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Using Data to Drive Sustained Improvements in Dairy Supply Chain Operations towards Net Zero

Using Data to Drive Sustained Improvements in Dairy Supply Chain Operations towards Net Zero
利用数据推动乳制品供应链运营的持续改进,实现净零排放
批准号:
10081105
负责人:
金额:
$24.88万
依托单位国家:
英国
项目类别:
Responsive Strategy and Planning
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

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中文摘要
翻译
鉴于苏格兰和英国政府设定的净零目标,减少乳制品供应链的能源浪费和碳足迹是该行业面临的最大挑战之一。这个项目的核心是:*自动收集一系列合作社成员牛奶场的关键耗能设备的运营数据;*向管理层和员工提供数据分析,以突出浪费和改进的机会;*跟踪和加强效率改进,将其嵌入奶场的运营,锁定温室气体(GHG)的减少,并增加业务可持续性;*促进对等比较和确定牧场之间的最佳做法;*通过实时数据,根据牧场的散装牛奶储存状况确定优化物流收集的机会;以及*维持持续改进的循环,同时维持和改善产品质量。实现净零的一个重要部分是个人行为的改变。该项目的数字解决方案,通过将GHGE的范围从牛奶桶到奶油厂,将使农民和乳制品厂运营商能够更接近他们的净零目标,并在持续改进的过程中尽可能广泛地接触利益相关者。这个项目将利用利益相关者产生的数据来确定改进的机会,并量化供应链管理所做的变化对所有相关各方的影响(包括农场的质量溢价、节能运输和更好的奶制品)。通过这个数字供应链加工的每升牛奶的二氧化碳e值(排放指数)的可追溯性将导致日常运营决策的改善。这种方法也为超市/消费者不断增长的对碳感知奶制品来源的需求提供了一个适销对路的答案。该项目将利用MSA鸡舍的10个农场与苏格兰南部和西部的其他合作伙伴合作建立。
英文摘要
Reducing the energy wastage and carbon footprint of the dairy supply chain is one of the greatest challenges of this sector given net-zero targets set by the Scottish and UK Governments. The core of this project is to:* automate the gathering of operational data on a range of cooperative members' dairies for key energy consuming equipment;* present the analysis of that data to the management and staff in such a way that it highlights waste & opportunities for improvement;* track and reinforce efficiency improvements to embed it in the dairy's operation, lock in greenhouse gas (GHG) reduction and increase business sustainability;* facilitate peer-to-peer comparison and identification of best practice between farms;* identify opportunities for optimisation of logistics collections based on bulk milk storage status on farm through real time data; and* sustain the cycle of continuous improvement whilst maintaining and improving quality of product.A significant part of achieving Net Zero is behavioural change of individuals. The project's digital solution, by scoping GHGE from the milk vat to the creamery, will enable farmers and dairy plant operators to edge closer to their net-zero targets and engage as wide a spectrum as possible of stakeholders in the process of continuous improvement. This project will leverage the data produced by stakeholders to identify opportunities for improvement and to quantify the impact of changes made along the supply chain management to benefit all involved (including quality premiums for the farms, energy efficient transport and better creamery products).The traceability of CO2e value of every litre of milk (Emission Index) processed through this digital supply chain will lead to betterment of operational decisions on a daily basis. This approach also provides a marketable answer to the ever-growing demand of the supermarkets /consumer for carbon aware sources of dairy products.This project will be setup using 10 farms from the MSA coop in collaboration with other partners in South and West of Scotland.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: