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Q&A: Hybrid Dynamic Models in COVID-19 Planning and Beyond


Q&A: Hybrid Dynamic Models in COVID-19 Planning and Beyond

The webinar Hybrid Dynamic Models in COVID-19 Planning and Beyond drew in a record number of attendees and prompted some great questions around the theme of simulation modeling and healthcare planning.

Dr. Nathaniel Osgood, a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan, provided great insight into simulation modeling related to healthcare. Read on for the webinar details, recording, and Dr. Nathaniel Osgood’s Q&A answers.

Analyzing electricity smart grids and markets with simulation


Analyzing electricity smart grids and markets with simulation

Energy markets are changing. They are now open to competition, households regularly generate electricity, and a necessity for more environmentally friendly modes of transport means electric vehicles are placing new demands on electricity grids. While these changes take place, electricity delivery must remain stable and affordable.

Sjors Hijgenaar proposes a radical response to these developments — decentralized smart grids and direct local trade. As part of his analysis, he develops an agent-based simulation of a Dutch neighborhood that uses a smart grid and local trade to show the benefits for efficiency and reliability. How can this work?

Crowd safety at Hajj – Simulation modeling


Crowd safety at Hajj – Simulation modeling

Emergency evacuation planning for mass gatherings is essential public safety and security work for authorities and can help save lives. Imran Mahmood and Muhammad Haris of the National University of Sciences and Technology, Pakistan, and Hessam Sarjoughian of Arizona State University, USA, have used an AnyLogic based crowd simulation and analysis framework to analyze emergency evacuation strategies for one of the world’s greatest mass gatherings: Hajj.

Free Online MIT Course for Supply Chain Management with AnyLogic


Free Online MIT Course for Supply Chain Management with AnyLogic

The MITx MicroMasters in Supply Chain Management is part of MIT’s #1 ranked Supply Chain Management Program. The online course gives learners the opportunity to apply to institutions around the world and pursue a full Master’s degree.

Students learn end to end supply chain management with hands-on experience and case studies drawn from real supply chains. The supply chain analysis and optimization element harnesses the power of AnyLogic. Read on for more about this course and the exciting career opportunities...

AnyLogic Featured in Rail Application Text Book


AnyLogic Featured in Rail Application Text Book

The Handbook of Operations Research Applications at Railroads (International Series in Operations Research & Management Science) is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads. It explores how decisions are made at railroads, contains examples of the mathematical programming formulations to the complex problems, and provides insights into real-world applications. AnyLogic is featured in two chapters: Simulation of Line of Road Operations and Terminal Simulation written by Roger Baugher, who has worked to apply Operations Research tools to railroads for over 40 years as both a railroad employee and consultant (B. Patty, Preface). Roger was instrumental in the development of Algorithmic Blocking and Classification (ABC) while at Norfolk Southern, was the first recipient of the Railroad Applications Special Interest Group (RASIG) Award for his contributions to OR in the railroad industry and is a Franz Edelman Laureate. In addition to Norfolk Southern, Roger Baugher applied his understanding of network optimization approaches to various forms of the transportation organizations, such as BNSF, American Airlines, Pacer Stacktrain, Conrail where he played an integral part in developing the Conrail Network Analysis Model (CNAM)

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!

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