Auto-generation of digital twins for optimisation of planning and scheduling in manufacturing

自动生成数字孪生，用于优化制造中的规划和调度

• 批准号: 133632
• 金额: $ 8.8万
• 依托单位: FLEXCITON LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133632
• 关键词: Auto; generation; digital; twins; optimisation

Flexciton Limited has created and patented a completely novel means of manufacturing optimisation. We have tested the concept in four very different companies from different sectors and found that savings of over 20% can be produced through reduced labour costs, inventory levels, changeovers and boosted production. However, the major barrier to market has been that for each of our solutions we have to build a bespoke optimisation model for each manufacturer. This 9-month long project seeks to change this by automatically constructing a generalised 'one-size-fits-all' optimisation model for new manufacturing plants, in order to produce optimised production plans and schedules. This will be applicable to every sector of UK manufacturing.

Flexciton有限公司创造了一种全新的制造优化方法并获得了专利。我们已经在来自不同行业的四家非常不同的公司测试了这一概念，发现通过降低劳动力成本、库存水平、转换和提高产量，可以节省20%以上的成本。然而，市场的主要障碍是，对于我们的每个解决方案，我们必须为每个制造商建立一个定制的优化模型。这个长达9个月的项目旨在通过自动为新制造工厂构建一个通用的“一刀切”优化模型来改变这种状况，以产生优化的生产计划和时间表。这将适用于英国制造业的每一个部门。