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Performance evaluation of tracking and tracing for logistics operations
A. H.M. Shamsuzzoha
, Mikael Ehrs
,
Richard Addo-Tenkorang
, Duy Nguyen
, Petri T. Helo
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Research output
:
Contribution to journal
›
Review article
›
peer-review
53
Citations (Scopus)
Overview
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Engineering
Manufacturing Company
100%
Logistics Operation
100%
Technological Development
50%
Continuous Monitoring
50%
Radio Frequency Identification
50%
Material Flow
50%
Management Chain
50%
Demand Management
50%
Entire Life Cycle
50%
Quick Response
50%
Response Code
50%
Computer Science
Supply Chain
100%
Performance Evaluation
100%
Technological Development
33%
Radio Frequency Identification
33%
Organizational Boundary
33%
Continuous Monitoring
33%
Tracking Technology
33%
Business Operation
33%
Social Sciences
Supply Chain Management
100%
Performance Evaluation
100%
Scientific Development
50%
Life Cycle
50%
Supply Chain Operation
50%
Keyphrases
Supply Chain Tracing
33%
Radio Frequency Identification Tag
33%
Auto-ID
33%