Optimisation of the resource efficiency of food manufacturing via the Internet of Things
Jagtap, Sandeep LU
; Garcia-Garcia, Guillermo
and Rahimifard, Shahin
(2021)
In Computers in Industry
127.
- Abstract
The food sector is currently very inefficient due to a large amount of food waste it generates, and the volumes of water and energy used. This problem is aggravated by increasing economic costs and stricter regulations associated with the disposal and treatment of food waste, carbon emissions and wastewater discharge. Because of this, resource efficiency is key to a sustainable food system. In this context, it is essential to reduce food waste, energy and water through transparent and accurate real-time monitoring to be able to understand the real reasons behind their generation/use. Understanding these reasons would help food manufacturers to redesign their processes and achieve operational improvements. The Internet of Things (IoT), a... (More)
The food sector is currently very inefficient due to a large amount of food waste it generates, and the volumes of water and energy used. This problem is aggravated by increasing economic costs and stricter regulations associated with the disposal and treatment of food waste, carbon emissions and wastewater discharge. Because of this, resource efficiency is key to a sustainable food system. In this context, it is essential to reduce food waste, energy and water through transparent and accurate real-time monitoring to be able to understand the real reasons behind their generation/use. Understanding these reasons would help food manufacturers to redesign their processes and achieve operational improvements. The Internet of Things (IoT), a relatively new manufacturing concept within Industry 4.0, can support this. IoT consists of an information technology infrastructure for data collection and distribution, that can significantly influence the efficiency and performance of manufacturing systems. This article presents an IoT-based framework for monitoring the generation of food waste and the use of energy and water in the food sector. The framework supports the identification of improvements to optimise the resource efficiency of food manufacturing through the design and implementation of a number of IoT-based tools.
(Less)
- author
- Jagtap, Sandeep
LU
; Garcia-Garcia, Guillermo
and Rahimifard, Shahin
- publishing date
- 2021-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Food manufacturing, Food supply chains, Industry 4.0, Internet of Things, Resource efficiency, Sustainability
- in
- Computers in Industry
- volume
- 127
- article number
- 103397
- publisher
- Elsevier
- external identifiers
-
- scopus:85100398322
- ISSN
- 0166-3615
- DOI
- 10.1016/j.compind.2021.103397
- language
- English
- LU publication?
- no
- additional info
- Funding Information: This research was funded by the Engineering and Physical Sciences Research Council (EPSRC) UK , grant number EP/K030957/1 . Publisher Copyright: © 2021
- id
- 60943606-e167-48fa-b14c-7014a14c6e73
- date added to LUP
- 2023-09-17 18:28:30
- date last changed
- 2024-03-22 00:27:12
@article{60943606-e167-48fa-b14c-7014a14c6e73,
abstract = {{<p>The food sector is currently very inefficient due to a large amount of food waste it generates, and the volumes of water and energy used. This problem is aggravated by increasing economic costs and stricter regulations associated with the disposal and treatment of food waste, carbon emissions and wastewater discharge. Because of this, resource efficiency is key to a sustainable food system. In this context, it is essential to reduce food waste, energy and water through transparent and accurate real-time monitoring to be able to understand the real reasons behind their generation/use. Understanding these reasons would help food manufacturers to redesign their processes and achieve operational improvements. The Internet of Things (IoT), a relatively new manufacturing concept within Industry 4.0, can support this. IoT consists of an information technology infrastructure for data collection and distribution, that can significantly influence the efficiency and performance of manufacturing systems. This article presents an IoT-based framework for monitoring the generation of food waste and the use of energy and water in the food sector. The framework supports the identification of improvements to optimise the resource efficiency of food manufacturing through the design and implementation of a number of IoT-based tools.</p>}},
author = {{Jagtap, Sandeep and Garcia-Garcia, Guillermo and Rahimifard, Shahin}},
issn = {{0166-3615}},
keywords = {{Food manufacturing; Food supply chains; Industry 4.0; Internet of Things; Resource efficiency; Sustainability}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Computers in Industry}},
title = {{Optimisation of the resource efficiency of food manufacturing via the Internet of Things}},
url = {{http://dx.doi.org/10.1016/j.compind.2021.103397}},
doi = {{10.1016/j.compind.2021.103397}},
volume = {{127}},
year = {{2021}},
}