JEC COMPOSITES MAGAZINE - Issue #107 - August/September 2016 - 35

A path to the future: now is a time for robots

Fig. 3: Following
the digital thread; all
related information of
a new roll is attributted
to the existing kit and
vice versa

Fig. 2: Parts manufactured on the production
floor inherit information
from their 'parent' parts
or materials before
they are independently
tracked

Fig. 4: Live map shows all assets location, highlighting assets in jeopardy

its history, time sensitive data, status, location
as well as its relationship with other assets).
Figure 3 below demonstrates how when new
raw material (see below 'roll 156') is allocated
to a specific kit, all its related information is attributed to it and vice versa, thus the new kit
inherits its expiration date and ETL from the
originating roll.
With a rich, digital data and view of actual
and historical production information for

each part created, there are several levels
of increased value such as real-time visibility, insights and intelligent alerts. A Live map
(figure 4) shows assets' locations and status,
updated automatically and highlighting assets
which reached thresholds with real time alerts
and notifications for supervisors to allow real
time data-driven actions (see step #3 to follow). Figures 5a & 5b represents how location
and status changes for each asset are stored in

the system creating a digital twin.
Doing so establishes wealth of information
that could be integrated to backend systems
for reporting, auditability and traceability.
When new parts are fabricated or when a kit
is added to an assembly a digital presentation
of each step of the production process is recorded, creating full genealogy, visible to all
stakeholders and stored in the system.

Step #3: Optimized, automated,
context-aware decisions and actions
from production planning to execution whith the complete picture in
real time
In any case of production failure - such as:
damaged raw material, damaged tool, tool's
availability, kit re-cut, freezer malfunction and
its shelf-life impacts, or any other quality assurance failure - immediate action is enabled
as all changes of each tracked asset are logged
into the system, creating a digital 'twin' of
it. TPO's algorithm automatically turn that
knowledge into software-driven actions, optimization decisions and real-time data driven
actions, using shop-floor sensors and RFIDbased technology to track assets' movements
and status on the production floor along its
entire lifecycle.

Conclusion

Fig. 5: Location
changes are stored
in the system (a),
As well as time
sensitive data,
creating a quality oriented 'digital
twin' (b)

Matching the order due date/quantity, actual
material expiration date and size (width &
length) while considering the full order plan
for additional optimization opportunities,
TPO drives significant cost savings and increased productivity.

No107 August - September 2016

More information:
www.plataine.com

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Table of Contents for the Digital Edition of JEC COMPOSITES MAGAZINE - Issue #107 - August/September 2016
