Although several methods of simulation-based SFC have been suggested for the SFCS, these researches paid only attention to the generation of a target simulation code and could not be fully integrated with the SFCS. Hence, this paper focuses on the conceptual architecture for the rapid and adaptive realization of a simulation-based SFCS for a discrete part manufacturing system. The developed sim...

The problem addressed in this paper is to discover the frequently occurred sequential patterns from databases. Basically, the existing studies on finding sequential patterns can be roughly classified into two main categories. In the first category, the discovered patterns are continuous patterns, where all the elements in the pattern appear in consecutive positions in transactions. The second c...

Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which simulation variables are corrected at every time step of observation. The ensemble Kalman filter is developed for a sequential data assimilation and frequently used in geophysics. On the other hand, the particle filter...

The method of Spectral Analysis proposed by Heidelberger and Welch (SA/HW) is an effective and efficient way of calculating the error of a sample mean in sequential simulation. A simple modification to the method improves the coverage of the resulting estimators in the case of sequential simulation.

Non-simulation techniques for comparison of multisensor probabilistic data association lters are developed and are used to compare tracking performance of sequential and parallel implementations of the algorithm. The non-simulation techniques are shown to accurately predict the average superior performance of the sequential implementation in terms of RMS position error and track lifetime which ...