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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.<\/jats:p>","DOI":"10.1051\/ro\/2021036","type":"journal-article","created":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T09:20:52Z","timestamp":1615540852000},"page":"1113-1135","source":"Crossref","is-referenced-by-count":8,"title":["A note on the warehouse location problem with data contamination"],"prefix":"10.1051","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3840-0275","authenticated-orcid":false,"given":"Xuehong","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Can","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"250","published-online":{"date-parts":[[2021,5,6]]},"reference":[{"key":"R1","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.tre.2019.09.007","volume":"130","author":"Acar","year":"2019","journal-title":"Transp. 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