Travis Cox from Inductive Automation delivers practical advice and clear steps to food and beverage companies wanting to digitize their plants.

1. 6 Practical Steps F&B Companies Can Take to Achieve Digital Transformation
Presented By: Travis Cox, Inductive Automation and SafetyChain
Date: October 16, 2019
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5. 6 Practical Steps F&B Companies Can Take
to Achieve Digital Transformation
Inductive Automation
www.inductiveautomation.com
Beyond Compliance Webinar Series
Travis Cox
Co-Director of Sales Engineering
Experience with HMI (Human Machine Interfaces) and
SCADA (Supervisory Control and Data Acquisition) projects
Former Director of Training

6. Today’s Agenda
• What is Digital Transformation?
• The Promise of Digital Transformation
• The “Reality” of Digital Transformation
• 6 Steps to Digital Transformation Enablement
• Adding Sensors / PLCs
• Collecting Data
• Getting Data to People
• Integrating Systems
• Using Message-Oriented Middleware
• Leveraging the Cloud

7. Digital Transformation
• What is digital transformation?
“The transformation of industrial products, operations, value
chains, and aftermarket services that are enabled through the
augmentation of people and knowledge, through the expanded
use of sensors, data and analytics.”

8. While the impact of this has been profound, many businesses are
struggling to realize the full potential of digital transformation.
Regardless of the terms you want to use …
• Digital Transformation
• Industrial Internet of Things (IIoT)
• Industry 4.0
• Industry X.0
… the point is that every industrial company in the world is trying
to come to grips with WHAT this revolution means to them and
HOW to get started!
Digital Transformation

9. • How long is it going to take to transform?
• How well are organizations confronting digital disruption?
• Here are some interesting statistics ...
Digital Transformation

10. of business leaders expect the IIoT to disrupt their
operating models within the next 5 years.
- World Economic Forum
84%
Digital Transformation

11. of these leaders
have a comprehensive IIoT strategy.
- World Economic Forum
Digital Transformation
7%

12. of these leaders
admit to having none at all.
- World Economic Forum
Digital Transformation
73%

13. We’ve Got A Problem
Digital Transformation

14. The Promise of Digital Transformation

15. The Elephant in the Room

16. The “Reality” of Digital Transformation
IT/Cloud
Tooling
Operational Data
OT
Data
Just Connect
(The Dream)
Versu
s
OT
Data
Reality
The
Wor
k

17. Digital Transformation starts with understanding the Operational Infrastructure:
• Protocols
• Network Physical Communications (RS-232, RS-485, RS-422, TTL,
Ethernet)
• Infrastructure Topology (VSAT, Radio, Cellular, barbwire fence,…)
• Proprietary mixes of SCADA/DCS/MES/OEE/…
• Legacy Device Knowledge
• Data Formats
• Security
• Etc..
The Digital Transformation journey starts with the Operational infrastructure
and then putting together a migration strategy that implements the Digital
Transformation but also meets ALL of the OT requirements.
Getting access to Operational Data is HARD

18. Steps to Digital Transformation Enablement
1. Adding Sensors /
PLCs
2. Collecting Data 3. Getting Data to
People
4. Integrating Systems 5. Using Message-
Oriented Middleware
6. Leveraging the Cloud

19. • 80-90% of data is stranded or not collected
• Easy to add PLCs or IoT devices
• Lots of options
• Inexpensive
• Communicate to anything
• 2 Examples
• Overlay sensors in your process
• Adding PLCs
Step 1: Adding Sensors / PLCs

20. • Using IoT Devices like Advantech
B+B Wzzard
• Get access to important data
• No need for conduit, power, or
Ethernet
• Huge costs savings and ROI
• Supports modern open protocols
(OPC-UA, MQTT)
Example: Overlay Sensors

21. • Add automation with PLCs such
as Opto 22’s EPIC
• Connect analog and digital I/O
• Connect to serial devices
• Add programming using modern
languages
• Increases safety
• Supports modern open protocols
(OPC-UA, MQTT)
Example: Adding PLC

22. • Digitization
• Provides central visibility, storage, alarming, KPIs, and more.
• Collect / aggregate data from lots of sources
• PLCs / IoT Devices
• Databases
• 3rd Party Systems (ERP, Maintenance Management, LIMS)
• Operators (clipboards / whiteboards / PCs / mobile devices)
• Allows for transfer of data
Step 2: Collecting Data to Centralized System

23. Step 2: Collecting Data to Centralized System

24. • Operator writes down when machine goes down
• No automation, everything is manual
• Records what machine, reason, and duration
• Is this accurate?
• Operators can make mistakes or miss events
Example: Machine Downtime Scenario

25. • Solution
• Add or use existing sensor on machine to determine machine
state (running, not running, faulted)
• Bring into centralized system and record automatically to a
database
• Operator can provide reason if unknown but start time and
duration is known
• Guarantees more accurate results
Example: Machine Downtime Scenario

26. • Easier than ever
• Visibility of data is vital for better decision making
• Not just operations, provide data to all parties
• Maintenance, managers, executive, external
• Leverage modern technologies and devices
• PCs, touch panels, TVs, phones, tablets
• Leverage unlimited licensing models
Step 3: Getting Data to People

27. Power of Data

28. Pure Web, Native Apps

29. Mobile Adoption
• Mobile devices have taken over
Desktops

30. Clients Everywhere

31. Mobile-Responsive

32. Incredible Phone Technology

33. Secure Identity Management

34. • One application does not fit all requirements
• Integrations provide more context
• No need for manual data entry between systems
• Leverage existing APIs and open-standard protocols
• SOAP / REST
• SQL databases
• Open-standard protocols (OPC-UA, MQTT, etc.)
Step 4: Integrating Systems

35. • Examples
• ERP (SAP, NetSuite, Microsoft Dynamics, etc.)
• Maintenance management
• MES
• Inventory
• HR / Timesheets
• and more…
Step 4: Integrating Systems

36. • Business demands more data
• New demands require new architecture
• Not just operations, OT and IT convergence
• Decouple devices from applications, provide data to infrastructure
• Remove silos or islands of data
• Bigger access means bigger value
• Accelerate innovation
Step 5: Using Message-Oriented Middleware

37. Path A – Keep using poll/response protocols:
Future
Apps
AI & Big
Data
Electronic Flow
Measurement
ERP
Mobile
Apps
Asset
Management
OT
Data
Other
Data
IT / Enterprise
Data Needs
SCADA
Host
Data
Extract App
Data
Extract App
Data
Extract App

38. Conventional Architecture

39. The New Architecture

40. The Internet of People

41. The Internet of Things

42. Brownfield: How do we get there from here?
Edge of Network Devices
Publish data from:
• Gateways
• Sensors
• Applications
• RTUs, PLCs
• Remote I/O

43. www.cirrus-link.com
Cellular
VSAT
Ethernet
OPCClient
Legacy
SCADA
Azure
AWS
ACL
TLS
MQTT Server
Infrastructure
DMZ
AI & Big
Data
ERP
OEE / MES
Asset
Management Electronic Flow
Measurement
Future
Apps
IBM
Watso
n
Other
Data
OT
Data
Googl
e
Big Access to Big Data to Real Value

44. Step 6: Leveraging the Cloud
• Massively scalable
• Easy to maintain
• Less local infrastructure
• Leverage
• Machine Learning
• Analytics
• Business Intelligence
• Data lakes / deep storage

45. Example: Microsoft Azure

46. Example: AWS

47. Q & A

48. Resources
White Papers & Surveys
Webinars & Videos
Product & Partner Info
Solution Consultation
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