´Quick and dirty´ modeling in a decision support tool for supply chain design

This work introduces a decision support tool for modeling and analyzing methanol supply chains. The tool has been built using relatively simple, linear models, and we set out to explore the possible impact of such tool in practice. In particular, we have measured situation awareness and technology acceptance. We found that, although the underlying models are ´quick and dirty´, i.e. blackbox mass and energy balances, the situation awareness of industrial users increased, and that the perceived usefulness of the tool was satisfactory to good.