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The digitisation of food manufacturing to reduce waste - Case study of a ready meal factory

机译:食品制造业的数字化减少废物的案例研究

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Generation of food waste (FW) continues to be a global challenge and high on the political agenda. One of the main reasons for its generation is the absence of detailed data on the amount, timing and reasons for created waste. This paper discusses the design, the application and investigates the Internet of Things (IoT) based FW monitoring system to capture waste data during manufacturing in real-time and make it available to all the stakeholders in a food supply chain (FSC). A case study of ready-meal factory comprises of design and architecture for tracking FW including both hardware and software, its implementation in the factory and the positive data-driven results achieved. The case study demonstrates the benefits of digital FW tracking system including the FW reduction of 60.7%, better real-time visibility of the FW hotspots, reasons for waste generations, reliable data, operational improvements and employee behavioural transformation. Although the system replaced the paper-based manual system of tracking FW in the factory, it still needed human input to confirm the waste and was prone to human errors. Overall, the implementation of an IoT-based FW tracking system resulted in a reduction of FW and created a positive environmental and financial impact. Crown Copyright (C) 2019 Published by Elsevier Ltd.
机译:食物垃圾(FW)的生成仍然是政治议程的全球挑战和高位。生成的主要原因之一是缺乏关于创造垃圾的金额,时间和原因的详细数据。本文讨论了设计,应用程序和调查了基于FW监控系统的内容(IOT),以实时制造过程中的废物数据,并使所有利益相关者提供给食品供应链(FSC)。对即用餐厂的案例研究包括用于跟踪FW的设计和架构,包括硬件和软件,其在工厂的实施以及实现的正数据驱动的结果。案例研究展示了数字FW跟踪系统的益处,包括FW减少60.7%,FW热点的更好的实时可见性,废物代理,可靠的数据,运营改进和员工行为转型。虽然系统在工厂中取代了基于纸张的手动系统,但它仍然需要人类输入来确认浪费并容易发生人类错误。总的来说,基于物联网的FW跟踪系统的实现导致FW的减少,并创造了积极的环境和财务影响。欧姆维尔有限公司出版的皇冠版权(c)2019

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