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Blockchain-empowered Newsvendor optimization

机译：BlockChain-Empowered NewsVendor优化

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摘要

Technology has been widely adopted as a backbone for supply chain management, especially in the context of retailing. For example, Blockchain Technology (BCT) has been embraced as a disruptive technology, though it is still in a nascent stage. This study examines the technology adoption for Newsvendor model (a.k.a Newsboy), as exemplified by a blockchain system. It aims to shed light on how BCT adoption impacts the optimal ordering decisions and the corresponding optimal profit. Importantly, we investigate the optimal adoption of technology for profit optimization while considering the adoption cost. As a result, we visualize how technology adoption shifts the curve. For some selected demand types (e.g., Uniform and Normal distributions) and the Cobb-Douglas cost function, we derive closed-form expressions for the optimal decisions, based on which some useful insights have been developed. Although high adoption of BCT leads to higher demand and lower ordering cost, some counter-intuitive examples have been devised to reveal that the increase in adoption degree might lower the optimal order quantity and it is not always profitable to adopt a higher BCT even if there is no adoption cost. Finally, a sequence of numerical studies complements our analytical results with rich and useful insights.
机译：技术已被广泛采用作为供应链管理的骨干，特别是在零售方面的背景下。例如，区块链技术（BCT）已被纳入颠覆性技术，尽管它仍处于新生的阶段。本研究探讨了新闻国模型（A.K.A新闻网）的技术采用，如区块链系统所示。它旨在阐明BCT采用如何影响最佳排序决策和相应的最佳利润。重要的是，我们调查了考虑采用成本的盈利优化技术的最佳采用。因此，我们可视化技术采用的方式转移曲线。对于一些选定的需求类型（例如，统一和正常分布）和COBB-DOGGLAS成本函数，我们得到了最佳决策的封闭式表达，基于已经开发了一些有用的见解。虽然BCT的高采用导致更高的需求和更低的订单成本，但已经设计了一些反向直观的例子，以揭示采用程度的增加可能降低最佳订单数量，即使存在更高的BCT也并不总是有利可图没有收养成本。最后，一系列数值研究将我们的分析结果与丰富和有用的见解补充。

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