Author:
G. Meyer Gerben,Buijs Paul,B. Szirbik Nick,(Hans) Wortmann J.C.
Abstract
Purpose
– Many transportation companies struggle to effectively utilize the information provided by tracking technology for performing operational control. The research as presented in this paper aims to identify the problems underlying the inability to utilize tracking technology within this context. Moreover, this paper aims to contribute to solving these problems by proposing a set of design principles based on the concept of intelligent products.
Design/methodology/approach
– The study as described in this paper adopts a design science research methodology consisting of three phases. First, a case study in a transportation company has been performed to identify the problems faced when utilizing tracking technology. Second, to overcome these problems, a set of design principles has been formulated. Finally, a prototype system based on the design principles has been developed and subjected to experimental and observational evaluation.
Findings
– This paper identifies the problems associated with the utilization of tracking technology for the control of transport operations. Moreover, the proposed design principles support the development of information systems which overcome the identified problems and thereby enhance the utilization of tracking technology in a transportation context.
Originality/value
– The commonly held perception that tracking technology will improve the ability to perform operational control does not unequivocally stand up to empirical scrutiny. While it is widely demonstrated that tracking technology is able to accurately capture the detailed operational information, it remains a fundamental challenge to transform this abundance of information into accurate and timely control decisions. This research provides a valuable contribution with respect to tackling this challenge, by identifying problems and providing solutions related to the utilization of readily available tracking technology.
Subject
Management of Technology and Innovation,Strategy and Management,General Decision Sciences
Reference61 articles.
1. Anon
(2007), “Tracking technology grows”, The Jacksonville Business Journal, available at: www.bizjournals.com/jacksonville/stories/2007/01/15/story3.html.
2. Brintrup, A.
,
Ranasinghe, D.
and
McFarlane, D.
(2010), “RFID opportunity analysis for leaner manufacturing”, International Journal of Production Research, Vol. 48 No. 9, pp. 2745-2764.
3. Bussmann, S.
and
Schild, K.
(2000), “Self-organizing manufacturing control: an industrial application of agent technology”, Proceedings of the Fourth International Conference on Multi-Agent Systems, Boston, MA, IEEE, Los Alamitos, CA, pp. 87-94.
4. Cheng, C.-Y.
,
Barton, D.
and
Prabhu, V.
(2010), “The servicisation of the cutting tool supply chain”, International Journal of Production Research, Vol. 48 No. 1, pp. 1-19.
5. Comert, G.
and
Cetin, M.
(2009), “Queue length estimation from probe vehicle location and the impacts of sample size”, European Journal of Operational Research, Vol. 197 No. 1, pp. 196-202.
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