期刊
COMPUTERS IN INDUSTRY
卷 127, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.compind.2021.103397
关键词
Food manufacturing; Food supply chains; Internet of Things; Industry 4.0; Sustainability; Resource efficiency
资金
- Engineering and Physical Sciences Research Council (EPSRC) UK [EP/K030957/1]
- EPSRC [EP/K030957/1] Funding Source: UKRI
The food sector is currently facing inefficiencies due to high levels of food waste, water and energy usage. In order to achieve resource efficiency and sustainability, it is essential to reduce waste and optimize the use of resources through real-time monitoring using IoT technology. This can help food manufacturers identify areas for improvement and redesign processes to achieve operational enhancements.
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. (C) 2021 Published by Elsevier B.V.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据