TY - JFULL AU - Makram Ben Jeddou PY - 2015/6/ TI - Sensitive Analysis of the ZF Model for ABC Multi Criteria Inventory Classification T2 - International Journal of Computer and Information Engineering SP - 1169 EP - 1174 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10001382 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 101, 2015 N2 - ABC classification is widely used by managers for inventory control. The classical ABC classification is based on Pareto principle and according to the criterion of the annual use value only. Single criterion classification is often insufficient for a closely inventory control. Multi-criteria inventory classification models have been proposed by researchers in order to consider other important criteria. From these models, we will consider a specific model in order to make a sensitive analysis on the composite score calculated for each item. In fact, this score, based on a normalized average between a good and a bad optimized index, can affect the ABC-item classification. We will focus on items differently assigned to classes and then propose a classification compromise. ER -