Our application demo is built around Connected Factories or, in other words; we provide managers and engineers a complete view of their physical assets, the related documentation (service manuals, installation manuals, etc.) and related information like Big Data Analytics (predictive maintenance, risk analysis, buyer information), IoT data (real time machine data, efficiency rate, downtime), business data (supplier, stock level, manufacturer, location) and Process information (assigned engineer, maintenance steps, escalations). See our blog https://blogs.opentext.com/augmented-reality-iot-and-enterprise-content-management/

1. DEMO USE CASE:
Connected Industrial Worker
Putting Information in Context in the
Connected Factory
Story Board | Arsalan, Lilija, Jochen, Roel, Thomas, Patrick

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The Story
Putting Information in Context in the Connected Factory

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Introducing the Performers
• Monitors the Covisint IoT
platform connecting the factory
eco-system.
• Ensures secure IoT integration,
access & managing threats in
the factory ecosystem.
Patrick
(Production line
Engineer)
• Supervisor receives a daily
summary of the factory.
• Plans predictive maintenance
by assigning an engineer.
• Responsible for ensuring 100%
up-time of the factory. He relies
on the insight delivered by
Magellan AI platform.
Thomas
(Supervisor)
• Factory Worker performs
maintenance related activities on
the shop floor.
• Inspects machine, repairs or
replaces the part(s) as required.
• AppWorks & Extended ECM
provide him the necessary
information in context.
• MS Hololens & Cortana assistant
enable him to perform his tasks in
a hands free way.
Roel
(Factory Worker)

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…And the ATE-001 “The Machine”

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The Process FlowMACHINESUPERVISORENGINEERPLATFORM
Triggers
maintenance
Checks daily
summary
Plans
maintenance
Inspects
machine
Repairs
machine
Commits
service order
Reviews root
cause analysis
Confirms maintenance
schedule recommendation
Extended ECM
Workspace
AppWorks
Process
Magellan root
cause analysis
Magellan next
best action
AppWorks
Process
Covisint IoT
Gateway
Magellan
predictive
maintenance

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Role Description
1 Moderator Simulation values spin out of control (e.g. dials, levers,
dashboard with live data, …) or exhibit otherwise
“suspicious” patterns (for longer-term predictive
maintenance).
Message to Supervisor (Covisint to Process Suite “inbox”
and/or SMS/e-mail), prompting the Supervisor to now wear
his HoloLens.
0. Manipulates machine

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Role Description
1 Supervisor Supervisor looks at a 3D model of the factory via his
HoloLens and sees that one of the machines, which is
monitored by the Covisint platform, reports an alert.
Magellan predicts: One part of our production line X will
get damaged and cause a significant (dramatic) prod line
quality and effectivity degradation in approx. 2 weeks,
which would have monetary impact on the factory.
1. Check daily summary
Business Process Visual
Check daily summary A 3D model is presented to the Hololens viewer. He
is able to scale, zoom, rotate the model.
The model contains the assets that are in the room.
Status icons are shown above the assets.

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Role Description
2 Supervisor Covisint triggers a service request in Process Suite,
suggesting an engineer (skills-based) to perform the fix
(status “pending approval”). The manager confirms the
service request and engineer assignment (using Cortana
voice command, e.g. “approve” or, as nice-to-have, also
“change engineer”).
2. Plans maintenance
Business Process Visual
Plan maintenance The user asks Cortana to schedule an engineer.

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Role Description
3 Engineer Engineer visits & inspects the machine
3. Inspects machine
Business Process Visual
Inspect machine The engineer sees an overlay on the machine with
the faulty part. When clicking on the part, he sees
the part info.

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Role Description
4. Engineer The Engineer checks the machine Workspace (xECM) and
opens the machine manual. The manual does not explain
it well enough so he asks Cortana to open a repair video.
The HoloLens highlights the damaged part on the
machine. The engineer removes the specific part from the
machine.
4. Repairs machine
Business Process Visual
Repair machine The engineer asks Cortana to expand the manuals
for the part. (3D Image, manual, repair video).

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Role Description
5. Engineer Cortana initiates the order for the part and the part gets 3D printed in house
and sent to the engineer.
To optimize production efficiency, Magellan AI learns from the history and
intelligently adjusts maintenance schedules for all the machines in the factory.
It also schedules a production print for the part in SAP so it is at hand the next
time.
Magellan also performs root-cause analysis based on both unstructured data
from manufacturer’s forum, machine measurements, environment
measurements and finds out, that all those failures happened when external
temperature and humidity in the factory hall were too high. Hence Magellan
adjusts air conditioning maintenance schedules and recommends evaluating
replacing air conditioning systems vs. maintaining the old ones.
5. (Optional) Update stock & adjust maintenance
schedules
Business Process Visual
Update stock & adjust
maintenance schedules
Cortana gives feedback to the engineer that a new part is ordered to
refill stock. A new workflow is created and the metadata for the part is
updated.
Magellan gives feedback that maintenance schedules for production
line were adjusted and based on the root cause analysis – also
maintenance schedules for air conditioning systems were adjusted.

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Role Description
6. Engineer Engineer replaces the damaged part and the maintenance
order is committed through AppWorks.
6. Commits maintenance order
Business Process Visual
Replace part & commit
maintenance order
The engineer asks Cortana to finish the process by
calling the process in AppWorks
No Visual

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Role Description
Engineer The Engineer asks Cortana:
• For Magellan’s root-cause analysis and how new
maintenance schedules will improve up-time of the
machine.
• To send root-cause analysis report to him and the
supervisor.
7. Reviews root cause analysis
Business Process Visual
Analytics/Predictive
Modeling
Cortana shows analysis results and prediction of up-
and downtime of the machine with the old and new
maintenance schedules.

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Role Description
Supervisor Gets an alert, that machine was repaired and that
Magellan adjusted maintenance schedules of the
production line and air conditioning systems.
Magellan also recommends evaluating replacing outdated
air conditioning systems vs maintaining them.
8. Confirms maintenance schedule recommendations
Business Process Visual
Analytics/Optimization Heat map dashboard – comparison of all failures of
this machine before and after. Additionally the
monetary benefit of adjusting the maintenance
schedules for the company.

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OpenText Business Value
Information in Context
IoT platform for secure integration, access & managing
threats in the factory ecosystem
Sensorics pattern recognition & predict failures
Command & control dashboards to ensure uptime
& quality of the production line
MRO process orchestration incl. the ticketing
workflow
Maintenance instructions and manuals in context
1
2
3
4
5

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Thanks to our partners & contributors

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