TeamStation AI System Report LATAM IT Salaries 2024
Connected Manufacturing with MQTT
1. CONNECTED
MANUFACTURING
WITH MQTT
Vatsal Shah | CEO & Founder, Litmus Automation
@ LAutomation
IOT at Scale | Oct 17, 2014 Palo Alto
2. A small manufacturing facility could generate 2
to 10 terabytes a year.
A large one 16 to 80 terabytes
An entire enterprise would need to handle 80
to 5,000 terabytes a year
Entire U.S. machining sector could
generate from 200 petabytes to 1
xylobabyte a year.
3. L S
I
L
O
S
F.R.A.G.M.E.N.T.E.D
V
E
R
T
I
C
A
CURRENT
SCENARIO 1
4. STAND - ALONE
Machine Focused Systems
CURRENT
SCENARIO 2
5. INFORMATION
PROCESS FLOW
Finance Operations
Marketing Sales
Raw
Material
Shop
Floor
Design &
Engg
Production
DECISION MAKING
UNITS
CURRENT
SCENARIO 3
17. THANK YOU
THINGS | BUSINESS | CONNECTED
@litmusautomation
@LAutomation
@Litmus Automation
litmusautomation.com
Notes de l'éditeur
Massive Data – Connected Manufacturing is data-driven
Leading to redundant resources
Information Islands are created
No information integration – waterfall step-by-step process
Can be optimized if decision making units benefit from real-time production data, decisin makers get real-time feedback
Instead of hierarchical structures, service-orientated architectures become prevalent in industries to improve system flexibility and seamless transition of reconfiguration
Current process flow does not allow this:
Connectivity from the lowest end of the process chain, nearest the work piece or shop floor, to the highest design or process-planning tool. Additionally, the interoperability provided by iOt PROTOCOLS, enables a host of third-party solution providers to develop software and hardware to make the entire manufacturing enterprise more productive.
Part traceability primarily deals with what part was manufactured, along with when and where.
Process traceability builds and expands on this information to understand fully how the part was manufactured. With a process traceability system,
analytics are built to fully understand the manufacturing process execution and its impacts and apply this information in improving efficiencies