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.
Garmeyi, Y., Bashiri, M., & Yahyaei, M. (2014). Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE). International Journal of Engineering, 27(8), 1205-1214.
MLA
yoones Garmeyi; Mahdi Bashiri; Mohsen Yahyaei. "Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE)". International Journal of Engineering, 27, 8, 2014, 1205-1214.
HARVARD
Garmeyi, Y., Bashiri, M., Yahyaei, M. (2014). 'Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE)', International Journal of Engineering, 27(8), pp. 1205-1214.
VANCOUVER
Garmeyi, Y., Bashiri, M., Yahyaei, M. Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE). International Journal of Engineering, 2014; 27(8): 1205-1214.
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