In the context of optimizing logistics, what is the primary role of the modeler when dealing with uncertain variables like future fuel costs?
Answer
To translate the problem into a set of quantifiable variables and constraints
The modeler's job in complex, uncertain situations is to convert ambiguity—like 'high future labor costs'—into a numerical parameter or defined metric that an optimization algorithm can process, thereby providing structured trade-offs.
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