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We at the AnyLogic Support Team very often get asked by the users: what to do if I can not reproduce model results? That is why I decided to share the list of the most common sources of randomness in the model. So, if you run the model with the Fixed seed of random number generator, but the results are not reproducible, please check your model according to the list below. For all experiments:

During the webinar, we will build a logistics model and show the unique capabilities of AnyLogic 7.2. The model will include mining, rail, and sea transportation. We will use agent-based modeling technology; the agents will be created and parameterized directly from the built-in AnyLogic database. o demonstrate AnyLogic’s extensibility, the webinar will focus on these key new features:

Join us for an AnyLogic Workshop Wednesday morning, November 4th from 9:00 am- 11:00 am. Get the latest tips and tricks on our most advanced software and newest versions, straight from the source! The workshop will be conducted by Dr. Andrei Borshchev, CEO, Nikolay Churkov, Head of Development and a special guest instructor. Space is limited, register now!

Check out the latest blog post from my colleague and friend, Ben Schumann a senior modeler at decisionLab with a Ph.D. in Complex Systems Simulation. Moreover, as you know, Ben is a significantly experienced AnyLogic User, who works with diverse clients such as the MoD, Rolls-Royce or GSK. He handles project delivery from start to end, managing team members, and client communication. Dr. Schumann’s post asks a crucial question, “Are you testing your models?” If the answer is yes, he provides advice for better more efficient testing, and if not, let Ben share some advice on how. Go beyond traditional testing methods (i.e. visual, “traceIn” statements, analyze output data, apply dedicated unit testing) and create a structured, repeatable approach, or dedicated function. What Ben calls “The Magic Ingredient.” Find out about “The Magic Ingredient” and other ways to create personalized unit testing through Ben Schumann’s web page and the AnyLogic LinkedIn Users forum.

At the beginning of 2015 we were proud to release a free version of the software called PLE, or Personal Learning Edition meant for learning, teaching, and self-study. Since the release, we have been extremely impressed with not only the increase in the number of users but the complex projects produced with the free version. Our latest discovery is from Mihir Paithane, a student in the STEM (Science, Technology, Engineering, and Math) Program at Mills E. Godwin High School in Richmond, Va. Mihir built a model to analyze the “Effect of Cellular Interactions on Cancer Cell Growth Using Evolutionary Game Theory.” In this experiment, game theory was used to assess the interactions between three cell phenotypes usually found in cancer. The three defined cells were autonomous growth cells, invasive and motile malignant cells, and cells that performed anaerobic glycolysis. Based on preset variables in the payoff matrix, analytical equations were deduced that allowed for the analysis of the proportion of autonomous growth and malignant cells in a tumor. AnyLogic was also used to simulate the interactions between cancerous and healthy cells.

The largest public mental health facility in the United States is not a hospital; it is the Los Angeles County Jail. A Severely and Persistently Mentally Ill (SPMI) patient generally defines someone with a diagnosis of Schizophrenia, Bipolar Disorder, or Major Depressive Disorder, and this group constitutes about 1.7% of the US population. To better understand the condition and possible improvements, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model the SPMI living situations over the second half of the 20th century. Kyle Johnson, Managing Consultant with IBM Global Business Services presented this project at the 2014 AnyLogic Conference. He works within the Advanced Analytics and Optimization branch of IBM BAO.

Academic attendees use promo code HALF15

The fourth annual AnyLogic Conference will continue to prove the power of collaboration, not only with the AnyLogic team, but other experienced model developers. Don't miss the opportunity to see how AnyLogic is being applied across multiple industries, experience innovative ideas and expand your vision of AnyLogic software. For your convenience, the two day event falls directly after the INFORMS Annual Meeting. INFORMS attendees should plan to stay...

The AnyLogic 7 Training course is fast-paced, full of content and worth every second of face-to-face instruction and networking. The course spans from model theory discussion and hands-on exercises, to Java code writing and building your own simulation models. What our attendees are saying: “AnyLogic 7 training was very informative and the intensive format was conducive to gaining knowledge rapidly, with no outside distractions from other work related activities.” “Training was really interesting and open your mind to possibilities.” “Most valuable aspect of the training is the instructor's assistance and guidance outside of the regular lecture and hands on activities. Networking with the other students, as well.”

This short tutorial shows how to build a simulation model based on a real-world problem description, using an example of a simple warehouse unloading process model. Also, it teaches to set animation and choose what-if scenarios to test. The AnyLogic User Support Team created the tutorial. The model simulates the arrival of trucks with two types of cartons to a warehouse. Workers unload the cartons, which then move on conveyors to the pallet stacking zone. After palletizing, the goods are moved by forklift trucks to the storage zone. Download the tutorial and accompanying material via our website.

Ben Schumann is a senior modeler at decisionLab, a company in the UK which designs and builds custom models and decision-support tools that help their clients to make evidence-based strategic, tactical and operational decisions. Ben, a significantly experienced AnyLogic user, works with diverse clients such as the MoD, Rolls-Royce or GSK. He handles project delivery from start to end, managing team members, and client communication. Ben Schumann holds a Ph.D. in Complex Systems Simulation and developed an advanced aerospace design simulation model for the early design phase. It was applied for designing several real unmanned aircraft (the first 3D-printed aircraft on the planet, see New Scientist: http://bit.ly/1D3UDSK). Ben enjoyed a thorough training in simulation modelling thanks to his Grad School on Complex Systems Simulation.