368. Using equitable optimization for the hazmat transport network design problem
Invited abstract in session MB-51: Multiobjective optimization applications, stream Multiobjective and vector optimization.
Monday, 10:30-12:00Room: Parkinson B22
Authors (first author is the speaker)
| 1. | Ozlem Karsu
|
| Industrial Engineering, Bilkent University | |
| 2. | Yunus Emre Cakir
|
| IESE Business School, University of Navarra |
Abstract
The shipment of hazardous materials is challenging due to the risk that the population centers face during transportation. The policy makers often have concerns for ensuring a balanced allocation of the risks to the population centers. We structure this problem as an equitable optimization problem with multiple objectives aiming to minimize the risk exposure of different neighborhoods. The resulting multiobjective mixed integer linear programming problem is solved to provide the policy makers equitably nondominated options, each with different levels of efficiency (total risk) and fairness (allocation of risk).
Keywords
- Multi-Objective Decision Making
- Transportation
Status: accepted
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