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We have covered all of the blocks of Fluid Library. They act like a fuel source, so their Exit block is connected to Enter blocks at Main, which forwards fuel from tanker to Tank with the respective fuel type. The same feature is used for the simulation of arriving tankers. In the model, the On dispense completed action disconnects the dispenser Exit, and the car leaves the station. Both opening and closing events are scheduled, so the modeler can perform actions here. The Valve block dispenses a certain amount of fuel and then closes itself. This feature is used in the model when an incoming car connects its Enter block with the Exit block of the dispenser and opens the valve. A modeler can switch the Enter block at model run, allowing it to disconnect an Exit block from one Enter and connect it to another Enter (or remain nonconnected). The Exit block forwards the flow to a specified Enter block (like a connector). The embedded Split4 block ensures that each dispenser get its portion of fuel, splitting the flow among four pipelines equally. Each dispenser has an Exit for fuel type respectively, and shares one tank per fuel type. It has three Enter blocks and twelve embedded Exit blocks. So, the main fluid flowchart represents the gas station. We have three different fluid flowcharts and two process flowcharts that manage fluid flowcharts from an action code. Sometimes the gasoline tanker arrives to refill the tanks. The gas station serves cars, which have three fuel types. The gas station example model illustrates this concept. In general, this review argues that future studies should focus on framework development that will support the selection of simulation types based on the problem.The Fluid Library allows advanced routing with Enter and Exit blocks, similar to the Process Modeling Library. All of these types have continued to contribute to healthcare simulation modelling in recent years and more are expected in the future. Based on healthcare applications and issues, this paper finalized five main types of simulations: 1) discrete-event simulation 2) system dynamics 3) agent-based modeling 4) Monte Carlo simulation and 5) hybrid systems. This paper reviews and summarizes publications related to various types of computer simulation tools in the healthcare domain, using the Scopus database. A holistic understanding of the issues related to simulation types in healthcare is required. Simulation modeling which is among the decision-making techniques, is generally used to represent the real systems of healthcare for the authorities to evaluate prior to any modification. The nature of the healthcare system is crucial and requires health authorities worldwide to ensure every decision is made correctly and efficiently.
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Finally, some possible ways for linking different simulation methods in a multi-methods simulation environment are illustrated with examples. Also, we summarize some challenges for modelers using integrated approaches. Although the integrated simulation approaches help in capturing the inherited complexity of healthcare systems, but until today, its implementation in this context is still very limited. There are two types of simulation software, individual method packages and multi-methods simulation packages. This paper considers the available simulation methods and how they are utilized in healthcare integrated simulation models. Integrated simulation approaches can be defined as the use of two or more individual simulation methods in modelling and solving a single problem or application including discrete-event simulation (DES), agent-based simulation (ABS) and system dynamics (SD). This paper reviews the different forms of integrated simulation approaches and their applications in healthcare systems.