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GE Manufacturing Plant Uses AnyLogic for Real Time Decision Support


GE Manufacturing Plant Uses AnyLogic for Real Time Decision Support

“This is how GE does ‘startups’ – putting our researchers, manufacturing talent and commercial teams to work to create technology that serves customer needs around the world,” Immelt (CEO) said. “GE Energy Storage was born in New York’s Capital Region from an idea that we turned into an advanced manufacturing plant and a global business that we expect will generate more than $1 billion in revenue annually in just a few years.” (www.ecomagination.com, 2012) In 2012, GE opened a new battery manufacturing plant in conjunction with the launch of an innovative energy storage business. The new Durathon battery products, which are half the size of conventional lead acid batteries, but last ten times longer, are the result of GE’s $100 million initial investment in battery technology developed at GE’s Global Research Center (geenergystorage.com, 2014). Expanding the facility doubled production, added 100 new jobs, and brought the total factory workforce to 450 when at full capacity (geenergystorage.com, 2014).

AnyLogic 7.1 Demo Featuring GIS


AnyLogic 7.1 Demo Featuring GIS

Tom Baggio, Sr. Solutions Architect at AnyLogic North America guides you through model building demonstrations that showcase some of our newest features, including the innovative GIS capabilities. The implementation of GIS gives you access to all data stored along with online-based map providers (i.e. Open Street Map): cities, regions, road networks, objects (hospitals, schools, bus stops, etc.). Video demonstration segments include building a route between two cities with trucks moving along the map, looking for a destination based on the shortest route, regional perspective of GIS capabilities, a supply chain demo, and an overview of general user improvements.

Find Optimal Product Sampling Using Agent-Based Modeling


Find Optimal Product Sampling Using Agent-Based Modeling

Before launching a new drug, a pharmaceutical company should decide the optimal promotional mix for both patient and doctors, and the optimal sampling level, high enough to induce therapy without cannibalizing paid prescriptions. Using AnyLogic Simulation Modeling, JP Tsang, Ph.D. & MBA, addresses the complexities of launching a new drug in the pharmaceutical industry, the need for a Contract Sales Organization (CSO) and the influence of Key Opinion Leaders (KOL). The project zeroed in on the medical group practice in order to better understand the dynamics between physician and patient, and between physician and medical representatives. The Agent Based Model (ABM) allows you to understand local behavior, identify bottlenecks regarding certain output variables and better grasp the big picture.

AnyLogic Conference 2014: Video Presentations


AnyLogic Conference 2014: Video Presentations

On November 12th and 13th, 2014, AnyLogic supporters gathered in San Francisco, CA for the annual AnyLogic Conference, a two-day event geared toward innovative projects, business solutions, and networking with experts in the field of simulation modeling. A sincere thank you goes out to the AnyLogic Community that has proven once again to have a passion and forward thinking motivation to solve various complex challenges all over the globe with AnyLogic software. The goal of the AnyLogic Conference program is to provide attendees with a wide variety of industry presentations which encourage a cooperative and educational environment. The 2014 presentations are available now on AnyLogic's YouTube Channel, and include the presenter's slide deck for ease of viewing. Enjoy the presentations and make sure to join us next year for the AnyLogic Conference 2015, November 4th and 5th in Philadelphia, Pennsylvania immediately following INFORMS Annual Meeting.

Customer-Centric Transportation Network Modeling


Customer-Centric Transportation Network Modeling

The sphere of public transportation services in Australia is undergoing a transformation in response to a number of drivers, such as a need for inter-modal integration and widespread introduction of consumer information technologies. However, in order to better address new challenges associated with these changes one must first develop an understanding of the dynamic relationships between the way public transportation system operates and the many ways in which people use it to achieve desired mobility. The public transportation company employed PwC to develop a solution for better decision-making and problem-solving. A model was built using AnyLogic 7 as a platform to unify and animate various static data into a dynamic system of interactions. The model is based on three sources of information: network structure provided in GIS format, service timetable in tabular form and ticket sales information gathered from a variety of systems.

Predictive Analysis in a Risk-Free Environment


Predictive Analysis in a Risk-Free Environment

From warehousing decisions and transportation planning, to minimizing expenses and maximizing service level, optimizing a supply chain and logistics network is a complex and multi-faceted exercise. In addition to the day-to-day challenges, prepare your organization for the unexpected; a port shutdown, trade policy changes or natural disasters. These and other unexpected events can have a devastating impact on your organization. Mitigating the impact of external factors by ensuring alternative mission-critical capability will help prepare your business to overcome such adversity. Compared to traditional methods, utilizing simulation modeling for crisis management, business continuity, cyber attacks, disaster recovery, reorganization and other “what-if” scenarios is a low-cost, relatively quick, easy-to-run solution. Simulation modeling allows you to visualize these key factors and engage decision makers to ensure your plan is as effective as possible, and that you are prepared for whatever you encounter.

Published Paper Program: 50% Discount


Published Paper Program: 50% Discount

Reminder: AnyLogic North America Published Paper Program AnyLogic's Published Paper Program rewards Universities for using the simulation modeling software for their research projects. Your department will receive 50% off the next year's maintenance for submitting a published paper to AnyLogic North America. Plus we'll share your work with the AnyLogic simulation modeling community. Rules and restrictions apply to safeguard the integrity of the program and your hard work. You can find details, submission instructions and restrictions on the AnyLogic Academic Partnership page. We are eager to read about the complex problems you are solving using AnyLogic software. By ensuring your maintenance with AnyLogic is up to date, you are guaranteed technical support and all version upgrades, and as you know, AnyLogic is constantly improving and enhancing the already superior software, so take advantage of the Published Paper Program today!

Agent-Based Model for the Secondary Threat Resulting from a Ballistic Impact Event


Agent-Based Model for the Secondary Threat Resulting from a Ballistic Impact Event

The process by which a high-velocity impact event leads to fire ignition onboard military vehicles is complex, influenced by the interaction of heated debris fragments and fuel spurting from ruptured tanks. Matthew J. Bova of the University of Cincinnati, Frank W. Ciarallo of Wright State University, and Raymond R. Hill of the Airforce Institute of Technology completed a proof-of-concept project involving the secondary threat resulting from a ballistic impact event using agent-based modeling in AnyLogic. Developing a complete characterization of the secondary threat resulting from a high-velocity projectile impact on the exterior of an aircraft body is of particular concern to the aircraft survivability community. Such ballistic impacts typically result in penetration of the body, generating clouds of debris fragments and releasing large quantities of thermal energy.

AnyLogic 7 in Three Days: Paperback Edition Available


AnyLogic 7 in Three Days: Paperback Edition Available

AnyLogic 7 in Three Days, the first practical textbook on AnyLogic 7 from AnyLogic developers, is now available in paperback through Amazon.com. The book is written by Ilya Grigoryev, Head of Training at AnyLogic and the author of AnyLogic documentation and AnyLogic training courses. Consider this your first step to learning AnyLogic software. The book is structured around three examples: a consumer market model, an epidemiology model and an airport model. Some theory behind all three modeling methods is also provided, but if you are looking for a deeper dive into the methodologies, check out The Big Book of Simulation Modeling by Andrei Borshchev, The AnyLogic Company CEO. You'll find AnyLogic 7 in Three Days to be the perfect accompaniment to the FREE Personal Learning Edition (PLE) of AnyLogic software. Whether you are a commercial user, student, or professor teaching AnyLogic in the classroom, let this be your guide.

Simulation Modeling Based on Routine Healthcare Data


Simulation Modeling Based on Routine Healthcare Data

Decisions made by health care professionals require tools for planning, testing and assessment of new technologies or interventions. The complex structures, interactions and processes involved in health care, make change and innovation an ongoing challenge. Patrick Einzinger and Christoph Urach from DWH Simulation Services and Vienna University of Technology in partnership with the Austrian Association of Social Insurances (AASI) were given an opportunity to analyze public data for the purpose of critical future decision making. The AASI assembled routine care data upon reimbursement of heath care providers, which includes drugs prescribed, services rendered and diagnosis. Typical statistics and mathematical modeling were considered as a tool to analyze the data, but simulation was chosen to ensure the mass amount of data could be fully utilized, thus increasing the accuracy of the analysis and results.