Advanced Animal Track-&-Trace Supply-Chain Conceptual Framework: An Internet of Things Approach
| Autor: | Norman Gwangwava, Albert U. Ude, Richard Addo-Tenkorang, Enoch N. Ogunmuyiwa |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Asset tracking
business.industry Supply chain 020208 electrical & electronic engineering 05 social sciences Intelligent decision support system Cloud computing 02 engineering and technology Business process modeling Computer security computer.software_genre Business risks Industrial and Manufacturing Engineering Conceptual framework Artificial Intelligence Animal track 0502 economics and business 0202 electrical engineering electronic engineering information engineering Business computer 050203 business & management |
| Zdroj: | Procedia Manufacturing. 30:56-63 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2019.02.009 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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