Performance evaluation of tracking and tracing for logistics operations

A. H M Shamsuzzoha, Mikael Ehrs, Richard Addo-Tenkorang, Duy Nguyen, Petri T. Helo

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Today's complex logistics and supply chain management demands the continuous monitoring and managing of ever increasing shipment chains. This motivates the need for goods-centric tracking and tracing of logistics items, which ensures the opportunity to increase visibility and control in different logistics operations of a company. Recent technological developments enable manufacturing companies to trace and track goods over their entire life cycle and manage supply chain operations across organisational boundaries. The available auto-ID technologies such as barcodes, QR (quick response) codes, RFID (radio frequency identification) tags, etc., are widely used for monitoring the material flow in the logistics chain. However, a gap exists in evaluating performance and feasibility before implementing such technologies in respect to logistics and supply chain tracking and tracing network. Based on this research gap, this paper presents a methodology to measure the performance evaluation of available tracking and tracing technologies. An experimental set up was established and conducted with the objective of measuring the performances of the tracking technologies and tools. This research study would be a supportive roadmap for manufacturing companies before implementing suitable tracking and tracing technologies and tools in future everyday business operations.

Original languageEnglish
Pages (from-to)31-54
Number of pages24
JournalInternational Journal of Shipping and Transport Logistics
Volume5
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

Logistics
logistics
evaluation
performance
supply
Supply chains
Industry
manufacturing
monitoring
demand management
Monitoring
Supply chain management
technical development
Radio frequency identification (RFID)
Visibility
life cycle
Life cycle
radio
Performance evaluation
methodology

Keywords

  • Auto-ID technologies
  • Logistics tracking and tracing
  • Performance management
  • Supply chain management
  • Tracking and tracing tools

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Management Science and Operations Research
  • Transportation

Cite this

Performance evaluation of tracking and tracing for logistics operations. / Shamsuzzoha, A. H M; Ehrs, Mikael; Addo-Tenkorang, Richard; Nguyen, Duy; Helo, Petri T.

In: International Journal of Shipping and Transport Logistics, Vol. 5, No. 1, 2013, p. 31-54.

Research output: Contribution to journalArticle

Shamsuzzoha, A. H M ; Ehrs, Mikael ; Addo-Tenkorang, Richard ; Nguyen, Duy ; Helo, Petri T. / Performance evaluation of tracking and tracing for logistics operations. In: International Journal of Shipping and Transport Logistics. 2013 ; Vol. 5, No. 1. pp. 31-54.
@article{a323ae592a3d4467941077b4bf6b4e68,
title = "Performance evaluation of tracking and tracing for logistics operations",
abstract = "Today's complex logistics and supply chain management demands the continuous monitoring and managing of ever increasing shipment chains. This motivates the need for goods-centric tracking and tracing of logistics items, which ensures the opportunity to increase visibility and control in different logistics operations of a company. Recent technological developments enable manufacturing companies to trace and track goods over their entire life cycle and manage supply chain operations across organisational boundaries. The available auto-ID technologies such as barcodes, QR (quick response) codes, RFID (radio frequency identification) tags, etc., are widely used for monitoring the material flow in the logistics chain. However, a gap exists in evaluating performance and feasibility before implementing such technologies in respect to logistics and supply chain tracking and tracing network. Based on this research gap, this paper presents a methodology to measure the performance evaluation of available tracking and tracing technologies. An experimental set up was established and conducted with the objective of measuring the performances of the tracking technologies and tools. This research study would be a supportive roadmap for manufacturing companies before implementing suitable tracking and tracing technologies and tools in future everyday business operations.",
keywords = "Auto-ID technologies, Logistics tracking and tracing, Performance management, Supply chain management, Tracking and tracing tools",
author = "Shamsuzzoha, {A. H M} and Mikael Ehrs and Richard Addo-Tenkorang and Duy Nguyen and Helo, {Petri T.}",
year = "2013",
doi = "10.1504/IJSTL.2013.050587",
language = "English",
volume = "5",
pages = "31--54",
journal = "International Journal of Shipping and Transport Logistics",
issn = "1756-6517",
publisher = "Inderscience Enterprises Ltd",
number = "1",

}

TY - JOUR

T1 - Performance evaluation of tracking and tracing for logistics operations

AU - Shamsuzzoha, A. H M

AU - Ehrs, Mikael

AU - Addo-Tenkorang, Richard

AU - Nguyen, Duy

AU - Helo, Petri T.

PY - 2013

Y1 - 2013

N2 - Today's complex logistics and supply chain management demands the continuous monitoring and managing of ever increasing shipment chains. This motivates the need for goods-centric tracking and tracing of logistics items, which ensures the opportunity to increase visibility and control in different logistics operations of a company. Recent technological developments enable manufacturing companies to trace and track goods over their entire life cycle and manage supply chain operations across organisational boundaries. The available auto-ID technologies such as barcodes, QR (quick response) codes, RFID (radio frequency identification) tags, etc., are widely used for monitoring the material flow in the logistics chain. However, a gap exists in evaluating performance and feasibility before implementing such technologies in respect to logistics and supply chain tracking and tracing network. Based on this research gap, this paper presents a methodology to measure the performance evaluation of available tracking and tracing technologies. An experimental set up was established and conducted with the objective of measuring the performances of the tracking technologies and tools. This research study would be a supportive roadmap for manufacturing companies before implementing suitable tracking and tracing technologies and tools in future everyday business operations.

AB - Today's complex logistics and supply chain management demands the continuous monitoring and managing of ever increasing shipment chains. This motivates the need for goods-centric tracking and tracing of logistics items, which ensures the opportunity to increase visibility and control in different logistics operations of a company. Recent technological developments enable manufacturing companies to trace and track goods over their entire life cycle and manage supply chain operations across organisational boundaries. The available auto-ID technologies such as barcodes, QR (quick response) codes, RFID (radio frequency identification) tags, etc., are widely used for monitoring the material flow in the logistics chain. However, a gap exists in evaluating performance and feasibility before implementing such technologies in respect to logistics and supply chain tracking and tracing network. Based on this research gap, this paper presents a methodology to measure the performance evaluation of available tracking and tracing technologies. An experimental set up was established and conducted with the objective of measuring the performances of the tracking technologies and tools. This research study would be a supportive roadmap for manufacturing companies before implementing suitable tracking and tracing technologies and tools in future everyday business operations.

KW - Auto-ID technologies

KW - Logistics tracking and tracing

KW - Performance management

KW - Supply chain management

KW - Tracking and tracing tools

UR - http://www.scopus.com/inward/record.url?scp=84870816702&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870816702&partnerID=8YFLogxK

U2 - 10.1504/IJSTL.2013.050587

DO - 10.1504/IJSTL.2013.050587

M3 - Article

AN - SCOPUS:84870816702

VL - 5

SP - 31

EP - 54

JO - International Journal of Shipping and Transport Logistics

JF - International Journal of Shipping and Transport Logistics

SN - 1756-6517

IS - 1

ER -