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工业4.0的需求预测:预测B2B领域来自多个来源的离散需求Demand Forecasting for Industry 4.0: predicting discrete demand from multiple sources for B2B domain |
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| 课程网址: | http://videolectures.net/sikdd2019_rozanec_multiple_sources/ |
| 主讲教师: | Jože Martin Rožanec |
| 开课单位: | josef Stefan研究所 |
| 开课时间: | 2019-11-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 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: | 需求预测; 离散元件; 工业数字化 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-04：chenjy |
| 最后编审: | 2023-05-13：chenjy |
| 阅读次数: | 28 |