Development of an Autonomous & Intelligent Supply Chain Overall Resource Effectiveness (SCORE) tool for improving resource usage efficiency & reducing waste production in food and drink supply chains

该项目的目标是为食品和饮料行业开发创新技术，大大提高资源利用效率，减少食品和饮料公司及其供应链中的废物产生。开发的供应链整体资源效率（SCORE）系统将通过大大扩展能够衡量资源使用效率低下和浪费产生水平的绩效指标范围，扩展现有的绩效改进系统。SCORE还将增加识别和永久解决资源使用效率低下和废物产生的根本原因的关键能力，并能够预测新出现的负面趋势和突然的不利变化。开发的创新技术将开发先进的建模能力，用于确定单个SCORE指标之间的优先级和因果关系，并使用这些关系建立趋势预测和根本原因分析的模拟模型。监督评分将是一个自主决策系统，为新兴和突发的资源效率和废物产生问题选择最佳解决方案。

The project aim is to develop, for the food & drink sector, innovative technology that provides greatly enhanced resource usage efficiency & reduction in waste production both within individual food & drink companies but also across their supply chains. The Supply Chain Overall Resource Effectiveness (SCORE) system developed will extend existing performance improvement systems by greatly extending the range of performance metrics able to measure levels of resource usage inefficiency & waste production. SCORE will also add critical capability for identifying & permanently resolving root causes of resource usage inefficiency & waste production and enable prediction of emerging negative trends & sudden adverse changes. Innovative technology developed will develop advanced modelling capability for determining the precedence & causal relationships between individual SCORE metrics and use of these relationships to build simulation models for trend prediction & root cause analysis. Overseeing SCORE will be an autonomous decision system that selects optimum solutions for emerging & sudden resource efficiency and waste production issues.