Automation solutions that are developed in conjunction with modeling and simulation are far more likely to be successful because it provides a mechanism to mirror the effects of a process/system prior to development in order to avoid any cycle time issues and forecast potential changes in the future.
AXIUM’s proven modeling and simulation methodologies are used to develop a mathematical model that helps evaluate the general performance of a system. The mathematical model is then modified to reflect different scenarios that may occur, which in turn helps evaluate the potential results.
Over the years, AXIUM has developed an infrastructure that supports the dynamic testing needs of our customers. Our large assembly workshop allows us to set-up entire systems and replicate our customer’s site and working conditions. We can perform precise testing before delivering the equipment to the customer.
AXIUM’s Modeling and Simulation services are measured against 6 fundamental goals:
| Subject | Simulation Goal |
| Comprehension | Provides a better understanding of a problem and we can identify or validate the system properties:
|
| Performance | Can determine the performance of a proposed system. |
| Comparison | We can evaluate different competitive design or functions, operation politics or suggested procedures. |
| Critical Factors | We can determine the critical factors that will have a bigger impact on the overall performance of a system. |
| Optimization | We can evaluate what design or what kind of variables will generate the best cycle results. |
| Tool | A tool that will help you to make decision in "real time". It can also help you to train your personnel by showing them different kinds of operation scenario that may be difficult to experiment. |
|
Subject |
|
Comprehension |
|
Performance |
|
Comparison |
|
Critical Factors |
|
« Optimization » |
|
Tool |









