TY - JOUR ID - 72356 TI - Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Garmeyi, yoones AU - Bashiri, Mahdi AU - Yahyaei, Mohsen AD - IE, Shahed University AD - Industrial Engineering, Shahed University Y1 - 2014 PY - 2014 VL - 27 IS - 8 SP - 1205 EP - 1214 KW - Logistic Hub KW - Multi Criteria Decision Making KW - TOPSIS KW - Statistical Factorial Design KW - Clustering Analysis KW - meta KW - model DO - N2 - Third party service providers are locating logistic hub for operating their tasks. Finding a proper location helps them to have better performance in competitive environment. Multiple characteristics of proper location selection faces the decision maker to have a multi criteria decision making problem. Since the location decision is a long term planning, the robustness of the decision is getting more highlighted so a Meta-model can be used to reduce uncertainty effect.  Hub facilities are reducing the serving cost due to economies of scale. In this paper in order to enhance such effect we applied the clustering analysis to find similar regions by consideration of different characteristics. The approach is implemented in an Iranian case study and the validity of the approach has been investigated. UR - https://www.ije.ir/article_72356.html L1 - https://www.ije.ir/article_72356_4dc3d44a5bcbbc09580897ee4506e76e.pdf ER -