About of Multi - Criteria ABC Inventory Classification, various models have been presented by researchers. Different results of items classification in these models have created a challenge for researchers. In this paper integrated techniques are used in order to compare the models results of Multi - Criteria ABC Inventory Classification. Presented model for determining the most appropriate model is simple and applicable for comparing a variety of models. In this paper, Wan Lung Model, Fan& Zhou Model, Weighted Linear Optimization (R-Model) traditional model are used as a proposal model for improvement of above-mentioned models for classification of 100 items of Saipa Company inventory. Models had compared with Ranks Average. Results show that Fan& Zhou Model and proposal model are most appropriate models.
Safaei Ghadikolaei, A., & Esmaeilzadeh, M. (2020). A New Model For Comparing Models Results Of Multi â Criteria ABC Inventory Classification ( A Case Study: Saipa Corp). Commercial Strategies, 9(47), 207-224.
MLA
A Safaei Ghadikolaei; M Esmaeilzadeh. "A New Model For Comparing Models Results Of Multi â Criteria ABC Inventory Classification ( A Case Study: Saipa Corp)". Commercial Strategies, 9, 47, 2020, 207-224.
HARVARD
Safaei Ghadikolaei, A., Esmaeilzadeh, M. (2020). 'A New Model For Comparing Models Results Of Multi â Criteria ABC Inventory Classification ( A Case Study: Saipa Corp)', Commercial Strategies, 9(47), pp. 207-224.
VANCOUVER
Safaei Ghadikolaei, A., Esmaeilzadeh, M. A New Model For Comparing Models Results Of Multi â Criteria ABC Inventory Classification ( A Case Study: Saipa Corp). Commercial Strategies, 2020; 9(47): 207-224.
