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optimization202/ESUPS_case_study/README.md

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 To reduce gaps and overlaps in emergency preparedness, [ESUPS](https://esups.org/) promotes coordinated prepositioning of emergency supplies and collective logistics strategies.
 
 ## Problem
-By using scenario-based transportation linear programming model, the model resource allocation and logistics decisions, providing quantitative metrics to evaluate and improve humanitarian operations.
+This model used a scenario-based transportation linear programming model with a probabalistic objective to show how to allocated resources at minimal expcted cost. Several important metrics are then derived to inform decision making. 
 
 The goal is to decide:
 - How much of each supply to store in certain locations
-- How to respond to disaster events at minimal cost
+- And then how to respond to disaster events at minimal cost
 
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 For details on licensing or on running the notebooks, see the overview on [Modeling Examples](../../)