ITC Infotech undertook work to optimize inventory keeping in complex asset intensive industries. By combining simulation, machine learning, and optimization, they demonstrated effective asset management and inventory optimization for rotable/repairable spares that balances service levels and inventory costs.
See how Kumar Sumit and his team at ITC Infotech used OptQuest optimization, Python, decision tree machine learning, and AnyLogic for repairables asset management optimization.
Imagine that you need to create a computer program. To do this, you have to hire developers, designers and testers, organize processes, draw up a development plan, constantly evaluate the performance of colleagues, and so on. The task quickly becomes complex. What are your chances of success if you are not a professional?
Here, the downloadable book chapter explores how to use simulation in project management. It gives practical examples from a logistics service provider and a construction company to support its ideas and the demo models from the chapter are open access, so that you can download them, disassemble, and consolidate your knowledge in practice.
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.