Designing a decision-support system for logistics operations under uncertainty.

Systems that turn operational uncertainty into economically informed decisions.

This project explores a real problem in logistics operations:

How to prioritize orders when multiple operational variables compete for limited resources and each decision may trigger contractual penalties.

The goal was to model how a decision-support system could help dispatchers evaluate the economic risk of each assignment before committing to an operational decision.

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Nexus Decision Engine

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The problem

Every dispatch decision can involve thousands of dollars in SLA penalties.

In many logistics operations, dispatchers still rely on limited tools to make critical decisions:

• spreadsheets
• traffic maps
• personal experience
• constant operational pressure

When a scarce resource must be assigned quickly, operators typically prioritize based on time remaining until the SLA deadline.

The problem is that this logic does not reflect the real economic impact of each decision.

Operational scenario

Tuesday, 3:00 PM.