Discrete Event Simulation, CASE tool built using C#
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SimProject is a computer-aided software engineering tool that allows for the development of discrete event simulations through a graphical user interface. It compiles models into pseudo-code and interprets them using C#. The tool was created for educational and professional simulation purposes as an alternative to expensive commercial options. It can model common discrete event simulations and has been divided into modules for the CASE, project, diagrams, simulation engine, and user interface components.
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Discrete Event Simulation, CASE tool built using C#
- 1. SimProject CASE Tool for Discrete Event Programming (Simulation) Information Systems Engineering Project, 2005 Ron Perlmuter, Avi Orenstein Ben-Gurion University
- 2. About SimProject is a computer-aided software engineering tool that allows development of events, procedures & variables using discrete event simulation. Graphical user interface resembles to Microsoft Visual Studio combined with Visio provides an easy and intuitive way to simulation programming. SimProject compiles the graphical model to pseudo-code and later interpreters it using Microsoft .NET/C#. Finally the model is executed and the simulation results are displayed in console. Debugging and step by step execution is also supported. SimProject was built as part of our final B.Sc. project at BGU.
- 3. Goals Two primary goals: • Educational tool for discrete event simulation • Utility for programming advanced simulations Alternatives, like Arena, are very pricey and don’t justify development of small scale simulations.
- 4. Goals
- 5. How Can I Use It? Aside from software programming and testing, is it possible to use this tool for business cases? Definitely, here is a real life example...
- 6. How Can I Use It? You had the fortune to become a McDonald's franchise and you opened a new restaurant in your beloved neighborhood. After awhile you hear complaints about long queues, dissatisfied customers and losing customers to the restaurant next door.
- 7. How Can I Use It? You decide to create a simulation model, starting by resources: 1 chef, 2 cashiers, 10 tables. You figure out that most of the time the restaurant works fine, but only between 12:00 to 14:00 the problems arise. You calculate the customers arrival rate and average time they: • Serviced by the cashier • Serviced by the chef • Waiting for a seating Also you realized that the waiting line is no longer than 5 persons, meaning you lose customers to the next restaurant.
- 8. How Can I Use It? Now you can use this model in our tool and get more insights: • Number of customers you lose per day • Waiting time per customer • Locate the bottlenecks Computer simulation allows you to easily (and cheaply) investigate possible solutions: • Adding another cashier – how will it affect the lost customers number? How it will affect the average waiting time? • Will increasing the number of tables create a positive effect? • Should I hire another chef? This problem is real, and impacts many business. Think about your retailers and service providers…
- 9. Architecture We have divided the solution into 5 modules: • CASE • Project • Diagrams • Simulation Engine • User Interface
- 10. Simulation Engine Its prime objective is to compile and execute a simulation project. We thought about the best implementation for this objective, without creating a dependency on other modules. We were inspired by Java and .NET platforms, creating a new programming language that compiles into intermediate language. The intermediate language is an internal simulation language, adapting the graphical model to C#. The user is not aware of any internal languages.
- 11. Acceptance Criteria The robustness & performance of our tool can be measured by the capability to model various simulations which are studied in Computer Simulation course at Ben- Gurion University. Those simulations are composed from well known discrete event idioms from the classic literature. Our CASE tool allows the usage of the following models: • M/M/1 – Single server with events from Markov distribution. • M/M/n – Multiple servers. • Inventory models. • Jobs scheduling models.
- 13. Diagrams Module Creating a diagrams module from scratch is time consuming and risky. Also it was not part of our project goals. Two solutions were possible: 1. Integration with Microsoft Visio – due to poor support and cumbersome integration with Microsoft .NET we rejected this option. 2. Integration with Open Source – allowed us to draw diagrams and we manually changed its code in order to enhance the existing C# components with our requirements. The usage of the open source was very productive.
- 14. User Interface Module Like in the previous slide, we wanted to provide a Visual Studio experience since it’s very intuitive for developers and students. We searched for an open source solution and found a great implementation in C#.
- 16. More Stuff… Computer Simulation is a technique that represents real world using computerized program. The simulation also models it’s internal processes with the addition of the simulation results. Discrete Event Simulation is an evolving model which is represented by situational variables. Those variables change on the time axis, and precisely on specific locations in time. We call these locations in time ‘events’. Known Simulation Methods: • Manual – drawing manual data flow diagrams on paper, describing the logics and executing using trace tables. • Textual languages – this method describes the simulation using special syntax and commands. They usually simplified and don’t require an extensive knowledge in high level programming languages. E.g: Siman, Simphony.
- 17. More Stuff… • High level programming languages – capable of modeling any simulation. Most of the times used for simple simulations with simple outputs. E.g. Fortran, Java, C, VB. • Graphical simulation languages – visual language that describes the simulation model using well known structures. Those are adapted to textual simulation languages which later can be used in other programming languages. E.g. Arena, Simulink.