The overarching objective of this work was to expand access to simulation analysis and to improve decision support for internal customers. To support this goal, we explored using a system comprised of a web interface, database, and the Simio API in combination with data-generated modeling to simulate the use of a new type of equipment within a production facility. The system remotely runs a generalized Simio model driven by a set of data tables which define the facility’s key resources, locations, and workload. Any team member with access to the internal network can use the interface prompts to define their system and run a pre-built experiment to help assess whether an investment into the new equipment would likely have an adequate payback at their facility or not. This presentation describes some of the methods and lessons learned though the course of the work.
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