Analysis of The Expansion of The Panama Canal Using Simulation Modeling and Artificial Intelligence L. Rabelo, L. Cruz, S. Bhide, O. Joledo, J. Pastrana, P. Xanthopoulos, University Of Central Florida. Winter Simulation Conference, 2014.

This paper presents preliminary analysis of the Panama Canal Expansion from the viewpoint of salinity in
the Gatun Lake and the utilization of neural networks. This analysis utilized simulation modeling and
artificial intelligence.
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Increasing rail capacity utilization in port of Hamburg by early provision of information for import containers Ralf Elbert, Fabian Walter, Chair of Management and Logistics, Technische Universität Darmstadt. AnyLogic Conference 2014.

Various actors are involved in hinterland transportation of incoming rail containers along the maritime transport chain. To coordinate each actor’s logistics processes, and therefore to improve utilization of existing transport capacity, the early provision of information, e.g. in form of estimated time of arrival (ETA), is inevitable.
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Agent-Based Simulation for Dual Toll Pricing of Hazardous Material Transportation Sojung Kim, Santosh Mungle, Young-Jun Son, Proceedings of the 2013 Winter Simulation Conference

A dual toll pricing is a conceptual policy in which policy maker imposes toll on both hazardous materials (hazmat) vehicles as well as regular vehicles for using populated road segments to mitigate a risk of hazmat transportation. It intends to separate the hazmat traffic flow from the regular traffic flow via controlling the dual toll. In order to design the dual toll pricing policy on a highly realistic road network environment and detailed human behaviors, an extended Belief-Desire-Intention (BDI) framework is employed to mimic human decision behaviors in great detail. The proposed approach is implemented in AnyLogic agent based simulation software with using a traffic data of Albany, NY. Also, search algorithms in OptQuest are used to determine the optimum dual toll pricing policy which results in the minimum risk and travel cost based on the simulation results. The result reveals the effectiveness of the proposed approach in devising a reli-able policy under the realistic road network conditions.
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RoPax/RoRo: Exploring the Use of Simulation as Decision Support System Mariusz Balaban and Tom Mastaglio

Several challenges of port/terminal and/or ferry company managers pertain to decisions for the justification of investments and concurrent operational tasks of roll-on/roll-off passenger (RoPax) and roll-on/roll-off (RoRo) systems. This paper explores the possible uses of Modeling and Simulation (M&S) techniques as a decision-support aid for a RoPax/RoRo system managers.
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Modeling and simulation of container terminal logistics systems using Harvard architecture and agent-based computing Bin Li (Department of Economics and Management); Wen-feng Li (School of Logistics Engineering). Proceedings of the 2010 Winter Simulation Conference.

As the highly complex logistics system, container terminal logistics systems play an increasingly important role in modern international logistics, and therefore their scheduling and decision-making process of much significance to the operation and competitiveness of harbors. In this paper, the handling, stacking and transportation in CTLS are regarded as a kind of generalized computing and compared with the working in general computer systems, whereupon the Harvard architecture and AnyLogic agent-based computing paradigm are fused to model the operational processing of CTLS, and the kernel thoughts in computer organization, architecture and operating system are introduced into CTLS to support and evaluate container terminal planning, scheduling and decision-making.
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Business is a field for experiments. But it’s best to run them on simulation models Timofey Popkov.

Modeling allows you to decrease implementation costs and risks while still in the planning stage. It can also be the best way to optimize existing processes.
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Modelling and Analysing Cargo Screening Processes: a Project Outline Peer-Olaf Siebers, Uwe Aickelin, David Menachof, Galina Sherman, Peter Zimmerman. 2009 INFORMS at University of Warwick, June 25-27, Coventry, U.K.

The efficiency of current cargo screening processes at sea and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that take a holistic view of the screening procedures assessing a combination of sensors and also taking operator variability into account. Just adding up resources and manpower used is not an effective way for assessing systems where human decision-making and operator compliance to rules play a vital role.
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Optimizing Freight Transportation Policies for Sustainability - A Simulation-Based Investigation of Freight Transportation Policy Planning and Supply Chains Christopher Glazner and Sgouris Sgouridis, MIT Sloan School of Management

Regional freight transportation policy planning is a difficult task, as few policy-planners have adequate tools to aid their understanding of how various policy formulations affect this complex, socio-technical system. In this paper, we develop a proof-of-concept model to simulate the impacts of public policies on freight transportation in a simulated region. We use the techniques of multi-disciplinary system design and optimization to analyze the formulation of regional freight transportation policies and examine the relative effects of policies and exogenous forces on the region in order to provide insight into the policy-planning process. Both single objective and multi-objective analysis is performed to provide policy-planners with a clear understanding of the trade-offs made in policy formulation.
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