Volume 9, Issue 47 (7-2011)                   cs 2011, 9(47): 207-224 | Back to browse issues page

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Safaei Ghadikolaei A, Esmaeilzadeh M. A New Model For Comparing Models Results Of Multi – Criteria ABC Inventory Classification ( A Case Study: Saipa Corp). cs. 2011; 9 (47) :207-224
URL: http://cs.shahed.ac.ir/article-1-881-en.html
, ab.safaei@umz.ac.ir
Abstract:   (5405 Views)

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.

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Type of Study: Research | Subject: Special

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