Adaptive inventory control in production systems

Authors:
Balázs Lénárt;Katarzyna Grzybowska;Mónika Cimer
Affiliations:
Department of Transport Technology, Budapest University of Technology and Economics, Budapest, Hungary;Faculty of Engineering Management, Production Engineering and Logistics, Poznan University of Technology, Poznan, Poland;Department of Transport Technology, Budapest University of Technology and Economics, Budapest, Hungary
Venue:
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Year:
2012

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Abstract

This paper presents an adaptive inventory control system based on neuro-fuzzy logic. In particular we describe a control system using adaptive neuro-fuzzy interference (ANFIS) for calculating the optimal value of the storage level of goods. An implementation in MATLAB had been used to test and verify the proposed idea for the economic order quantity as a simple inventory control system. Our results shows that the presented approach is able to determine the optimal stock level and cost without knowing the exact mathematical model of the examined system.