SIMUL8 provides excellent ease of learning and use, enabling client industrial engineers to rapidly achieve a high degree of self-sufficiency in model building. Additionally, the software includes a powerful yet conceptually simple language –Visual Logic– which permits the modeler to customize process logic. Sixteen standard distributions (e.g. normal, triangular, uniform, exponential, Erlang, lognormal, and Weibull) are provided with the software, and the user can readily define customized empirical distributions.
SIMUL8 enables concurrent building of simulation models and their animation using the basic elements of Start Point, Queue, Activity, End, Resource, Conveyor, Loader, and Vehicle. SIMUL8 supports user creation and use of customized, reusable libraries of simulation components.
Inputs and Outputs
These are the most common parameters of a SIMUL8 model, which are set by the user to influence the conditions of a simulated environment:
- Cycle times
- Production rate
- Buffer Capacity
- Arrival rates
- Downtime frequency and duration
Outputs valuable in supporting engineering and management decisions include:
- Equipment utilization
- Bottleneck identification
- System throughput
- Inventory levels
- Queue lengths and wait times
Areas of application
SIMUL8 can be used to model any process where there is a flow of work. Main areas of use are manufacturing, health care, contact centers and supply chain. Applications include:
- Manufacturing systems – such as assembly line models and job shops.
- Logistic systems – involving transfer of work or inventory among work areas and buffers.
- Administrative systems – such as those in health care record-keeping or probation/parole offices.
- Client-service systems – such as banks, hotel registration, airports, and retail.
PMC provides consulting, installation, training, implementation, and support services for SIMUL8. Contact us today for more information or to request a quote.
- White Paper: Pitfalls of Simulation Modeling and How to Avoid Them by Using a Robust Simulation Methodology
- White Paper: Proper Management Techniques are Keys to a Successful Simulation Project
- White Paper: Simulation Methodology — A Practitioner’s Perspective
- White Paper: A Uniform Methodology for Discrete-event and Robotic Simulation.
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This discipline involves evaluating multiple layout and flow scenarios to design an optimum solution that meets a space requirements, reduces material handling costs, and improves throughput.
Simulation modeling is the process of creating and analyzing a digital prototype or virtual representation of a physical model or a system to predict its performance in the real world. Simulation modeling allows proposed changes to be tested, and productivity impact analysis of these changes to be performed.
A number of Industrial Engineering methodologies fall under the umbrella of Work Measurement. These include MODAPTS, Time Study, and Predetermined Motion Time System (PMTS).