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The literature review states that there is no conclusive evidence that the MBSE approach performs better compared to the “Document Centric” approach. Only a few references have claimed superior performance of the MBSE approach. The focus of our research is to analyze this issue based on a real-world example that many can relate to easily. This paper shows the work-in-progress of the stated research. This paper focuses on the use of the MBSE approach to estimate the throughput of a scaled-down serial flow line with unreliable machines and moderate buffers. The paper shows how a MBSE approach is used and how the stakeholders can access a “single source of truth” to make future changes that arise during the execution of the project. We have identified a set of KPIs in this paper that will be used for comparison when we compare the MBSE approach with the ”Document Centric” approach. Our next paper will focus on the use of a “Document-centric” approach to solve the same problem and report performance based on the same set of KPIs reported in the current paper. [ABSTRACT FROM AUTHOR]

The purpose of this technical paper is to present the generic features of a discrete event simulation software. The generic features represent the needs of a model builder during the translation of a problem statement into a simulation model. The generic features are software neutral and recognition of them helps a simulation model builder to migrate from one software to another easily. Some examples of the generic features related to model building include: entity generation scheme, resource management procedures, queue management procedures, manipulating the simulation clock, representation of system state and ways to terminate a simulation run. In addition, the features also include the important tasks of analyzing the input data to identify the best statistical distribution for each random element and generation of random variates from commonly used statistical distributions. The generic features also include a good source of random number generator as well as capabilities for statistical analyses of simulation results. Simulation is an evaluative and not a normative tool. The decision maker is often interested to find the best operating parameters of a system that requires use of optimization procedures. The DES software should have the added capability to include a search procedure that can operate on a simulation model to carry out this task. [ABSTRACT FROM AUTHOR]

The purpose of this technical paper is to present the generic features of a discrete event simulation software. The generic features represent the needs of a model builder during the translation of a problem statement into a simulation model. The generic features are software neutral and recognition of them helps a simulation model builder to migrate from one software to another easily. Some examples of the generic features related to model building include: entity generation scheme, resource management procedures, queue management procedures, manipulating the simulation clock, representation of system state and ways to terminate a simulation run. In addition, the features also include the important tasks of analyzing the input data to identify the best statistical distribution for each random element and generation of random variates from commonly used statistical distributions. The generic features also include a good source of random number generator as well as capabilities for statistical analyses of simulation results. Simulation is an evaluative and not a normative tool. The decision maker is often interested to find the best operating parameters of a system that requires use of optimization procedures. The DES software should have the added capability to include a search procedure that can operate on a simulation model to carry out this task. [ABSTRACT FROM AUTHOR]