Part-level carbon calculator for advanced engineering supply chain

到2050年，航空业的脱碳将是一个巨大的挑战。为此，业界正采用绿色供应链管理方法，包括采购对环境负责的物料/零件、在设计中加入环保标准，以及减少资源/能源/物料消耗，以尽量减少污染/废物。一个关键的实施障碍是对制造零件的碳重量缺乏了解。该项目旨在开发碳计算器软件，使制造商能够准确地计算所生产的每个工程部件的碳足迹。敏捷集团系统与服务（领导）是开发物料需求计划（MRP）的行业领导者-在先进制造领域拥有丰富经验的制造和工程行业软件，特别是航空航天（蓝筹组织和中小企业）。Warren Services（合作伙伴）是制造高质量工程部件和HVM供应链的专家，是现有客户和目标最终用户。客户精确计算其生产的单个工程项目的碳足迹的概念源于AGSS与工程供应链成员之间的多次对话。该项目将开发一种使用真实的的新型软件工具，及时获取制造数据，以识别碳密集型工艺，并帮助做出选择组件和切换到具有改进碳证书的替代工艺的决策。这将有助于企业遵守政府关于排放的新立法（到2050年实现净零排放）。主要功能/输出措施：* 自动生成每个部件的产品碳足迹，突出整个生产系统的气候相关热点。*预测分析允许用户输入新产品的估计数据，并预测该产品单独或整个生命周期的总体碳影响。实时控制：实时监控生产机器，以识别可能对碳排放证书产生负面影响的性能变化。*允许公司计算报废和返工零件的货币/碳成本。

Decarbonising aviation by 2050 will be a huge challenge. In response the sector is adopting green supply chain management (GSCM) approaches which involves purchasing environmentally responsible materials/parts, incorporating environmental criteria into design, and reducing resource/energy/material consumption to minimise pollution/waste. A key implementation barrier is the lack of understanding regarding the carbon weight of manufactured parts.This project seeks to develop Carbon Calculator software that will for the first time, enable manufacturers to accurately calculate the carbon footprint of each individual engineered component produced.Agile Group System & Services (Lead) is an industry leader in developing Material Requirements Planning (MRP)-software for the manufacturing and engineering sectors with extensive experience within advanced manufacturing, particularly for Aerospace (blue chip organisations and SMEs). Warren Services (Partner) are experts in the manufacture of high-quality engineering components and subassemblies supplying HVM sectors and are an existing customer and target end-user.The concept for customers to accurately calculate the carbon footprint of individual engineered items they produce arose from multiple conversations between AGSS and members of the engineering supply chain.This project will develop a novel software tool that uses Real-time manufacturing data to identify carbon intensive processes and help inform decision on selecting components and switching to alternative processes with improved carbon credentials. This will aid companies in adhering to new government legislation regarding emissions (net zero by 2050).Key features/output measures:* Automatically generate Product Carbon Footprint for each part, highlighting climate-relevant hotspots of the whole production system.* Predictive analysis allows users to input estimate data for new products and predict the overall carbon impact of that product, individually or over the full life-cycle.* Real-time control: Monitoring production machines in real-time to identify performance changes that may negatively impact carbon credentials.* Allow companies to calculate the monetary/carbon cost of scrapped and reworked parts.