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Don’t Ignore Data Quality In Your Supply Chain! Chad Walters, MBA ASQ CSSBB CSSGB ASQ Section 1506 – January 25, 2018
Don’t Ignore Data Quality
In Your Supply Chain!
Chad Walters, MBA ASQ CSSBB CSSGB
ASQ Section 1506 – January 25, 2018
Introduction
• Siemens Corporation
– OpsEx/Business Excellence Consultant
(aka Internal Lean Guy)
– Low Voltage Electrical Management Division, Roebuck SC
• ASQ CSSBB, 2010
• ASQ CSSGB, 2009
• MBA, Indiana University, 2006
• BS ChE, Tri-State University (Indiana), 2002
Learning Objectives
• In this session you will:
– Understand the elements of a global supply chain
– Learn about the use of data across a modern
global supply chain
– Learn about the growing data requirements from
customers and end consumers
– Discover new tools and technologies for
streamlining supply chain data transmission and
management
What is a Supply Chain?
What is a Supply Chain?
Purchase orders, packaging designs
Invoices, Bill of Lading, product info
Purchase orders, destination data
Invoices, Bill of Lading, product info, shipping info
What is a Supply Chain?
Purchase orders, packaging designs
Invoices, Bill of Lading, product info
Purchase orders, destination data
Invoices, Bill of Lading, product info, shipping info
HOWCOMMUNICATED?
What is a Supply Chain?
Order-To-Cash Process
CUSTOMERORDER
WHSEORDERBOL
SUPPLIER
Invoice
What about data?
SUPPLIER CUSTOMER
ORDER
ORDER
BOL
WHSE
PRODUCTCATALOG
What about data?
SUPPLIER CUSTOMER
ORDER
ORDER
BOL
WHSE
PRODUCTCATALOG
Item #, size, brand, description, pack, weight,
country of origin
What about data?
SUPPLIER CUSTOMER
ORDER
ORDER
BOL
WHSE
PRODUCTCATALOG
Item #, lot #, quantity, delivery date, delivery
location
What about data?
SUPPLIER CUSTOMER
ORDER
ORDER
BOL
WHSE
PRODUCTCATALOG
Item #, lot #, quantity, delivery date, delivery location, warehouse
location
What about data?
SUPPLIER CUSTOMER
ORDER
ORDER
BOL
WHSE
PRODUCTCATALOG
Item #, lot #, quantity, delivery date, delivery
location, shipping means
Customer Data Expectations
Customers have online catalogs
with product data
Customer Data Expectations
Customer Data Expectations
• Continuously expanding
– More and more supply chain data!
• Transparency and visibility
• Who, What, When, Where, Why, How
– Rich data - images, videos, special views
Customer Data Expectations
• Continuously expanding
– More and more supply chain data!
• Transparency and visibility
• Who, What, When, Where, Why, How
– Rich data - images, videos, special views
• Why?
– Consumer safety & sophistication
– Online/mobile availability of rich data
– Evidence of ethical compliance
Perfect Order Metric
• % of orders that are deemed “perfect”:
– Shipped on-time to right location
– Shipped complete and accurate
– Shipped damage-free
– Shipped with correct documentation
Perfect Order Metric
Perfect Order Metric
Higher expectations for data and delivery performance add complexity!
Complexity leads to errors
Complexity leads to errors
What happens with bad data?
• Lost sales
• Rework/reconciliation
• Customer fines
• Product obsolescence
What happens with bad data?
• Lost sales
• Rework/reconciliation
• Customer fines
• Product obsolescence
Bad Data =Loss of Revenue!!
What tools help prevent errors?
• First, where do we need help
preventing these errors?
– Product information for customer portals
– Warehouse and inventory management
• Picking right items
• Managing accurate inventory
– Transportation management
– End-to-end supply chain transparency
Product Data Synchronization
Warehouse/Transportation
• Synchronization of supply chain and
ERP systems
– Warehouse Management Systems (WMS)
– Transportation Management Systems
(TMS)
GS1 Standards & GS1-128
Jabil InControl
Other kinds of technology
• Blockchain
• Product Information Management
Systems (PIM)
• Electronic Data Interchange (EDI) and
Advance Ship Notice (ASN)
• RFID tags
• Certification and compliance portals
