As an important and interesting topic in supply chain management, the concept of fuzzy set theory has been widely used in logistics center location in order to improve the reliability and suitability of the logistics center location with respect to the impacts of both qualitative and quantitative factor. However fuzzy set cannot deal with the indeterminacy involving with the problem. So the concept of single – valued neutrosophic set due to Wang et al. (2010) is very helpful to deal with the problem. A neutrosophic approach is a more general and suitable approach in order to deal with neutrosophic information than fuzzy set. Logistics center location selection is a multi-criteria decision making process involving subjectivity, impresion and fuzziness that can be easily represented by single-valued neutrosophic sets. In this paper, we use the score and accuracy function and hybrid score accuracy function of single- valued neutrosophic number and ranking method for single- valued neutrosophic numbers to model logistics center location problem. Finally, a numerical example has been presented to illustrate the proposed approach.