For a research project, I've recently begun investigating the question of how companies/organizations manage models. The goal of the project is to develop better model management practices for OR organizations and prototype the ideas within an information systems context. Models means any kind of model (operations research, simulation, machine learning, etc. etc.). The desire is to begin to treat models as "assets" for planned maintenance, tracking, portfolio management, retirement, etc.
So far I have only come across systems in the ML area (e.g. MLFlow.org) that help with the life-cycle of machine learning models. I have not found much information on systems/processes for managing operations research models that are used in companies.
So, I am wondering if anyone has come across this issue in their organization and how they approach the problem of tracing, tracking, maintaining, managing operations research models as assets to organizations.
------------------------------
Manuel Rossetti
Professor
University of Arkansas
Fayetteville AR
------------------------------