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AnyLogic Featured in Rail Application Text Book 05.02.2016 Rene Reiter

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)
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Dynamic Risk Assessment and Emergency Planning through Transportation of Dangerous Goods by Rail 04.08.2015 Rene Reiter

Transportation of hazardous materials, notably crude oil by rail are increasing in Canada and the USA. Due to the July 2013 Lac Megantic Train Derailment Disaster and increased concerns raised by municipalities across the country, Canadian Government issued a “protective direction” that requires railway companies to share dangerous goods data with municipalities and first responders. Ali Asgary, Associate Professor, Disaster & Emergency Management at York University in Toronto, Canada is an expert in disaster, emergency, and business continuity management. His extensive research and effective teaching are enhanced by his active contributions to the profession and by translating them into real world practices at different levels. Dr. Asgary selected AnyLogic due to it’s multimethod, agent based and GIS capabilities to analyze and address the situation.
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Increasing Rail Capacity Utilization in Port of Hamburg 14.07.2015 Rene Reiter

Over ninety percent of the world’s trade containerized, and in the Port of Hamburg in Germany over nine million containers are transshipped every year. Till now the early provision of information for both the estimated time of arrival (ETA) of vessels and containers is not established. Containers are offloaded and stored at terminals, and then they are usually sent by ground transportation to their further destinations. This hinterland part of the supply chain can often become a bottleneck because if a deep-sea vessel gets delayed, it can complicate further shipment processes. Furthermore, the terminal has no information about the hinterland mode selected or the time of off-loading a certain container (first or last).
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Simulating Rail Network Operation Challenges with and without the Rail Library 21.05.2015 Rene Reiter

While the extensive rail library was a key reason that CSX chose AnyLogic as its general purpose simulation tool for the Network Modeling, Operations Research, and Process Excellence groups, the other libraries and methods have added significant value as well. In fact, the first major project where AnyLogic was used did not utilize the rail library. After reviewing the problem in more detail, a discrete-event simulation model was built to help managers studying train throughput. The model simulated the demand of empty trains from five coal mines, as well as the fulfillment of the demand. A supply-chain-like network model was created, which implemented logic to depict the demand, supply and staging of empty trains. The trains were modeled as moving entities across the network. By varying values of relevant parameters, users can infer the impacts of different factors to the train throughput (i.e. siding staging capacity and loading speeds at the coal mines). The model provides a way for decision makers to gain insight into the system to help identify the maximum possible throughput. The objective was to identify the best operational/capital strategy to handle the increased business. [...]
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