Reflections on Two Approaches to Hybrid Simulation in Healthcare Joe Viana, University of Southampton. Winter Simulation Conference, 2014.

Hybrid simulation, the combination of simulation paradigms to address a problem is becoming more popular as the problems we are presented with become more complex. This is evidenced by an increase in the number of hybrid papers published in specific domains and the number of hybrid simulation frameworks being produced across domains.
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Return to Work Behavior of People with Disabilities: A Multi-Method Approach Mariusz Balaban, MYMIC LLC. Winter Simulation Conference, 2014.

This paper discusses the development of a simulation model to mimic a return to work phenomenon of Social Security Disability Insurance (SSDI) enrollees in the United States. Agent Based and Bayesian Network methods are used within a multi-method simulation model to capture system conditions and enrollee behavior.
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Modeling Human Behavior – An (ID)entity Crisis? Sally C. Brailsford, University of Southampton. Winter Simulation Conference, 2014.

Agent-based modeling (ABM) has gained great popularity in recent years, especially in application areas where human behavior is important, because it opens up the possibility of capturing such behavior in great detail. Hybrid models which combine ABM with discrete-event simulation (DES) are particularly appealing in service industry applications.
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Modeling Country-Scale Electricity Demand Profiles M. Pruckner, D Eckhoff, R. German, University of Erlangen-Nuremberg. Winter Simulation Conference, 2014.

All over the world, and in particular in Germany, a trend toward a more sustainable electric energy supply
including energy efficiency and climate protection can be observed. Simulation models can support these
energy transitions by providing beneficial insights for the development of different electricity generation mix
strategies in future electric energy systems.
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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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Towards Closed Loop Modeling: Evaluatng The Prospects for Creating Recurrently Regrounded Aggregate Simulation Models Using Particle Filtering Nathaniel Osgood, Juxin Liu, University of Saskatchewan 106 Wiggins Road, University of Saskatchewan Saskatoon. Winter Simulation Conference, 2014

Public health agencies traditionally rely heavily on epidemiological reporting for notifiable disease control, but increasingly apply simulation models for forecasting and to understand intervention tradeoffs. Unfortunately, such models traditionally lack capacity to easily incorporate information from epidemiological data feeds.
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An Agent-Based Explanation for 20th Century Living Situation Changes in America’s Severely and Persistently Mentally Ill Population Kyle L. Johnson, Dr. Dimitris Alevras, IBM Global Business Services; Dr. John Docherty, Dr. Erin Falconer, Otsuka Medical Affairs. AnyLogic Conference 2014

The largest public mental health facility in the United States is not a hospital; it is the Los Angeles County Jail. This paper describes an agent-based approach to explaining why prisons and jails house so many of America’s most seriously mentally ill. It traces this fact to the differing ways in which various housing situations react to mental illness and to legislation passed in the 1960’s, which allocated public funding away from state mental hospitals.
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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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Simulating A Physical Internet Enabled Mobility Web: The Case Of Mass Distribution In France D. Hakimi, B. Montreuil, and others. 9th International Conference of Modeling, Optimization and Simulation

Physical Internet (PI) is a novel concept aiming to render more economically, environmentally and socially efficient and sustainable the way physical objects are transported, handled, stored, realized, supplied and used throughout the world. It enables, among other webs, the Mobility Web which deals with moving physical objects within an interconnected set of unimodal and multimodal hubs, transits, ports, roads and ways.
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Quantitative analysis of bidding strategies: a hybrid agent based–system dynamics approach Arash MAHDAVI and Makarand HASTAK, Purdue University

Economic slowdown and construction demand shrinkage reduces the profit backlog for construction contractors and bites into their profit margin. The resulting fierce competition for jobs forces construction companies to look for more sophisticated analytical tools to analyze and improve their bidding strategies. For each contractor, bidding strategy is a decision-making process that is driven by the firm’s financial goals with the final objective of maximizing the firm’s gross profit and surpassing the breakeven point. This paper proposes a methodology to model and analyze different bidding strategies with hybrid agent based-system dynamics (ABSD) simulation.
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