not IT infrastructure” - Greg Valdez, Intel
Copyright, Blake Johnson
The Semiconductor Manufacturing Supply Chain
Data
Volume
Finance
1K+
Sales
1K+
Logistics
10K+
Planning
10K+
Inventory
100K+
MES
Equipment
1M+
100M++
Domain
Business
Function
$$$
Business
Product Demand
Business
Product Delivery
Business +
Manufacturing
Business +
Manufacturing
Manufacturing
Product Scheduling
Manufacturing
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the property of their respective owners. © Freescale Semiconductor, Inc. 2007.
Product Location
Material
Movement
Material Processing
Goal
Cycle
Time
Cycle
Time
Cycle
Time
Cycle
Time
Cycle
Time
Cycle
Time
Yield
TM
2
Today’s speakers: Opportunities across industries and
supply chain domains
Components
BOM
Common
BOM #1
• Part A
• Part B
• Part C
• Part A
Distribution
Manufacturing
Stage #1
Stage #2
Stage #3
FGI
Channel /
Customer
Location #1
Channel #1
Customer #1
Custom
• Part B
• Part C
• Part D
• Part E
Supply
- Part level
- Supply price, lead time,
availability, inventory
- Demand variability and
forecast error
Location #2
BOM #2
• Part A
• Part D
• Part E
Channel #2
TM
Customer #2
Products
- Changing product
offerings
- NPI, EOL
- BOM changes, ECNs…
Manufacturing
& Distribution
- WIP
- Capacity
- Lead time
- Constraints
- Inventory
Master data management
Enterprise data warehouse
Copyright, Blake Johnson
Demand
- SKU level, by location
- Units, lead time & OTD
- Pricing and margin
- Inventory
- Demand variability & forecast error