erp in the world of advanced technologies€¦ · hyperconnectivity deployment technology cloud...

ERP in The World of Advanced

Technologies Glenn Graney, Director Industrial & High Tech Markets

Core Member: QAD Advanced Technology Team

2

This presentation includes forward-looking statements about QAD and its business. These statements are subject to risks and

uncertainties that may cause actual results and events to differ materially. These risks and uncertainties are detailed in QAD’s

SEC filings, including the company's latest Annual Report on Form 10-K dated April 7, 2017 and in particular the section titled “Risk

Factors” therein and other periodic reports the company files with the Securities and Exchange Commission thereafter.

This presentation contains certain references to financial measures that have been adjusted to exclude certain expenses and

other specified items. These financial measures differ from comparable measures calculated and presented in accordance

with accounting principles generally accepted in the United States of America (“GAAP”) in that they exclude unusual or non-

recurring charges, losses, credits or gains. This presentation identifies the specific items excluded from the comparable GAAP

financial measure in the calculation of each non-GAAP financial measure. Management believes that financial presentations

excluding the impact of these items provide useful supplemental information that is important to a proper understanding of the

Company’s business results by investors. These presentations should not be viewed as a substitute for results determined in

accordance with GAAP, nor are they necessarily comparable to non-GAAP financial measures presented by other companies.

The following is intended to outline QAD’s general product direction. It is intended for information purposes only, and may not be

incorporated into any contract. It is not a commitment to deliver any material, code, functional capabilities, and should not be

relied upon in making purchasing decisions. The development, release, and timing of any features or functional capabilities

described for QAD’s products remains at the sole discretion of QAD.

QAD undertakes no obligation to update forward-looking statements.

Safe Harbor

ERP in The World of Advanced Technologies

3

Classic Oxymorons


High Tech ERP

4

• Data Lake

• Internet of Things

• Machine Learning

• Digital Twin

• Blockchain

• Augmented Reality

• Additive Manufacturing

• Robotic Process Automation

• Digital Culture

Plenty of Buzz Around Advanced Technologies for

Manufacturing


Imagine the Future


“No one can predict the future, but what is certain is there will be

continual change, lots of it and at an unprecedented pace.”

Tony J Winter, CTO

Digital

Twin

Data

Lake

Augmented

Reality

Machine Learning

Analytics Business

Process

Mgmt

IIoT Edge

Computing

Additive

Mfg Robots

No Code

Low Code Robotic

Process

Automation

(RPA) Security

Blockchain

Cloud

Imagine the Smartest Factory


Augmented

Reality

Business

Process

Mgmt

Additive

Mfg Robots

No Code

Low Code Robotic

Process

Automation

(RPA)

6

Augmented

Reality

Business

Process

Mgmt

Additive

Mfg Robots

No Code

Low Code Robotic

Process

Automation

(RPA)

IIoT Edge

Computing

Data

Lake

Digital

Twin

Analytics

Machine Learning

Imagine the Smartest Products


7

Augmented

Reality

Digital

Twin

Machine Learning

Analytics

Data

Lake

Business

Process

Mgmt

IIoT Edge

Computing

Additive

Mfg Robots

No Code

Low Code Robotic

Process

Automation

(RPA) Security

Blockchain

Cloud

Imagine the Smartest Supply Chain


8

9

Why Care About Technology?


CONSUMER

Influence

Growing up with

CHANGE NEW

Competitors

Tec

hn

olo

gy E

xp

loita

tio

n

Time

10

Technology Evolution – Not Always Obvious


“How did you go bankrupt?"

Two ways. Gradually, then

suddenly.”

[Ernest Hemingway, The Sun Also Rises]

Unimportance

Amazement

Tec

hn

olo

gy E

xp

loita

tio

n

Time

11

QAD Process for Filling the Gap


“Imagination is more important

than knowledge…”

[Albert Einstein]

Imagination

Balancing

Technology and

Customer Value

Balancing Technology and Customer Value

Technology for Technology Sake Will Disappoint


Improved

Yield

Optimal

Inventory &

Managed

Costs

Integrate

Simple

Device

Data

Manufacturing

Benefit

Service

Levels &

Response

Improve

Quality via

Root

Cause

Product

Traceability

Customer

Benefit

Technology Introduction @ QAD


EDUCATE /

EVALUATE

RESEARCH /

MONITOR

ROADMAP

PRODUCTIZE /

INTEGRATE INNOVATE

15

PRODUCTIZE / INTEGRATE

Mobile

Embedded

Analytics Personalization

Business Process

Management Attachments

Cloud Collaboration Cybersecurity Visual Screen

Extension

Low Code

/ No Code

INNOVATE

Digital

Twin

Machine

Learning

Data

Lake

Industrial

IoT

EDUCATE / EVALUATE

Artificial

Intelligence

Augmented

Reality

Robotic Process

Automation

(RPA)

Additive

Manufacturing

Robots Blockchain

Edge

Computing


Technology Roadmap

16



Mobile

Embedded


Business Process



Extension

Low Code

/ No Code

INNOVATE

Digital

Twin

Machine

Learning

Data

Lake

Industrial

IoT

EDUCATE / EVALUATE

Artificial

Intelligence

Augmented

Reality

Robotic Process

Automation

(RPA)

Additive

Manufacturing

Robots Blockchain

Edge

Computing

Technology Roadmap

17



Mobile

Embedded


Business Process


Report

Creator Integration

Cloud Collaboration Cybersecurity Automation

Visual Screen

Extension Browses

Low Code

/ No Code

Digital

Microservices A

P

I

QAD Enterprise Platform

18


QAD Enterprise Platform


Architecture /

Integration

REST APIs

Cloud Apps

Microservices

IIoT

Hyperconnectivity

Deployment

Technology

Cloud Management

Multi-Cloud

DevOps

Automation

Security

Internet Facing

Vulnerability Checking

Cloud Compliance

Encryption

Analytics

NoSQL

Big Data Storage

Embedded Analytics

Machine Learning

User

Experience

HTML5

Smartphones

UI Independence

19

20

Process at Work – Elevating Technologies

QAD Advanced Technology H2 FY19

INNOVATE

Digital

Twin

Machine

Learning

Data

Lake

Industrial

IoT

EDUCATE / EVALUATE

Artificial

Intelligence

Augmented

Reality Additive

Manufacturing

Robots Blockchain

Edge

Computing

Robotic Process

Automation

(RPA)

Robotic process automation (or RPA) is an emerging form of business process automation technology based on

the notion of software robots or artificial intelligence (AI) workers.


Mobile

Embedded


Business Process



Extension

Low Code

/ No Code

https://en.wikipedia.org/wiki/Business_process_automation

https://en.wikipedia.org/wiki/Software

https://en.wikipedia.org/wiki/Artificial_intelligence

21

Advanced Technology and the QAD Labs


INNOVATE

Digital

Twin

Machine

Learning

Data

Lake

Industrial

IoT

EDUCATE / EVALUATE

Artificial

Intelligence

Augmented

Reality Additive

Manufacturing

Robots Blockchain

Edge

Computing

Robotic Process

Automation

(RPA)


Mobile

Embedded


Business Process



Extension

Low Code

/ No Code

LABS

• Focus on shop floor initiative,

automation, predictive

maintenance, ML- assisted

Planning, and RPA

22

What’s in the labs

OEM EDI Planning Schedule (26- 52 weeks)

Machine Learning-Assisted Planning


Machine Learning

Data Lake Data Lake

Digital Twin

Digital Twin

Quantity actually

shipped to OEM Machine Learning

predicted schedule

ERP Considerations • Utilization of existing historic

data

• Production data in the Data

Lake - Planning schedule

- Actual shipments

• Scheduling & planning

adjustments - Safety stock

- Inventory level

- Assumed risk

- Order points & quantity

• Capacity management

23

24

QAD Shop Floor

Manufacturing Shop Floor • Operational execution of

manufacturing processes

• Association of operators

with equipment

• Equipment operation

and monitoring

• Automated and

manual data capture

Replacing

clipboard with

on-line data

collection

Controllers &

isolated factory

LAN’s

25

QAD Shop Floor Initiative Overview


Traditional ERP / QAD capability • Material & Production Planning

• PSW schedule management

• Business / Financial level

operation & execution

QAD

Automation Solutions Shop floor material & production

transaction capability

INNOVATE

Data

Lake

Industrial

IoT

Transition to an Integrated Shop Floor


Traditional Data Hierarchy

MES

HMI/SCADA

EAM ERP

PLM

QMS

Protocol Server

26

ERP Considerations • Unprecedented data accessibility

- Data immediacy

- Inherent data integrity

- Eliminate knowledge latency

• Better operational decision making - Collaborative planning / operations

- Information foundation for

actionable analytics

• Less paper – less paper – less paper - Work glove-ready interface

- Operator productivity

- Noninvasive data capture

• Less is More - Single support model

- Reduced points of failure

Robotic Process Automation – Less Robot / More Action


• A method of automating repetitive, routine tasks that a back-office

worker typically performs through mimicking the activity a human

would do on a screen to carry out such tasks.

• Screen scraping, automated test tools, developer kits, scripting, batch

processing and a comprehensive audit trail are all part of RPA

27

RPA

Within Applications Between Applications

PLM ERP

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• Any manual processes or repeated tasks that involves

an application or manual data entry

- Accounts receivable

- Purchase order management

• Identified vendors of interest

- Automation Anywhere

- WorkFusion

- Blue Prism

• Potentially embedded in batch processing and APIs

Exploring Robotic Process Automation


RPA

https://m.youtube.com/watch?v=6BiRQ4QQ4fk

Predictive Maintenance & Asset Performance


Machine Learning

Data

Lake

Data

Lake

Industrial IoT

Asset Performance Monitoring &

Predictive Maintenance

• Reduction in unplanned downtime

• Increased effective capacity

• Process yield optimization

• Material usage / scrap reduction

• Management of capital investment

00101101?011111000100101010101000101??10011111010010101111111110110?????1010101011100101010?0???0101101?011111000100101010101000101??10011111010010101111111110110?????1010101011100101010?0?

00101101

Machine Learning /

Analytics applied to rich as-

used product, production

order & process data

Sensors added to

critical asset ERP Considerations • Development of

sufficient data

• Equipment model &

planning parameter

modifications

• Production data in the

Data Lake - Part numbers

- Operator ID’s

- Scheduling details

• Effective usage of extended capacity

29

Data Lake

Product feature

enhancement, rapid

upgrades & customer

process optimization

Remote IoT and Rapid Product Revisions


Machine Learning

Industrial IoT

Digital Twin

Digital Twin

3D Printer Manufacturer

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0010101111111110110?????1010101011100101010?0???0101101?011111000100101010101000101??10011111

001011

Machine Learning /

Analytics applied to

rich as-used product &

process data

Further results in

unprecedented product

development based &

rapid time to market Version 2.0

Version Version Version 1.x 1.y 1.z

IoT enabled deployed assets

ERP Considerations • Increased emphasis on

traceability &

genealogy • Version centric

production tracking

• Scheduling & planning

parameters - BOM changes

- Supplier management

• Service & support

business models

30

INNOVATE

Digital Twin

Industrial Asset ID

Asset Genealogy

Product Insight

New Revenue Streams

Intertwined Technologies


Machine Learning

Subset of AI

Predicting without Programming

Many Cognitive Services

Industrial Internet of Things

Networked Devices

Sensing & Interacting

Internal or External to Enterprise

Evolution of MES

Data Lake

Unstructured Data

Highly Scalable

Fast Queries

31

Call To Action


DISCOVER potential /

emerging benefits

LEVERAGE

mutual

investments

GET Comfortable

(technology will

find you)

PARTNER around Strategic

Initiatives

32

Imagine the Future


“Who says ERP isn’t High Tech?”

Glenn Graney, SEUG

2018

Digital

Twin

Data

Lake

Augmented

Reality

Machine Learning

Analytics Business

Process

Mgmt

IIoT Edge

Computing

Additive

Mfg Robots

No Code

Low Code Robotic

Process

Automation

(RPA) Security

Blockchain

Cloud

34

• Glenn Graney

- [email protected]

- +1-434-422-0487


mailto:[email protected]

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