Congresos de la Universitat Politècnica de València, CIT2016. Congreso de Ingeniería del Transporte

Por defecto: 
Intelligent Approach to Inventory Control in Logistics under Uncertainty Conditions
Paweł Więcek

Última modificación: 05-06-2016


The article presents a proposal for a combined application of fuzzy logic and genetic algorithms to control the procurement process in the enterprise. The approach presented in this paper draws particular attention to the impact of external random factors in the form of demand and lead time uncertainty. The model uses time-variable membership function parameters in a dynamic fashion to describe the modelled output fuzzy (sets) values. An additional element is the use of genetic algorithms for optimisation of fuzzy rule base in the proposed method. The approach presented in this paper was veryfied according to four criteria based on a computer simulation performed on the basis of the actual data from an enterprise.



Palabras clave

inventory control; logistics systems; artificial intelligence

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