论文标题

报纸问题在供应链优化在线时尚电子商务中的应用

An Application of Newsboy Problem in Supply Chain Optimisation of Online Fashion E-Commerce

论文作者

Kamanchi, Chandramouli, Kumar, Gopinath Ashok, Sundaram, Nachiappan, T, Ravindra Babu, Bandi, Chaithanya

论文摘要

我们描述了在印度一家在线时尚电子商务公司Myntra中部署的供应链优化模型。我们的模型简单,优雅且易于使用。该模型利用历史数据,并预测存储单位(SKU)的数量以使指标“履行指数”和“利用率指数”得到了优化。我们介绍了模型中心的数学,并将模型的性能与基线回归解决方案进行比较。

We describe a supply chain optimization model deployed in an online fashion e-commerce company in India called Myntra. Our model is simple, elegant and easy to put into service. The model utilizes historic data and predicts the quantity of Stock Keeping Units (SKUs) to hold so that the metrics "Fulfilment Index" and "Utilization Index" are optimized. We present the mathematics central to our model as well as compare the performance of our model with baseline regression based solutions.

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