Partial Paradigm Hiding and Reusability in Hybrid Simulation Modeling Using the Frameworks Health-DS and I7-Anyenergy A. Djanatliev, P. Bazan, R. German, University of Erlangen-Nuremberg. Winter Simulation Conference, 2014.

Many complex real-world problems which are difficult to understand can be solved by discrete or continuous simulation techniques, such as Discrete-Event-Simulation, Agent-Based-Simulation or System Dynamics. In recently published literature, various multilevel and large-scale hybrid simulation examples have been presented that combine different approaches in common environments.
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A Hybrid Simulation Approach to Dynamic Multi-Skilled Workforce Planning of Production Line Yuan Feng, Wenhui Fan, Tsinghua University. Winter Simulation Conference, 2014.

Workers cross-trained with multiple tasks can improve the workforce flexibility for the plant to handle
variations in workload. Therefore, it is necessary to study the dynamic multi-skilled workforce planning
problem of production line with the application of cross-training method.
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Iterative Simulation and Optimization Approach for Job Shop Scheduling Ketki Kulkarni, Jayendran Venkateswaran, Indian Institute of Technology Bombay. Winter Simulation Conference, 2014.

In this paper, we present an iterative scheme integrating simulation with an optimization model, for solving
complex problems, viz., job shop scheduling. The classical job shop scheduling problem which is NP-Hard,
has often been modelled as Mixed-Integer Programming (MIP) model and solved using exact algorithms (for
example, branch-and-bound and branch-and-cut) or using meta-heuristics (for example, Genetic Algorithm,
Particle Swarm Optimization and Simulated Annealing).
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Electric Vehicle Driver Simulation using Agent-Based Modeling Beaudry Kock, Recargo, Inc., 2014

Recargo has been developing an agent-based model with the AnyLogic tool to help us simulate the charging patterns of electric vehicle drivers in California. Our goal is to better understand the potential value from delivering electricity grid services with these vehicles. Development has only been underway for a few weeks, but in that time we’ve been able to use AnyLogic’s accessible interface and Java coding tools to quickly build and test a proof-of-concept model with which we can explore the potential for a more sophisticated and complex effort.
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An Online Simulation To Link Asset Condition Monitoring And Operations Decisions In Through-Life Engineering Services Benny Tjahjono, Evandro Leonardo Silva Teixeira, Sadek Crisóstomo Absi Alfaro, Proceedings of the 2013 Winter Simulation Conference

This paper presents an online simulation framework that can be used to support operational decisions within the context of Through-life Engineering Services. Acting as a closed-loop feedback control mechanism, the simulation model is physically coupled to the assets and will be triggered and automatically executed to assess a set of operational decisions related to maintenance scheduling, resource allocation, spare parts inventory etc. Experimental cases comparing the online simulation against the traditional approach will also be presented. The outcomes have demonstrated the prospects of the framework in enabling more effective/efficient operations of engineering services leading to high assets availability and reduced through-life costs.
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An Agent-Based Multi-Scale Wind Generation Model Enrique Kremers, Norbert Lewald (European Institute for Energy Research); Oscar Barambones, Jose Maria Gonzalez de Durana (Universidad del Pais Vasco). Kremers, E., Lewald, N. IASTED EuroPES 2009, Palma de Mallorca, Spain, September 7 – 9. (2009).

This paper presents an agent-based model for simulating wind power systems on multiple time scales. The aim is to generate a flexible model that allows us to simulate the output of a wind farm. The model is developed using multiparadigm modelling, combining different approaches such as agent-based modelling, discrete events and dynamic systems.
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A Detailed Model For a High-Mix Low-Volume ASIC FAB Mike Gissrau, Oliver Rose. Proceedings of the 2011 Winter Simulation Conference

Looking for new improvement options such as new dispatching rules of an existing semiconductor fabrication facility, a detailed model is indispensable to check the data quality as well as detecting main influences of the facility and finally testing the new optimization approaches.
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A Generic Operational Simulation for Early Design Civil Unmanned Aerial Vehicles Benjamin Schumann, Jim Scanlan (School of Engineering Sciences University of Southampton); Kenji Takeda (Microsoft Research). Proceedings of the SIMUL 2011: The Third International Conference on Advances in System Simulation

Contemporary aerospace programmes often suffer from large cost overruns, delivery delays and inferior product quality. This is caused in part by poor predictive quality of the early design phase processes with regards to the operational environment of a product. This paper develops the idea of a generic operational simulation that can help designers to rigorously analyse and test their early product concepts. The simulation focusses on civil Unmanned Air Vehicle products and missions to keep the scope of work tractable.
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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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The universal simulation tool is based on designs by Russian scientists Timofey Popkov.

Timofey Popkov, Business Development Director of XJ Technologiesdiscusses the specifics of simulation tools development and promotion in Russia and in international markets, as well as prospective trends in applying simulation techniques.
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