A note on the warehouse location problem with data contamination

To determine the optimal warehouse location, it is usually assumed that collected data are uncontaminated. However, this assumption can be easily violated due to uncertain environment and human error in disaster response, which results biased estimation of location. In study, we investigate possibility by examining these effects on location determination. Considering different distances, propose corresponding methods for remedying difficulties associated with contamination Although contaminated event a disaster, findings study much broader applicable any situation where outliers exist. Through simulations illustrative examples, show solving problem center gravity lead solutions even if only one outlier exists data. Compared gravity, proposed quite efficient outperform existing when involved.