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A Robust and Easy Approach for Demand Forecasting in Supply Chains

机译:一种鲁棒,轻松的供应链需求预测方法

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Demand forecasting plays an important role for supply chains decision making. It also represents a basis step for activity planning in response to customer demand. In this paper, recent advances in times series allow a new robust and easy approach for demand forecasting. Such technique which is based on algebraic methods of estimation seems to be more adequate for such supply chains task. Several computer simulations and comparative studies demonstrate the relevance of the proposed approach.
机译:需求预测对于供应链决策起着重要作用。它还代表了响应客户需求进行活动计划的基础步骤。在本文中,时间序列的最新进展为需求预测提供了一种新的强大而简便的方法。这种基于代数估算方法的技术似乎更适合这种供应链任务。若干计算机模拟和比较研究证明了该方法的相关性。

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