Deterministic vs Stochastic
docx
keyboard_arrow_up
School
Seminole State College of Florida *
*We aren’t endorsed by this school
Course
3013
Subject
Industrial Engineering
Date
Feb 20, 2024
Type
docx
Pages
3
Uploaded by DoctorNeutron24895
Deterministic Simulations are called deterministic because the model’s behavior is entirely predictable and therefore deterministic. Deterministic Simulations has inputs that are concrete and there is no uncertainty. “Deterministic simulation models are used in many areas of science, engineering, and policy making” (Poole & Raftery, 2000). Engineering firms use deterministic simulations to design and test complex systems, such as bridges or buildings. Deterministic simulation can be used to assist engineers in different phases of bridge projects with planning, design, construction, operation, and maintenance. It can also assist engineers to select the optimal location, shape, size, and material of a bridge, based on the expected traffic, environmental, and aesthetic factors. Engineers can also use deterministic simulation for evaluation of practicality, cost, and safety of different bridge construction options.
In contrast, a stochastic simulation model is one that has one or more random variables as inputs and outputs and involves some degree of randomness or uncertainty. Given the same inputs, the model may produce different outputs each time. A stochastic simulation model can be used to build bridges when the behavior of the system is not fully predictable and there are unknown variables or fluctuations. For example, a stochastic simulation model can be used to estimate the reliability and safety of a bridge based on its exposure to environmental factors, traffic conditions, and natural disasters. This specific classification of simulation can be used to forecast or predict outcomes that result from variable information relevant to the study.
Arena Software is a powerful tool that allows you to combine deterministic and stochastic simulations using discrete event modeling and analysis. A similar commercial software simulation product available for modeling discrete event simulations is called FlexSim. FlexSim is a discrete event simulation software that uses a drag-and-drop interface for modeling simulations in 3D. FlexSim and Arena are two popular commercial software products that can be
used for modeling discrete event simulations deterministic and stochastic. They have some similarities and differences in their features, advantages, and prices.
Both FlexSim and Arena offer a range of features for creating and analyzing simulation models, such as dynamic modeling, mathematical modeling, data import/export, reporting and statistics, scenario planning, graphical data presentation, third party integrations, access controls/permissions, customization, real time monitoring, continuous modeling, workflow management, version control, performance management, reporting/analytics, design management, visual analytics, graphical workflow editor, file management, design analysis, direct manipulation, drag and drop, activity dashboard, ad hoc analysis, change management, discrete event modeling, Monte Carlo simulation, customizable reports, predictive analytics, document management, policy management, presentation tools, agent-based modeling, API, process control, content library, data verification, projections, stochastic modeling, and 3D imaging. However, FlexSim has some additional features that Arena does not have, such as motion modeling, data visualization, configurable workflow, product data management, and
project workflow. Both FlexSim and Arena have some advantages over other simulation software
products, such as ease of use, customer service, flexibility, scalability, reliability, accuracy, and compatibility. However, FlexSim has some additional advantages that Arena does not have, such as faster simulation speed, more realistic 3D graphics, more powerful animation capabilities, more user-friendly interface, more comprehensive documentation, and more active community support. Both FlexSim and Arena have different pricing plans depending on the number of users,
licenses, modules, and features. However, FlexSim is generally more expensive than Arena, as it offers more advanced features and functionalities. The exact prices of FlexSim and Arena are not
publicly available, but you can request a quote from their websites or contact their sales representatives for more information.
To summarize, FlexSim and Arena are both powerful and versatile simulation software products that can be used for modeling discrete event simulations deterministic and stochastic. However, FlexSim has some edge over Arena in terms of features, advantages, and performance, while Arena has some edge over FlexSim in terms of price and affordability.
Here is a video to show FlexSim simulation of an arena. https://www.youtube.com/watch?
v=NrJxlqdbO2M&t=5s
Citations
Arena vs FlexSim Comparison - Capterra UK 2023. https://www.capterra.co.uk/compare/144460/107009/arena/vs/flexsim.
Arena vs. FlexSim Comparison - SourceForge. https://sourceforge.net/software/compare/Arena-
Rockwell-Automation-vs-FlexSim/.
Compare Arena vs FlexSim 2024 | Capterra. https://www.capterra.com/simulation-software/compare/144460-107009/Arena-vs-FlexSim.
Compare Arena vs. FlexSim vs. Simio in 2023 - Slashdot. https://slashdot.org/software/comparison/Arena-Rockwell-Automation-vs-FlexSim-vs-Simio/.
What is the difference between FlexSim vs Arena? - FlexSim Community. https://answers.flexsim.com/questions/110250/what-is-the-difference-between-flexsim-vs-
arena.html.
Poole, D., & Raftery, A. E. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association, 95(452), 1244–
1255. https://doi.org/10.1080/01621459.2000.10474324
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help