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将公司的战略和运营活动与企业资源规划系统（如SAP）连接起来会是非常大的成功。在本文中，一家钢铁制造商成功地做到了这一点。

世界领先的汽车制造商使用仿真建模来优化生产线流程、改进调度、创建预测和整合新技术。使用仿真模型有助于他们处于创新的最前沿，避免代价高昂的错误。

以下是五个研究案例，重点介绍了汽车制造商在不同领域应用的AnyLogic多方法仿真建模技术。

蒙特卡罗实验是在处理不确定性时获得精确估计的一种方法。它使用随机性来获得有意义的信息，并有效地计算业务风险和预测失败，如成本或调度超支。

AnyLogic可以对高度复杂的系统进行蒙特卡罗仿真。通过多方法建模，仿真系统可以是复杂的、动态的、非线性的。这些仿真模型的结果可以来自并行处理和云计算，并可以通过多种方式提供，包括通过API和自定义UI。

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。

Our white paper Developing Disruptive Business Strategies with Simulation investigates business strategy analysis, the role of simulation, and how different strategies can be evaluated.

Based on an AnyLogic Conference presentation by PwC, it draws on real-world examples to illustrate the use of simulation modeling in business strategy decision making. The white paper forms part of our series that focuses on the application of simulation modeling in business. Read on...

How McDonald's managed change with the help of HAVI and simulation modeling. A case study with presentation video.

As the largest restaurant chain by revenue and second by number of outlets, McDonald's is a market leader. To maintain its market success, the company pays close attention to customer preferences and regularly updates its menu. Small changes can have many knock-on effects, here we investigate their management.

London, May 25 – Digital twins at work. Simulation modeling experts, from multiple industrial disciplines, joined dseConsulting, HSSMi, and AnyLogic for an insightful event, rich with innovation. Here are the highlights and downloads.

A data hack also gave attendees the chance to use AI and simulation with AnyLogic simulation software.

Simulation modeling is proving invaluable to bringing the latest developments of Industry 4.0 into practical use and the event in London was a great example of this. Read the highlights and download the presentations…

The military aircraft maintenance turnaround process is highly complex and includes multiple interacting and parallel workflows between humans and machines. Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry sought to improve decision-making in regards to the complete turnaround process and to identify process changes that could be implemented to reduce turnaround time. There are two distinct features unique to the project. One being the use of AnyLogic to model people, machines and workstations, and how they interact, which identified previously unknown workflow peculiarities. The second, a portable Android tablet application developed and tested by the team for workflow authoring and data collection that provided the input data to the process simulation model.

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.

Gojii, developed by DecisioTech is an advanced analytics solution powered with an AnyLogic simulation engine. The concept behind Gojii is a management strategy tool that helps firms make good inventory policy decisions in the face of uncertain demand. Traditional forecasting is subject to past decisions, product positioning and current actions, often times producing unrealistic results and lacking opportunity cost calculations. Gojii does not replace any part of the operations tool set, but rather changes the mindset from a forecasting, to an opportunity mindset. The unique tool uses a system simulation model to calculate the cost curve at every point in time and allows comprehension of the feedback relationship between supply decisions and the market response over time.