An Applied Intelligent Fuzzy Assignment Approach for Supply Chain Facilities

Nowadays, all industrial private and governmental sectors are making the effort to finde suitable location for their new facilities under practical restrictions such as uncertain traveling time/distance. In the throes of these restrictions, the applied intelligent-based approaches such as fuzzy logic are indispensable for dealing with the uncertainties. This paper extends beyond the previous studies by introducing the fuzzy logic into the facility assignment problem in which the uncertain traveling factors are handled by means of a distance matrix. To aid the managerial judgement on operational research decisions, here a fuzzy assignment model is used. Thus, the model determines which one of the production facilities have to be moved in light of making a better stream of transportation. The stream is optimized by minimizing the total traveling time/distance to cover the customers. Using the creditably theory, the cession of the most appropriate fuzzy assignment would be selected. The numerical results shows the effectiveness of the proposed approach in finding the appropriate location for facilities.

Keywords:

Applied Intelligent System , Fuzzy Assignment , Supply Chain , Credibility Theory