Intelligent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment
| Autor: | Thomas K. Keyser, Mohammad Dehghanimohammadabadi |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Decision support system 021103 operations research Supply chain management Interface (Java) business.industry Computer science 0211 other engineering and technologies 02 engineering and technology Simulation integration Manufacturing systems Range (mathematics) 020901 industrial engineering & automation Hardware and Architecture Modeling and Simulation Embedded system Project management business MATLAB Software engineering computer Software computer.programming_language |
| Zdroj: | Simulation Modelling Practice and Theory. 71:45-60 |
| ISSN: | 1569-190X |
| Popis: | Discrete-event simulation is a decision support tool which enables practitioners to model and analyze their own system behavior. Although simulation packages are capable of mimicking most tasks in a real-world system, there are some decision-making activities, which are beyond the reach of simulation packages. The Application Programmers Interface (API) of SIMIO provides a wide range of opportunities for researchers to develop their own logic and apply it during the simulation run. This paper illustrates how to deploy MATLAB, as a computational tool coupled with SIMIO, as a simulation package by using a new user-defined step instance named “CallMATLAB”. A manufacturing system case study is introduced where the CallMATLAB step instance is used to create an Iterative Optimization-based Simulation (IOS) model. This model is created to evaluate the performance of different optimizers. The benefits of this hybridization for other industries, including healthcare systems, supply chain management systems, and project management problems are discussed. |
| Databáze: | OpenAIRE |
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