*Romie* is a decision support tool based on AI’s latest advances in the domain of robust scheduling. Unlike all existing systems, the tool allows to (i) *visually model* the operational problem and context entirely (ii) optimize to find near-optimal schedules while *taking uncertainty into account* and (iii) deal with a combination of various *key performance indicators* (KPIs).

It comes with a web user interface. Part or all of the modelled activities may be associated to random variables describing their stochastic durations, in order to produce schedules that are *robust* w.r.t. temporal uncertainty.

Hence, depending on the pursued KPIs, the schedules maximize a combination of the following terms: the probability of satisfying the problem constraints, the expected return/efficiency, the expected outcome quality, and even the *operators’ wellness* by minimizing its expected extra-hours.

Initially developed for spatial exploration and demonstration in the context of Mars analog missions (i.e. missions on Earth that simulate condition and aspects of Mars missions), this *versatile* tool is here applied to operations management in both biotechnology manufacturing and robots parametrization in a cave exploration context.