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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korea Society for Simulation
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The Korea Society for Simulation
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Volume & Issues
Volume 5, Issue 2 - Dec 1996
Volume 5, Issue 1 - Jun 1996
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The dynamic production scheduling on flexible flowshop systems using simulation
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 1~12
Utilizing the simulation approaches, the dynamic production scheduling system FOLS(Flexible flowshop On-Line Simulation) is developed under the flexible flowshop environment. When an interruption such as machine failure/recovery is occurred at the shop floor, the FOLS system performs evaluations for job selection rule oriented alternatives, and generates a dynamic production schedule based on the collected current shop floor data. For the case study, the FOLS system is applied to the printed circuit card assembly(PCCA) line and simulation results are reported.
Simulation of a CIM Workflow System Using Parallel Virtual Machine (PVM)
Chang-Ouk Kim ;
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 13~24
Workflow is an ordered sequence of interdependent component data activities each of which can be executed on an integrated information system by accessing a remote information system. In our previous research , we proposed a distributed CIM Workflow system which consists of a workflow execution model called DAF-Net and an agent-based information systems called AIMIS. Given a component data activity, there needs an interaction protocol among agents which allocates the component data activity to a relevant information systems exist. The objective of this research is to propose and test two protocols: ARR(Asynchronous Request and Response)protocol and NCL(Negotiation with Case based Learning) protocol. To test the effectiveness of the protocols, we applied the PVM(Parallel Virtual Machine) software to simulate the distributed CIM Workflow system. PVM provides a distributed computing environment in which users can run different software processes in different computers while allowing communication among the processes.
Model Coupling Technique for Level Access in Hierarchical Simulation Models and Its Applications
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 25~40
Modeling of systems for intensive knowledge-based processing requires a modeling methodology that makes efficient access to the information in huge data base models. The proposed level access mothodology is a modeling approach applicable to systems where data is stored in a hierarchical and modular modules of active memory cells(processor/memory pairs). It significantly reduces the effort required to create discrete event simulation models constructed in hierarchical, modular fashion for above application. Level access mothodology achieves parallel access to models within the modular, hierarchical modules(clusters) by broadcasting the desired operations(e.g. querying information, storing data and so on) to all the cells below a certain desired hierarchical level. Level access methodology exploits the capabilities of object-oriented programming to provide a flexible communication paradigm that combines port-to-port coupling with name-directed massaging. Several examples are given to illustrate the utility of the methodology.
Design and Implementation of the DEVS-based Distributed Simulation Environment: D-DEVSim++
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 41~58
The Discrete Event Systems Specification(DEVS) formalism specifies a discrete event system in a hierarchical, modular form. This paper presents a distributed simulation environment D-DEVSim++ for models specified by the DEVS formalism. D-DEVSim++ employs a new simulation scheme which is a hybrid algorithm of the hierarchical simulation and Time Warp mechanisms. The scheme can utilize both the hierarchical scheduling parallelism and the inherent parallelism of DEVS models. This hierarchical scheduling parallelism is investigated through analysis. Performance of the proposed methodology is evaluated through benchmark simulation on a 5-dimensional hypercube parallel machine. The performance results indicate that the methodology can achieve significant speedup. Also, it is shown that the analyzed speedup for the hierarchical scheduling time corresponds the experiment.
A Study on the Improvement of the Batch-means Method in Simulation Analysis
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 59~72
The purpose of this study is to make an improvement to the batch-means method, which is a procedure to construct a confidence interval(c.i.) for the steady-state process mean of a stationary simulation output process. In the batch-means method, the data in the output process are grouped into batches. The sequence of means of the data included in individual batches is called a batch-menas process and can be treated as an independently and identically distributed set of variables if each batch includes sufficiently large number of observations. The traditional batch-means method, therefore, uses a batch size as large as possible in order to. destroy the autocovariance remaining in the batch-means process. The c.i. prodedure developed and empirically tested in this study uses a small batch size which can be well fitted by a simple ARMA model, and then utilizes the dependence structure in the fitted model to correct for bias in the variance estimator of the sample mean.
Accurate Logic Simulation Using Partitioning
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 73~84
As circuits are larger and more complicated, logic simulation is playing a very important role in design verification. A good simulator should be fast and accurate, but unknown values in 3 value simulator may generate X-propagation problem which makes inaccurate output values. In this paper, a new partitioning method is devised to deal with X-propagation problem efficiently and an efficient algorithm is developed which is able to optimize time and accuracy by controlling partition depths. The results prove the effectiveness of the new simulation algorithm using some benchmark circuits.
Reverse-Simulation Method for Single Run Simulation Optimization
Journal of the Korea Society for Simulation, volume 5, issue 2, 1996, Pages 85~93
Simulation is commonly used to find the best values of decision variables for problems which defy analytical solutions. This objective is similar to that of optimization problems and thus, mathematical programming techniques may be applied to simulation. However, the application of mathematical programming techniques, e.g., the gradient methods, to simulation is compounded by the random nature of simulation responses and by the complexity of the statistical issues involved. In this paper, therefore, we explain the Reverse-Simulation method to optimize a simulation model in a single simulation run. First, we point the problem of the previous Reverse-Simulation method. Secondly, we propose the new algorithm to solve the previous method and show the efficiency of the proposed algorithm.