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

13 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

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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

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