Citation:
Robust optimization techniques are methodologies designed to create solutions that remain effective under uncertainty and variability in model parameters. These techniques aim to ensure that the decisions made are not overly sensitive to small changes in input data, allowing for more reliable and resilient logistics network designs. By incorporating uncertainty directly into the optimization process, these methods help in achieving solutions that can withstand fluctuations in demand, supply, and other operational factors.