Robotics & Machine Learning Daily News2024,Issue(Jun.10) :181-184.

Patent Application Titled 'Systems And Methods For Hypothetical Testing Of Supply Chain Optimization' Published Online (USPTO 20240169300)

在线发表的名为“供应链优化假设测试的系统和方法”的专利申请(USPTO 20240169300)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :181-184.

Patent Application Titled 'Systems And Methods For Hypothetical Testing Of Supply Chain Optimization' Published Online (USPTO 20240169300)

在线发表的名为“供应链优化假设测试的系统和方法”的专利申请(USPTO 20240169300)

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摘要

记者们从发明人提供的背景信息中获得了以下引文:“本发明涉及供应链优化的理论测试系统和方法。”正确配置供应链规划系统是一项复杂的任务,也是大多数规划系统不能解决的任务。识别和配置最优供应链需要多元数学模型和近乎无限的潜在设置,尽管如此,供应链通常是手工配置的。供应链规划系统依赖于规划者设置正确的参数,即使没有找到最佳参数会导致无效的计划在网络中传播,而不管软件的有效性如何。

Abstract

Reporters obtained the following quote from the background information supplied by the inventors: “The present invention relates to systems and methods for hypo thetical testing of supply chain optimizations. “Configuring a supply chain planning system correctly is a complex task and one that most planning systems do not address. Identifying and configuring the optim al supply chain requires multivariate mathematical modeling and a near infinity of potential settings, despite this supply chains typically are configured manua lly. Supply chain planning systems rely on Planners to set the right parameters even though failure to find the optimal parameters results in ineffective plans that will propagate across the network, regardless of the effectiveness of the s oftware.

Key words

Artificial Intelligence/Emerging Techno logies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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