Search for dissertations about: "discrete event simulation"
Showing result 11 - 15 of 79 swedish dissertations containing the words discrete event simulation.
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11. Discrete-Event Simulation, Operations Analysis, and Manufacturing System Development: Towards Structure and Integration
Abstract : After more than four decades of presence in the manufacturing industry, discrete event simulation has established itself as a powerful technology for a wide range of strategic, tactical, and operational applications in production, logistics, and supply chain management. Discrete event simulation software packages - although not entirely adequate - are relatively capable, and methodologies for performing simulation projects are reasonably well-developed and documented. READ MORE
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12. Methods for Input Data Management - Reducing the Time-Consumption in Discrete Event Simulation
Abstract : .... READ MORE
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13. On Virtual Development of Manufacturing Systems -Proposal for a Modular Discrete Event Simulation Methodology
Abstract : This thesis formulates one approach on how to reuse and take advantage of knowledge and data for discrete event simulation of manufacturing systems. The approach uses modularity and division of knowledge in order to present a methodology for modular discrete event simulation. READ MORE
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14. Towards Model-Based Development of Self-Managing Automotive Systems : Modeling, Simulation, Model Transformations and Algorithms: Supporting the Development of the DySCAS Middleware
Abstract : With the increased usage of electronics, embedded computer systems, software and networks in modern vehicles, the complexity is also increasing in terms of the development process, functionalities as well as their implementation. On one hand there is a need for efficient and systematic development, and on the other hand the systems are required to have enhanced post-deployment time configuration management support. READ MORE
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15. Parallelism in Event-Based Computations with Applications in Biology
Abstract : Event-based models find frequent usage in fields such as computational physics and biology as they may contain both continuous and discrete state variables and may incorporate both deterministic and stochastic state transitions. If the state transitions are stochastic, computer-generated random numbers are used to obtain the model solution. READ MORE