Utilisation of Internet of Things to improve resource efficiency of food supply chains
conference contributionposted on 2017-10-05, 12:24 authored by Sandeep Jagtap, Shahin RahimifardShahin Rahimifard
The food sector is increasingly facing significant challenges throughout the supply chain to become more resource efficient. In this context, three critical areas of focus are the reduction of food waste, energy, and water consumption. One of the key factors identified as an obstacle to improving resource efficiency is the lack of suitable capabilities to collect, exchange and share real-time data among various stakeholders. Having such capabilities would provide improved awareness and visibility of resource use and help make better decisions that drive overall productivity of the supply chain. The principle concept of the ‘Internet of Things' (IoT) has been used in several applications to improve overall monitoring, planning, and management of supply chain activities. This paper explores the feasibility of adopting such IoT concepts to improve the resource efficiency of food supply chains. An IoTbased framework is proposed to support the incorporation of relevant data into supply chain decision-making models for the reduction of food waste, energy and water consumption.
This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Centre for Innovative Manufacturing in Food [Reference: EP/K030957/1].
- Mechanical, Electrical and Manufacturing Engineering
Published in8th International Conference on Information and Communication Technologies in Agriculture, Food & Environment
CitationJAGTAP, S. and RAHIMIFARD, S., 2017. Utilisation of Internet of Things to improve resource efficiency of food supply chains. IN: Salampasis, M., Theodoridis, A. and Bournaris, T. (eds). Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2017), Chania, Crete Island, Greece, September 21-24, 2017, CEUR Workshop Proceedings, vol. 2030, pp.8-19.
PublisherCEUR-WS.org (© The Authors)
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis conference paper was published by CEUR Workshop Proceedings and can be found at: http://ceur-ws.org/Vol-2030/. This paper was presented at HAICTA 2017. Copyright © 2017 for this paper by its authors. Copying permitted only for private and academic purposes.
Book seriesCEUR Workshop Proceedings; 2030