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Data acquisition and Management (Data acquisition (Collecting information,…
Data acquisition and Management
Data acquisition
Collecting information
Providing timely access of data
Control access to relevant data
Reducing visibility gaps
Improving planning effectiveness
Ensuring and maintaining data accuracy
Type of data
PO
Inventory data
Order for demand analysis
Shipping data
Customer and supplier master file
Data capture
Consideration of data capture
Data voume
Having partial data is better than having no data
Capture at source
Data capture tools: manual versus passive
Capture ancillary data when possible
Real time versus batch data
Data capture challenges and possible solutions
Fast-paced environment
Hostile environment
Language or training issues
Data capture methods
Automatic identification technologies
Warehouse automation systems
Wireless radio data terminal
Synthesized voice
Pick-to-light
Heads-up display
Bar code and bar code scanners
UPC
QR code
RFID
Active tag
Passive tag
Semipassive tag
other types of AIDC devices
Smart card
Magnetic stripes
Vision systems
Point-of-sale systems
Impact of automated data capture on SC performance
Data base
Hierarchical database
Network databases
Relational databases
Interface middleware
Data oriented middleware
Process-oriented middleware
BPM
Data communication methods
Electronic data transfer
EDI data standards
Web services
Service-oriented architecture(SOA)
Ensuring data accuracy
Improving data accuracy
Sharing POS and other transaction-specific data across the SC
Collecting and transfer data in real time
Completing data entry at the time and place of the event
Data cleansing
Data normalization
Analyzing data
Data aggregation
Decision support systems(DSS)
Model and data validation