Evaluation of Agent-Based and Discrete-Event Simulation for Modeling Construction Earthmoving Operations E. Zankoul, H. Khoury and R. Awwad.

One of the most common operations to any construction project is earthwork. In fact, most, if not all, construction projects begin with earthwork activities. These activities require heavy equipment, are generally quite costly and consume a considerable amount of time.
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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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A Modular Simulation Model For Assessing Interventions For Abdominal Aortic Aneurysms Christoph Urach, Günther Zauner, Gottfried Endel, Ingrid Wilbacher, Felix Breitenecker, Proceedings of the 2013 Winter Simulation Conference

This paper discusses the development of an individual based simulation of interventions for better treatment of patients with abdominal aortic aneurysms (AAA). The interdisciplinary subject required collaboration of medical doctors, Health Technology Assessment (HTA) experts and modelers.
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An integrated pedestrian behavior model based on extended decision field theory and social force model Hui Xi, Young-Jun Son (The University of Arizona); Seungho Lee (Samsung Electronics Co. Ltd.). Proceedings of the 2010 Winter Simulation Conference.

The integrated pedestrian simulation model proposed in this paper allows us to develop a more realistic simulation of pedestrian behaviors at a shopping mall. In particular, consideration of vision of each individual allows us to mimic physical and psychological interactions among the people and the environment more realistically. Similarly, consideration of extended Decision Field Theory allowed us to represent human decision deliberation process. In addition, consideration of a rich set of attributes for the environment as well as people has allowed us to mimic a real shopping mall environment closely. The constructed simulation using AnyLogic software was utilized to conduct several experiments on performance of the mall and scalability of the proposed model.
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A Modern Simulation Approach for Pharmaceutical Portfolio Management Kirk Solo and Mark Paich. International Conference on Health Sciences Simulation (ICHSS'04), January 18 - 21, 2004, San Diego, California, USA

By creating an integrated simulation environment that models the underlying structure of a pharmaceutical enterprise portfolio it becomes possible to identify the optimal longitudinal allocation of finite resources across the constellation of available investment opportunities. The implementation of a hybrid approach that integrates multiple modeling techniques and analytic disciplines allows for a comprehensive environment that captures the underlying dynamics that drive observed market behavior. The implementation of an object oriented model structure constrains the models complexity by supporting dynamic re-use of both structure and logic.
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From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools Andrei Borshchev and Alexei Filippov. The 22nd International Conference of the System Dynamics Society, July 25 - 29, 2004, Oxford, England

This paper may be considered as a practical reference for those who wish to add (now sufficiently matured) Agent Based modeling to their analysis toolkit and may or may not have some System Dynamics or Discrete Event modeling background. We focus on systems that contain large numbers of active objects (people, business units, animals, vehicles, or even things like projects, stocks, products, etc. that have timing, event ordering or other kind of individual behavior associated with them). We compare the three major paradigms in simulation modeling: System Dynamics, Discrete Event and Agent Based Modeling with respect to how they approach such systems. We show in detail how an Agent Based model can be built from an existing System Dynamics or a Discrete Event model and then show how easily it can be further enhanced to capture much more complicated behavior, dependencies and interactions thus providing for deeper insight in the system being modeled.
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Spatial Dynamics of Social Network Evolution Sara Metcalf and Mark Paich. The 23rd International Conference of the System Dynamics Society, July 17 - 21, 2005, Boston, USA

This paper explores the problem of fragmenting social networks enabled by spatial distancing between distinct socioeconomic classes. Such fragmentation is evidenced by the experience of urban sprawl without population growth. We develop a prototype model to examine the spatial dynamics of social network evolution in the face of neighborhood migration. This model draws upon the small world analogy by using an initial template of connections that are “rewired” over time. Spatially, connections are established for neighborhood proximity. Socially, connections are added based upon similarity of economic class.
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Multimethod Simulation Modeing using AnyLogic Andrei Borshchev, INFORMS Roundtable Meeting Fall 2007, Seattle, USA

The presentation shows you how to develop simulation models, choose abstraction level and methodology.
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Hybrid simulation of renewable energy generation and storage grids Peter Bazan, Reinhard German, WSC-2012, Berlin

The share of renewable energy sources in energy production is growing steadily. Domestic homes can be equipped with solar panels, micro combined heat and power systems, batteries, and they can become adaptive consumers. They can also deliver energy to the grid and react to the energy supply. This paper presents a hybrid simulation approach for the analysis of a grid of domestic homes equipped with different technological options with respect to efficiency and costs. For energy storage and energy flows the system dynamics modeling paradigm is used whereas control decisions are modeled as statecharts. The highly intermittent solar irradiation and also the electric power and heat demands are implemented as stochastic models. The component-based design allows for quick creation of new case studies. As examples, different homes with batteries, micro combined heat and power systems, or energy carrier carbazole as energy storage are analyzed
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Fully agent based modellings of epidemic spread using AnyLogic Štefan Emrich, Sergej Suslov, Florian Judex. EUROSIM 2007, September 9-13 2007, Ljubljana, Slovenia.

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