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

Questions?

Chad Walters – Phone: (248) 821-4101 – Email: chawalte@gmail.com