Formal training is highly recommended to ensure that you receive the most from your investment in Arena Simulation Software. We offer a variety of public courses throughout the year as well as provide customer-specific on-site training at your facilities. All courses are taught by our team of consultants who have a broad range of simulation experience. Whichever path you choose, we are confident you will benefit from our Arena training offerings.
Arena Standard/Professional Edition Course
The Arena Standard/Professional Edition course is taught by experienced Arena Simulation Consultants and consists of an even balance of lectures and hands-on workshops.
We offer regularly scheduled public courses at our office in Pittsburgh, PA. In addition, we offer the option of conducting the same course at your offices. The on-site course uses the same agenda and materials of the public course. If you have multiple attendees, the on-site course can be a cost effective option.
Public Course Fee: US $3,000/student
Arena Advanced Course
This 3-day course on advanced Arena topics is taught by experienced Arena Simulation Consultants and consists of lectures, examples, and hands-on workshops. Students learn more about: debugging, use of pointers, advanced use of Sets, some useful Blocks and Elements, searching and queue manipulation, advanced resource behavior, input data, and advanced statistics and analysis as well as other topics.
Students enrolling in the course should have completed the Arena Standard/Professional Edition Training Course and at least one simulation project. Just like our Standard/Professional edition course, the Advanced course is also available as an on-site course.
Public Course Fee: US $3,000/student
Half Day Arena Web Course
We offer a 1/2 day web-based training to meet your specific needs. Learn Arena Simulation from the convenience of your office. No travel required! Our expert consultants will work with you to determine the scope of the training class.
Sample Course Topics:
- Arena Visual Designer (create live data dashboards and 3D animation)
- SIMAN Blocks and Elements
- Arena and VBA Overview
- Advanced Statistics
- Advanced Use of Sets
- OptQuest for Arena
- Custom review of your Arena project
You design the training that is right for you!
Course Fee: $1,000
Arena Packaging Template Course
We offer a two-day course on the Arena Packaging Template that covers each module in the template. The workshop includes several hands-on exercises. Overviews of the simulation engine and statistical reports are presented. You’ll learn key techniques for modeling issues such as reliability, loss, palletizing operations, filling operations, changeovers, and control logic. If you’re a new user of the Arena Packaging Template, this course is highly recommended to ensure success with your first simulation project.
As with all of our courses, you have the option of taking one of our public courses or having the course conducted on-site at your facility.
Public Course Fee: US $2,500/student
International Course Offerings
Many of our worldwide business partners provide software training. Selected international course schedules are listed here. For other training courses at a location near you, contact your local representative.
Do you need customized training? Contact us to discuss your needs. We will craft a program specifically for you!
Useful Blocks and Elements
This section explains the concept of numbering model elements and referencing the symbol numbers of resources, queues and stations in a series of exercises. The nicknames and arrivals elements are introduced, as well as considerations with using the duplicate block.
Debugging Techniques 1-5
This section reviews the types of errors, use of debugging tools, and examples of six common errors.
Advanced Use of Sets
Expanded use of sets, including station sets, queue sets and picture sets, is introduced and defined. Using sets in conjunction with arrayed variables and expressions is also discussed. Four exercises using sets and arrays give students hands-on experience modeling with sets, pointers, and arrays.
The J index variable and searching is discussed in this section. Queue searches, entities in an infinite hold (detached queue), and removing these entities are also concepts covered. Students have an opportunity to perform a reneging exercise and learn how to handle a dynamic starting point with their searches.
Queue Manipulation and Queue System Variables
This section reviews the NQ and AQUE variables. Students will also learn how to perform a search based upon an expression. Other useful variables such as IDENT, ENTATRANK, and A are discussed. Agent-based systems are also covered.
Topics in this section include batching and separating batches, use of the Pickup and Dropoff modules, and the NG, AG, and ENTINGROUP variables. Students have the opportunity to perform two exercises illustrating the concepts discussed.
This section describes the use of multiple two-dimensional arrays. Students will also learn how to set up virtual 3D arrays and typical uses for these arrays. Students will learn the use of the VAR and EXPR variables. Two exercises allow students to practice these concepts. A discussion of Boolean logic and extensive examples teach students how to leverage this concept in their own models.
Advanced Statistics and Analysis
Students learn the difference between collecting overall statistics and replication statistics and the OVALUE, MREP and NREP variables. A discussion of post run statistics and related variables is also covered. Students will learn about output statistics and periodic statistics.
Advanced Resource Behavior
Topics include a review of resource states and assigning states. Also addressed are advanced failure logic including preemption and advanced scheduling logic.
Time Considerations in Arena
This section covers the Arena event calendar, the order of entity execution of logic, and timing errors. Students will see ten examples of common timing errors.
Input Data and Statistical Distributions
Students will learn about types of input data and fitting distributions to data using the Input Analyzer. The Non-Stationary Poisson process is discussed in detail. Students also learn the benefits of specifying random number streams for their distributions.