Document Type : Research Paper

Authors

• Jafar Rezaei
• Mansour Esmaeilzadeh

Abstract

This paper compares different multi-criteria inventory classification models. The purpose of this paper is to introduce a simple and applicable quantitative approach for this comparison. This model is capable to compare a large number of inventor)' classification models. The selected models for this comparison study are classical model, Weighted Linear Optimization, Fan & Zhou Model and Ng Model. We select 47 Stock Keeping Units (SKUs) to compare the models and select the best model using the ‘fitness average approach'. The results show the robustness of Wan Lung model and weakness of classical model.

Keywords

• Multi-Criteria Inventory Classification (MCIC)
• Weighted Linear Optimization
• Fan & Zhou Model
• Ng Model