Developer(s)The AnyLogic Company (formerly XJ Technologies)
Initial release2000 [1]
Stable release
8.8.4 Professional [2] / July 2023 [3]
Written inJava SE
Operating systemWindows, macOS, Linux
Available inEnglish, Portuguese, Russian, German, Chinese, Spanish
TypeSimulation software
LicenseProprietary;
Websitewww.anylogic.com

AnyLogic is a multimethod simulation modeling tool developed by The AnyLogic Company (formerly XJ Technologies).[4] It supports agent-based, discrete event, and system dynamics simulation methodologies.[5] AnyLogic is cross-platform simulation software that works on Windows, macOS and Linux.[5] AnyLogic is used to simulate: markets and competition,[6] healthcare,[7][8] manufacturing,[9] supply chains and logistics,[10][11] retail,[12][13] business processes,[14] social[15] and ecosystem dynamics,[16] defense,[17] project and asset management,[18] pedestrian dynamics[19] and road traffic,[20] IT,[21] and aerospace.[22] It is considered to be among the major players in the simulation industry, especially within the domain of business processes is acknowledged to be a powerful tool.[23][24]

History

In the early 1990s, there was a big interest in the mathematical approach to modeling and simulation of parallel processes. This approach was applied to the analysis of correctness of parallel and distributed programs.[25] The Distributed Computer Network (DCN) research group at Saint Petersburg Polytechnic University developed a software system for the analysis of program correctness; the new tool was named COVERS (Concurrent Verification and Simulation). This system allowed graphical modeling notation to be used for describing system structure and behavior. The tool was developed with the help of a research grant from Hewlett-Packard (Commonly known as HP).

Three business simulation approaches

In 1998, the success of this research inspired the DCN laboratory to organize a company with the mission of developing a new generation of simulation software. Development emphasis was placed on applied methods: simulation, performance analysis, behavior of stochastic systems, optimization and visualization. The resulting software was released in 2000 and featured the latest information technologies: an object-oriented approach, elements of the UML standard, the use of Java, and a modern GUI.[26]

The tool was named AnyLogic, because it supported all three well-known modeling approaches: system dynamics,[15] discrete event simulation,[27] Agent-based modeling.[28] and any combination of these approaches within a single model.[29][30] The first version of AnyLogic was V4,[31] because the numbering continues the numbering of COVERS 3.0.

AnyLogic 5 was released in 2003. The new version was focused on business simulation in different industries.[32] AnyLogic 7 was released in 2014.[33] It featured many updates aimed at simplifying model building, including support for multimethod modeling, a decreased need for coding, renewed libraries, and other usability improvements. AnyLogic 7.1, also released in 2014, included a new GIS implementation: in addition to shapefile-based maps, AnyLogic started to support tile maps from free online providers, including OpenStreetMap.[34]

2015 marked the release of AnyLogiс 7.2 with the built-in database and the Fluid Library.[35] Since 2015, AnyLogic Personal Learning Edition (PLE) is available for free for the purposes of education and self-education. The PLE license is perpetual, but created models are limited in size.[36]

The new Road Traffic Library was introduced in 2016 with AnyLogic 7.3.[37]

AnyLogic 8 was released in 2017. Beginning with Version 8.0, the AnyLogic model development environment was integrated with AnyLogic Cloud, a web service for simulation analytics.[38][1]

The platform for AnyLogic 8 model development environment is Eclipse.[39]

AnyLogic and Java

How simulation approaches correspond to the level of abstraction

AnyLogic includes a graphical modeling language and also allows the user to extend simulation models with Java code.[39] The Java nature of AnyLogic lends itself to custom model extensions via Java coding[40]

AnyLogic Cloud

AnyLogic Cloud is a web service for simulation analytics. It allows users to store, access, run, and share simulation models online, as well as analyze experiment results.

Using AnyLogic model development environment, developers can upload their models to AnyLogic Cloud and set up sharable web dashboards to work with models online. These dashboards can contain configurable input parameters and output data in the form of charts and graphs. Model users can set input data on the dashboard screen, run the model, and analyze the output.

AnyLogic Cloud allows users to run models using web browsers, on desktop computers and mobile devices, with the model being executed on the server side. Multiple run experiments are performed using several nodes. The results of all executed experiments are stored in the database and can be immediately accessed. Models can be run both with and without HTML5-based interactive animation.[41]

Developers can choose whether they want their models to be private or publicly available in the model library, which includes models from other AnyLogic users.

anyLogistix supply chain optimization software

The AnyLogic Company converted its development efforts for the supply chain domain in a separate software tool – anyLogistix. This spin-off product was introduced in 2014 as AnyLogic Logistics Network Manager and was renamed anyLogistix in 2015.

anyLogistix is based on the AnyLogic and CPLEX engines, GIS, and the new industry-oriented GUI. It also includes algorithms and techniques specific for supply chain design and optimization. Like other simulation software such as Arena and SIMUL8, optimization functionality is provided by OptQuest.[42] anyLogistix is fully integrated with AnyLogic, for instance, AnyLogic can be used for customization of objects inside anyLogistix, including warehouses, production sites, suppliers, inventory, sourcing, and transportation policies.

See also

References

  1. 1 2 AnyLogic Timeline the official web-site Archived 2018-02-10 at the Wayback Machine.
  2. ↑ The release news on the official web-site Archived 2023-06-06 at the Wayback Machine.
  3. ↑ The release news on the official web-site Archived 2023-06-06 at the Wayback Machine.
  4. ↑ Evgrafov, Alexander N. (2017-03-23). Advances in Mechanical Engineering: Selected Contributions from the Conference "Modern Engineering: Science and Education", Saint Petersburg, Russia, June 2016. Springer. ISBN 978-3-319-53363-6.
  5. 1 2 Christopher W. Weimer, J. O. Miller, Raymond R. Hill. "Agent-Based Modeling: an Introduction and Primer" Archived 2017-06-15 at the Wayback Machine Proceedings of the 2016 Winter Simulation Conference
  6. ↑ Jingsi Huang, Lingyan Liu, Leyuan Shi. "Auction Policy Analysis: an Agent-Based Simulation Optimization Model of Grain Market" Archived 2017-06-15 at the Wayback Machine Proceedings of the 2016 Winter Simulation Conference
  7. ↑ Anatoli Djanatliev, Reinhard German, Peter Kolominsky-Rabas. "Hybrid Simulation with Loosely Coupled System Dynamics and Agent-based Models for Prospective Health Technology Assessments" Archived 2017-08-12 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  8. ↑ Joe Viana, Stuart Rossiter, Andrew A. Channon, Sally C. Brailsford, Andrew Lotery. "A Multi-Paradigm, Whole System View of Health and Social Care for Age-Related Macular Degeneration" Archived 2017-08-13 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  9. ↑ Thomas Felberbauer, Klaus Altendorfer, Alexander Hübl. "Using a Scalable Simulation Model to Evaluate the Performance of Production System Segmentation in a Combined MRP and Kanban System" Archived 2017-08-08 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  10. ↑ Ilmarts Dukulis, Gints Birzietis, Daina Kanaska. "Optimization Models for Biofuel Logistic System" Archived 2016-03-03 at the Wayback Machine Engineering for Rural Developments, Jelvaga, 29–30 May 2008
  11. ↑ Christian Wartha, Momtchil Peev, Andrei Borshchev, Alexei Filippov. "Decision Support Tool – Supply Chain" Proceedings of the 2002 Winter Simulation Conference
  12. ↑ Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg. "Understanding Retail Productivity by Simulating Management Practices" Archived 2011-07-18 at the Wayback Machine EUROSIM-2007, September 2007
  13. ↑ Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg. "A Multi-Agent Simulation of Retail Management Practices" Archived 2009-12-28 at the Wayback Machine Proceedings of the Summer Computer Simulation Conference 2007 (SCSC 2007)
  14. ↑ Arnold Greenland, David Connors, John L. Guyton, Erica Layne Morrison, Michael Sebastiani. "IRS Post-Filing Processes Simulation Modeling: A Comparison of DES with Econometric Microsimulation in Tax Administration" Archived 2017-08-12 at the Wayback Machine Proceedings of the 2007 Winter Simulation Conference
  15. 1 2 Sergio E. Quijada, Juan F. Arcas, Cristian Renner, Luis Rabelo. "A Spatio Temporal Simulation Model for Evaluating Delinquency and Crime Policies" Archived 2020-01-28 at the Wayback Machine Proceedings of the 2005 Winter Simulation Conference
  16. ↑ Datu Buyung Agusdinata. "Agent-Based Simulation of The Diffusion Dynamics and Concentration of Toxic Materials from Quantum Dots-Based Nanoparticles" Archived 2016-07-11 at the Wayback Machine Proceedings of the 2015 Winter Simulation Conference
  17. ↑ Kyuhyeon Shin, Hochang Nam, Taesik Lee. "Communication Modeling for a Combat Simulation in a Network Centric Warfare Environment" Archived 2020-01-28 at the Wayback Machine Proceedings of the 2013 Winter Simulation Conference
  18. ↑ Benny Tjahjono, Evandro Leonardo Silva Teixeira, Sadek Crisóstomo Absi Alfaro. "An Online Simulation to Link Asset Condition Monitoring and Operations Decisions in Through-Life Engineering Services" Archived 2015-03-16 at the Wayback Machine Proceedings of the 2013 Winter Simulation Conference
  19. ↑ Khaled Nassar, Ahmed Bayyoumi. "A Simulation Study of The Effect of Mosque Design on Egress Times" Archived 2017-08-13 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  20. ↑ Xiaobing Li, Asad J. Khattak, Airton G. Kohls. "Signal Phase Timing Impact on Traffic Delay and Queue Length-A Intersection Case Study" Archived 2017-12-15 at the Wayback Machine Proceedings of the 2016 Winter Simulation Conference
  21. ↑ Bojan Spasic, Bhakti S. S. Onggo. "Agent-Based Simulation of The Software Development Process: A Case Study at AVL" Archived 2017-08-13 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  22. ↑ Benjamin Schumann, James Scanlan, Hans Fangohr. "Complex Agent Interactions in Operational Simulations for Aerospace Design" Archived 2017-08-12 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  23. ↑ "Simulators Global Market Report 2023". ReportLinker. Retrieved 28 August 2023.
  24. ↑ "Business Process Simulation Software". www.anylogic.com. Retrieved 28 August 2023.
  25. ↑ Rodd, M. G.; Knuth, E. (2014-07-04). Distributed Databases in Real-Time Control. Elsevier. ISBN 978-1-4832-9836-8.
  26. ↑ Albert Molderink, Maurice G.C. Bosman, Vincent Bakker, Johann L. Hurink, Gerard J.M. Smit. "Simulating the Effect on the Energy Efficiency of Smart Grid Technologies" Archived 2015-11-06 at the Wayback Machine Proceedings of the 2009 Winter Simulation Conference
  27. ↑ Sudhanshu S Singh, Rakesh R Pimplikar, Ritwik Chaudhuri, Gyana Parija. "Outplacement Time and Probability Estimation Using Discrete Event Simulation" Archived 2017-06-15 at the Wayback Machine Proceedings of the 2016 Winter Simulation Conference
  28. ↑ Cynthia Nikolai, Gregory Madey. "Tools of the Trade: A Survey of Various Agent Based Modeling Platforms" Archived 2011-06-05 at the Wayback Machine, Journal of Artificial Societies and Social Simulation vol. 12, no. 2 2, 31 March 2009
  29. ↑ Andrei Borshchev, Alexei Filippov. "From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools" Archived 2011-06-08 at the Wayback Machine, The 22nd International Conference of the System Dynamics Society, July 25–29, 2004, Oxford, England
  30. ↑ Peter Bazan, Reinhard German. "Hybrid Simulation of Renewable Energy Generation and Storage Grids" Archived 2017-08-12 at the Wayback Machine Proceedings of the 2012 Winter Simulation Conference
  31. ↑ Andrei Borshchev. "AnyLogic 4.0: Simulating Hybrid Systems with Extended UML-RT" Archived 2018-02-10 at the Wayback Machine, Simulation News Europe - EUROSIM 2001
  32. ↑ Zlatanovska, Biljana; Stojkovic, Natasha; Kocaleva, Mirjana; Stojanova, Aleksandra; Lazarova, Limonka; Gobubovski, R. (2018-05-01). "Modeling of some chaotic systems with anylogic software". TEM Journal. 7: 465–470. doi:10.18421/TEM72-31.
  33. ↑ The news on the company’s official website Archived 2018-02-10 at the Wayback Machine.
  34. ↑ The news on the company's website Archived 2018-02-10 at the Wayback Machine
  35. ↑ The news on the company’s official website Archived 2018-02-10 at the Wayback Machine
  36. ↑ The news on the company's website Archived 2018-02-10 at the Wayback Machine
  37. ↑ The news on the company’s official website Archived 2018-02-10 at the Wayback Machine
  38. ↑ Release notes on the developer's official website Archived 2018-02-10 at the Wayback Machine.
  39. 1 2 Bin Li, Wen-feng Li. "Modeling and Simulation of Container Terminal Logistics Systems Using Harvard Architecture and Agent-Based Computing" Archived 2017-08-13 at the Wayback Machine. Proceedings of the 2010 Winter Simulation Conference
  40. ↑ Carol C. Menassa, Feniosky Peña Mora. "Real Options and System Dynamics Approach to Model Value of Implementing A Project Specific Dispute Resolution Process in Construction Projects" Archived 2017-08-11 at the Wayback Machine. Proceedings of the 2009 Winter Simulation Conference
  41. ↑ Borshchev A.V. "Migration of Simulation Modeling to the Cloud" Archived 2018-02-10 at the Wayback Machine. Proceedings of the 2017 IMMOD Conference
  42. ↑ "Creating an Optimization Experiment". AnyLogic Help. AnyLogic. Retrieved 23 August 2020.

Further reading

  • Law, Averill M. (2006). Simulation Modeling and Analysis with Expertfit Software. McGraw-Hill Science. ISBN 978-0-07-329441-4.
  • Banks, Jerry; John Carson; Barry Nelson; David Nicol (2004). Discrete-event system simulation - 4th edition. Prentice Hall. ISBN 978-0-13-144679-3.
  • Sterman, John D. (2000). Business Dynamics: Systems thinking and modeling for a complex world. McGraw Hill. ISBN 0-07-231135-5.
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