Using simulation on the front end of a project lowers overall investment risk. Simulation reduces the risk associated with time spent on designs that may not be optimal for a particular project.
Simulation requires data about the system functions and performance.
Higher confidence is provided by knowing what the OEE or throughput will look like on the back end of a project.
Typically, existing systems are audited.
Developing a simulation model requires focus on the data, system functions, and performance. Due to focus on the project outcome, simulation may bring new ideas and insights to the customer resulting in automation and optimization of an existing system.
Design options are quantitatively evaluated.
Quantitative evaluation of design options allows people within an organization to look at the project data objectively. Operations, maintenance, or engineering personnel can use simulation as a tool to accurately find the best choice to move forward with the project.
Level of detail and cost can be managed for the level of accuracy needed.
With a variety of new design tool options, the amount of front-end engineering and simulation can be tailored to meet the amount of risk specified by the customer.