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Using AI to Advance Factory Planning: A Case Study to Identify Success Factors of Implementing an AI-Based Demand Planning Solution

机译:使用AI推进工厂规划:案例研究确定实施基于AI的需求计划解决方案的成功因素

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Rational planning decisions are based upon forecasts. Precise forecasting has therefore a central role in business. The prediction of customer demand is a prime example. This paper introduces recurrent neural networks to model customer demand and combine the forecast with uncertainty measures to derive decision support of the demand planning department. It identifies and describes the keys to the successful implementation of an AI-based solution: bringing together data with business knowledge, AI methods and user experience, and applying agile software development practices.
机译:理性规划决策基于预测。 因此,精确的预测在业务中具有核心作用。 客户需求的预测是一个主要示例。 本文介绍了经常性的神经网络,以建立客户需求,并将预测与不确定性措施相结合,以导出需求规划部门的决策支持。 它识别并描述了成功实现基于AI的解决方案的键:将数据与业务知识,AI方法和用户体验一起集合在一起,并应用敏捷软件开发实践。

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