Volume 55, Number 2, March-April 2021
Decision and Optimization in Service, Control and Engineering (CoDIT2019-DOSCE)
|Page(s)||1113 - 1135|
|Published online||06 May 2021|
A note on the warehouse location problem with data contamination
Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, P.R. China
2 Department of Industrial Engineering, Pusan National University, Busan, Republic of Korea
3 Viewshare Technology Co., Ltd, Beijing, P.R. China
Accepted: 10 March 2021
To determine the optimal warehouse location, it is usually assumed that the collected data are uncontaminated. However, this assumption can be easily violated due to the uncertain environment and human error in disaster response, which results in the biased estimation of the optimal warehouse location. In this study, we investigate this possibility by examining these estimation effects on the warehouse location determination. Considering different distances, we propose the corresponding estimation methods for remedying the difficulties associated with data contamination to determine the warehouse location. Although data can be contaminated in the event of a disaster, the findings of the study is much broader and applicable to any situation where the outliers exist. Through the simulations and illustrative examples, we show that solving the problem with center of gravity lead to biased solutions even if only one outlier exists in the data. Compared with the center of gravity, the proposed methods are quite efficient and outperform the existing methods when the data contamination is involved.
Mathematics Subject Classification: 90B25
Key words: Facility location problem / robust / center of gravity / weighted median
© EDP Sciences, ROADEF, SMAI 2021
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