Conference Paper

Taylor II manufacturing simulation software

F&H Simulations Inc., Orem, UT, USA
DOI: 10.1109/WSC.1994.717245 Conference: Simulation Conference Proceedings, 1994. Winter
Source: IEEE Xplore


Taylor II is a menu-driven simulation package mainly used in manufacturing and logistics. It is developed for the analysis and quantitative evaluation of complex processes especially of those with a dynamic character. A lot of applications in different industries show that there is an increasing need for simulation tools. The paper demonstrates the process of building, analyzing and presenting models of real world systems with Taylor II.

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    • "support for run-time animation of the modeled system (e.g. Taylor II (King, 1996), ProModel (Benson, 1996), Arena (Markovitch and Profozich, 1996), and Extend (Krahl, 1996)). Such systems can display, in a 2-D and even a 3-D visual representation of the physical model, providing a run-time display of what is happening during a simulation. "
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    ABSTRACT: Simulations are designed to emulate a system or process within a certain set of specified assumptions. Such simulations can then be used as experimental platforms for exploring a system's or process's behavior under a variety of circumstances. Experiments are conducted by systematically varying the inputs to the simulation model, collecting the model outputs, analyzing the resulting data, and using the insights gained from the analysis to formulate new experiments and/or to answer questions concerning expected behavior of the system or process under study. As models become increasingly complex, in order to learn the most from the least number of runs, exploration of these models' behavior must be systematic and focused. Careful planning and experimental design must be done in order to efficiently and effectively use large, complex models to answer key questions. The Experimental Design and Analysis Simulation Interface supports this process for large, complex, deterministic models. 1
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    Conference Paper: Software for simulation
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    ABSTRACT: Not Available
    Preview · Conference Paper · Jan 1994
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    ABSTRACT: The linear move and exchange move optimization (LEG) is an algorithm based on a simulated annealing algorithm (SA), a relatively recent algorithm for solving hard combinatorial optimization problems. The LEO algorithm was successfully applied to a facility layout problem, a scheduling problem and a line balancing problem. We try to apply the LEO algorithm to the problem of optimizing a manufacturing simulation model, based on a steelworks plant. This paper also demonstrates the effectiveness and versatility of this algorithm. We compare the search effort of this algorithm with a genetic algorithm (GA) implementation of the same problem
    Full-text · Conference Paper · Feb 1999
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