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工业4.0需求预测:预测B2B领域多个来源的离散需求

Demand Forecasting for Industry 4.0: predicting discrete demand from multiple sources for B2B domain
课程网址: http://videolectures.net/sikdd2019_rozanec_multiple_sources/  
主讲教师: Jože Martin Rožanec
开课单位: Jožef Stefan研究所
开课时间: 2019-11-14
课程语种: 英语
中文简介:
需求是买方在某一时间点所需的某种产品的数量。需求预测试图根据可用信息预测未来需求。它被视为每个制造公司的关键组成部分,因为它的改进直接转化为资源规划、库存和整体运营。在工业4.0的背景下,工业数字化提供了越来越多的数据源,可用于获取所有操作的可见性,并用于优化其中的不同流程。这也为需求预测领域带来了新的可能性,在该领域,可以集成多个数据源,以获取及时数据,进行准确预测。我们描述了离散组件B2B行业需求预测的有效方法。建议的方法在六个月内的大多数月份提供了与后勤人员一样好或更好的预测,并在考虑到所有测试月份期间实现了节省
课程简介: Demand is the amount of certain product required by buyers at a point in time. Demand forecasting tries to predict future demand based on available information. It is considered a key component of each manufacturing company since improvements on it translate directly to resources planning, stocks and overall operations. In the context of Industry 4.0, industry digitalization provides an everincreasing number of data sources which can be consumed to gain visibility over all operations and used to optimize different processes within it. This also opens new possibilities into the field of demand forecasting, where multiple data sources can be integrated to get timely data for accurate forecasts. We describe an efficient approach for demand forecasting for discrete components B2B industry. The proposed approach provides as good or better forecasts as logisticians for most months in six months period and achieves savings considering all test months period
关 键 词: 工业4.0需求预测; 预测B2B领域; 多个来源的离散需求
课程来源: 视频讲座网
数据采集: 2022-09-09:cyh
最后编审: 2022-09-19:cyh
阅读次数: 30