Anylogic Professional 8.9.1 Page

While 8.9.1 is the current stable release, The AnyLogic Company has hinted at version 8.10, which is expected to include:

The Material Handling Library (MHL), introduced in 8.9, revolutionized warehouse simulation by introducing "Free Space" navigation for autonomous mobile robots (AMRs). Version 8.9.1 addresses collision avoidance edge-cases. Specifically, the AGV (Automated Guided Vehicle) movement logic has been refined to prevent deadlocks in high-density storage retrieval systems. For professionals modeling intralogistics, this reduces model runtime errors by approximately 15%.

Abstract
AnyLogic Professional 8.9.1 represents a significant advancement in commercial simulation software, offering an integrated environment for system dynamics, discrete event, and agent-based modeling. This paper reviews its core architecture, key features introduced or refined in version 8.9.1, performance benchmarks, and practical applications across logistics, healthcare, and manufacturing. We highlight the software’s unique value proposition: enabling modelers to combine multiple abstraction levels within a single simulation. AnyLogic Professional 8.9.1

No software is perfect. The AnyLogic community forum (anylogic.com/forum) has noted a few quirks in 8.9.1:

If you are currently on 8.8.x or an earlier 8.9 build, here is the business case for upgrading: While 8

Despite its strengths, AnyLogic Professional 8.9.1 has known drawbacks:

AnyLogic Professional 8.9.1 is a mature, high-performance simulation environment suited for complex, multi-scale systems. The incremental updates in version 8.9.1—especially database speed, memory efficiency, and cloud publishing—address real user pain points. For organizations that need to model everything from pedestrian flow to global supply chains within a single framework, AnyLogic has no direct equivalent. However, the steep price and learning curve suggest it is best targeted at dedicated simulation teams in large enterprises or research institutions. Pandas for result analysis)

Future directions for AnyLogic should include a web-based lightweight editor, better integration with Python data science libraries (e.g., Pandas for result analysis), and reduced license fees for academic startups.