Int. J. Shipping and Transport Logistics, Vol. 5, No. 1, 2013 31 Copyright © 2013 Inderscience Enterprises Ltd. Performance evaluation of tracking and tracing for logistics operations A.H.M. Shamsuzzoha*, Mikael Ehrs, Richard Addo-Tenkorang, Duy Nguyen and Petri T. Helo Department of Production, University of Vaasa, P.O. Box 700, FI-65101, Finland E-mail: ahsh@uwasa.fi E-mail: michael.ehrs@uwasa.fi E-mail: richard.addo-tenkorang@uwasa.fi E-mail: duy.phuong@wapice.com E-mail: phelo@uwasa.fi *Corresponding author 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: logistics tracking and tracing; auto-ID technologies; supply chain management; performance management; tracking and tracing tools. Reference to this paper should be made as follows: Shamsuzzoha, A.H.M., Ehrs, M., Addo-Tenkorang, R., Nguyen, D. and Helo, P.T. (2013) ‘Performance evaluation of tracking and tracing for logistics operations’, Int. J. Shipping and Transport Logistics, Vol. 5, No. 1, pp.31–54. Biographical notes: A.H.M. Shamsuzzoha has been working as a Post-doctoral Researcher in the Department of Production, University of Vaasa, Finland, since September 2011. He received his PhD in Industrial Management from the University of Vaasa, Finland in 2010. He received his Master of Science (Mechanical Engineering) from the University of Strathclyde, Glasgow, UK. Currently his research activities are devoted to the integration of