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Multi-period stochastic optimization for facility location planning

Published on:

12 March 2024

Primary Category:

Optimization and Control

Paper Authors:

Alfredo Marín,

Luisa I. Martínez-Merio,

Antonio M. Rodríguez-Chía,

Francisco Saldanha-da-Gama


Key Details

Proposes very general facility location model with uncertainty and time dependence

Existing models are special cases of the formulation

Develops solution methods including Lagrangian heuristic

Test cases demonstrate performance of models and methods

Measures value of capturing uncertainty and dynamics

AI generated summary

Multi-period stochastic optimization for facility location planning

This paper introduces a general discrete optimization model for facility location planning that accounts for uncertainty and changes over time. A mathematical formulation is proposed and solution methods are developed. The model includes many existing location models as special cases. Solution approaches are evaluated on test cases. Measures are introduced to quantify the value of considering uncertainty and multiple time periods.

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