Finance

Stability (learning theory)

Business

Pure mathematics

Logistics center

Multimodal transport

Mathematics

Operations research

Machine learning

Profitability index

Marketing

Philosophy

Order (exchange)

Artificial intelligence

Attributive

Computer science

Linguistics

TOPSIS

Field (mathematics)

Selection (genetic algorithm)

Operational Research in Engineering Sciences Theory and Applications

A logistics center (LC) is unique technological, spatial, organizational and economic unity that brings together different providers and users of logistics services. By selecting the optimal LC location, transport costs are reduced and business performance, competitiveness and profitability are improved. In order to achieve the overall optimum, it is necessary to perform adequate evaluation and selection of the optimal location for the construction of a LC. In this paper is performed the evaluation of potential locations based on new approach in the field of logistics. Weight coefficients of criteria are determined using objective model integrated in Single-Valued Neutrosophic (SVNN) Multi-Attributive Border Approximation Area Comparison (MABAC) model. In order to determine the stability of the model, the SVNN MABAC model is compared with other representative multi-criteria models. In the final part of the model validation, statistical correlation between the SVNN MABAC model and other proposed approaches  (SVNN WASPAS, SVNN VIKOR, SVNN TOPSIS and SVNN CODAS) is performed.

Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model