Advanced Animal Track-&-Trace Supply-Chain Conceptual Framework: An Internet of Things Approach

Article


Addo-Tenkorang, R., Gwangwava, N., Ogunmuyiwa, E. N. and Ude, A. U. 2019. Advanced Animal Track-&-Trace Supply-Chain Conceptual Framework: An Internet of Things Approach. Procedia Manufacturing. 30, pp. 56-63. https://doi.org/10.1016/j.promfg.2019.02.009
AuthorsAddo-Tenkorang, R., Gwangwava, N., Ogunmuyiwa, E. N. and Ude, A. U.
Abstract

Information and data transmission, as well as total visibility in terms of supply chain track-&-trace, is seriously lacking in current industrial logistics-&-supply-chain management activities. This paper proposes the application of RFIDs and the Internet of things’ enterprise systems architecture to, propose a low-cost feasible cloud solution. This solution would keep track of health history, birth records, ownership history and track location of each animal by using an electronic solar-powered tag instead of the current passive ear tags. This paper employs GPRS, GSM and the Google Earth function along with RFIDs to design an enhanced proposed enterprise system-architecture framework in the form of a business process model. Various areas such as e-health, e-commerce, and cloud-based manufacturing have been revolutionized by discoveries in digitized practices. Advancements in the Internet of things led to the advent of asset tracking systems, condition monitoring and various intelligent systems that exchange data over the cloud. Farmers are very vulnerable to stock theft, straying animals and high business risks due to poor animal health management practices. Existing tracking systems have high ownership costs since some of them rely on GSM network providers whose services are costly for farmers. Innovations in digitized systems continue to add more value to businesses and individuals across broad range sectors. Authors of this paper propose a low-cost intelligent animal tracking system for an African free-ranging environment. Economies worldwide are ever becoming digital and animal husbandry practices stand to benefit from this digitisation approach.

JournalProcedia Manufacturing
Journal citation30, pp. 56-63
ISSN2351-9789
Year2019
PublisherElsevier
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.1016/j.promfg.2019.02.009
Publication dates
Online23 Apr 2019
Publication process dates
Deposited02 Dec 2022
Copyright holder© 2019 The Authors
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