Physical-Virtual Unison + business context without with just connecting physical and system is meaningless, This was done in 2005-08, industry is catching up now with Digital Twin in an imperfect way but hopefully will correct itself to align with this vision!!

1. Know…Now!

2. UNISION

3. RFID
• Comprises Readers, Tags and Antennae
• Working
– Tags are like SIM Cards – but can only reply ‘ I am so and so..’
– Readers/Antennae are like cell towers – but can talk to a couple of meters
only
– Tagged objects (moving/moveable) communicate what Tags are
programmed to, with the Readers through Antennae
• Not a substitute for Barcode- sometimes more and sometimes less
than a Barcode
• Just another tool for Data Capture – part of AIDC Spectrum
• Caveat - A tool is as good as the person using it

4. Perspectives
• RFID can be implemented for point solutions
• Can also be implemented for long-term Business
Process improvements
• Design an implementation for the long-term, also
accommodating point solutions
• A good implementation will use RFID data for
Data Modeling and Synthesis

5. • Your ROI depends on your perspective
RFID as business enhancer – Data
collector and router
Data Analytics, Modeling, BI
et c
RFID as solution facilitatorBAM, BPR et c
RFID as Compliance tool
RFID as technology-Point solutionsAccess Control, Automation etc.
Benefit / Return Perspective
Perspectives

6. Data Model
• Objects (moving/moveable) – with temporal and historical
attributes, relationships
• Locations – absolute and relative to movement of objects
• Transactions – interaction among objects-locations, change in
object-object, object-location relationships
• All linked through processes, time and space coordinates
• All captured through an observatory (set of sensors like
Readers)

7. Data Model
An object tagged with required details –
identification etc
8 10 10
30 20 50
25 8 15
relat’nship
1 2 3
timeid
productid
111213

8. Data Model
An object tagged with required details –
identification etc
Capture association (Containment) details. Also
association with employees, locations (BIN)
etc through sensors
Capture Transaction Details – PO, ASN
etc.,
Capture Change Parameters
– Location, Transit,
Transaction et c
Capture Location (Shelf),
Transaction, Process
et c
Capture Path, Stops,
Basket (Tagged
Trolley) etc.,

9. Data Model
• Reactive
• Silos of data – many disjoints – esp’ly physical context
• Limited Collaboration - as no control over process execution
• Aggregate Data only
Business Processes
Transactions happen real-time
Business Analysis
Non-granular data, Non-
contextual, Off-line, Latency,
• Proactive
• Informed real-time Business Analyses
• Collaborative
• Contextual, Continual data – no disjoints
• Granular Data
• Control over Process Execution and
Monitoring
• Ability to take decisions real-time and
feedback to the system
• Broader distribution with many
opportunities for collaboration
• Merging Business Analysis with Business
Process
Real-Time,
Contextual,
Process-Centric
Data

10. Business Case Approach
CONQUER
C – Collect & Control Data – Multi- protocol, vendor hardware,
24x7Health Monitoring of Grid
O – Organize Data – Filter,parse
N – Nurture Data - Convert data to valuable info, Selective Filtering
Q – Qualify Information - Apply Business Context, define Impact
U – Understand Information – Associate impacted business process
component,Sharing and Collaboration
E - Extrapolate Information – EAI – To the relevant business process
component
R - React – Execute responses on behalf of the enterprise

11. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R
A Unique
Approach

12. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R
Tracking Material
and people
movement, sensing
environmental
changes – Pressure,
Gas, Chemical
sensors etc.,

13. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

14. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

15. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

16. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

17. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

18. Business Analytics Custom Reporting Enterprise Apps
Statistical
Analysis
Parameters Parameters
Analytics Preparatory Relevance Filtering Aggregation
Data Capture (AIDC) Black Box
Data Parsing
Selective Filtering
Event Generation
Rule Base
Process Enabling
Actions
Space
Ti
m
e
Material Movement People Movement En’ronment Changes
C
O
N
Q
U
E
R

19. Q&A

20. THANK YOU!