Multiple Criteria Inventory Classiffication in an Electronics Firm

Arikan F., Citak S.

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, vol.16, no.2, pp.315-331, 2017 (SCI-Expanded) identifier identifier


Efficient inventory classiffication is a vital activity for electronics firms that work with a large amount of inventory items. Although one of the most widely used techniques in inventory classiffication is ABC analysis, this technique considers only a single criterion as the annual sales volume of each item. In practice, inhomogeneity and the di r erences among the inventory items necessitate considering multiple criteria to obtain a reliable classiffication. In this study, an integrated process of the analytic hierarchy process (AHP)-The technique for order preference by similarity to the ideal solution (TOPSIS)-ABC approach is proposed and performed to solve the multiple criteria inventory classiffication problem in an electronics firm. The steps of the interactive approach are programmed using MATLAB. The results of the integrated interactive approach and of the traditional ABC analysis are presented. The proposed approach gives e r ective and implementable results for the firm.