博客

ITC Infotech致力于优化复杂资产密集型行业的库存管理。通过结合仿真、机器学习和优化，展示了针对可循环/可修复备件的有效资产管理和库存优化，从而平衡服务水平和库存成本。

消耗品在其使用寿命结束时被处理或回收，与它们在失效前的运行时间长短有关。这个时间通常被量化为故障前的平均时间- MTBF。对于可修复零件，还需要考虑修复时间，这取决于缺陷类型、工作中心可用性和维修部分可用性。

AnyLogic 8.6更新的关键部分与物料处理库有关。现在，诸如AGV之类的运输工具的移动可以受到区域的限制，并且可以有条件地允许进入：通过运输车数量，计划，吞吐量等等。对于制造和仓库设置，可以以多种方式应用此功能，包括对门进行建模，限制操作机械（例如起重机）时的限制，以及避免在装货区域或交叉路口造成拥挤。

通过此网络研讨会视频回放以及随附的仿真模型，学习如何创建自配置物料搬运数字孪生。此次网络研讨会由本杰明·舒曼（Benjamin Schumann）博士分三部分进行介绍，涵盖了如何自动配置机器和产品、输送机和自动导引车（AGV）。

想象一下您接到了马云的电话——

商业咨询公司NFP的AnyLogic专家致力于解决一家大型国际冶金公司的起重机任务分配问题。

他们采用了机器学习的创新解决方案，并改进了专家选择的策略。继续阅读以了解有关该项目的更多信息。

在Engineering Ingegneria Informatica (EII)， 我们看到了将仿真与机器学习相集成的巨大潜力。这个简短的博客介绍了一个工业问题及其强化学习解决方案，由EII使用AnyLogic开发制作。AnyLogic的灵活性和可定制性使我们可以使用Skymind的外部深度强化学习包RL4J创建混合平台。

继续阅读，找出问题所在，并了解如何使智能体与AnyLogic环境进行交互，从而实现对智能体的训练。您还将学习如何以适合机器学习的方式解决工业问题。

How much will profit increase without this bottleneck? Or how about – If we invest in debottlenecking the whole production line, can we meet our targets? Simple questions and a common approach, but the answers may not be what you expect if you were to ask Dr. Alan Barnard, CEO Goldratt Research Labs.

Read on and find out why...

Digital twins are part of Industry 4.0. How are they being used on automobile production lines? Here we investigate how a digital twin is made and used in the automotive industry.

One of the world’s largest capital goods companies, CNHi, wanted to evaluate Industry 4.0 technologies. It chose its IVECO production plant in Suzzara, Italy. Fair Dynamics were contracted and proposed a digital twin. Read on and discover how maintenance costs can be reduced with a digital twin — Production line downtime was shown in a study of over 100 automotive executives to cost an average of $22,000 per minute.

Industry 4.0 was the subject of Yuri Toluyev’s plenary presentation at the IMMOD simulation modeling conference in Saint Petersburg. He described how new approaches to enterprise development, united by the concept of Industry 4.0, are driving technological development.

AnyLogic attended the event and interviewed Toluyev about Industry 4.0, its development, and its implementation. Interesting and informative, read on for Yuri Toluyev’s Industry 4.0 insight...

Bringing the Airbus A350 to market was not simple. How did Airbus deliver a new design with new materials while keeping down costs?

Read on to see how adaptive management and agile manufacturing delivered success for Airbus...

We are excited to announce Ford Motor Company's recent selection of AnyLogic for their simulation and modeling needs. Ford Motor Company's substantial analytics team was looking for simulation modeling technology that goes above and beyond discrete-event only tools. The analytics team working with AnyLogic will provide decision-making and problem-solving techniques for multiple industries inside Ford, such as manufacturing, finance, and supply chain. AnyLogic is proud to support Ford Motor Company. Check out the press release announced on a variety media outlets.