Development of an Innovative Autonomous & Intelligent Demand Management Tool (AIDMT) for Refrigerated and Shelf-Life Constrained Food Supply Chains

创新型自主研发

• 批准号: 101397
• 金额: $ 70.08万
• 依托单位: APPRISE CONSULTING LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=101397
• 关键词: Development; Innovative; Autonomous; Intelligent; Demand

Within refrigerated and shelf-life constrained food supply chains extremely high levels of demand fluctuations arise preventing organisations achieving the high levels of customer service required by large retail customers whilst ensuring high levels of waste are not produced. In order to resolve these problems more effective management of demand is required from procurement of basic materials by processers and manufacturers through to distribution of finished goods to retail customers. To achieve this aim this project will develop a novel Autonomous & Intelligent Demand Management (AIDMT) approach by structuring the causal and planning relationships between retail demand forecasts, production schedules and capacity plans as autonomous control networks. These networks will be constructured using the basic principles of gene transcription regulatory control that when applied to demand management enable fast and flexible responses to demand fluctuations.

在冷藏和保质期受限的食品供应链中，出现了极高水平的需求波动，阻止组织实现大型零售客户所需的高水平客户服务，同时确保不产生高水平的浪费。为了解决这些问题，需要对从加工商和制造商采购基本材料到将成品分配给零售客户的整个过程中的需求进行更有效的管理。为了实现这一目标，该项目将通过构建零售需求预测，生产计划和产能计划之间的因果关系和规划关系，作为自主控制网络，开发一种新的自主智能需求管理（AIDMT）方法。这些网络将使用基因转录调控的基本原理来构建，当应用于需求管理时，可以对需求波动做出快速灵活的反应。