maghsood amiri; mojtaba aghaei
Volume 21, Issue 3 , December 2017, , Pages 1-23
Abstract
In choosing an alternative among many, decision makers usually take into account multiple criteria’s, which are sometimes in line with each other and sometimes conflicting. When there is dependencies between criteria, MCDM techniques such as ANP, AHP and DEMATEL could be applied. Another approach ...
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In choosing an alternative among many, decision makers usually take into account multiple criteria’s, which are sometimes in line with each other and sometimes conflicting. When there is dependencies between criteria, MCDM techniques such as ANP, AHP and DEMATEL could be applied. Another approach is to classify criteria that are correlated with each other. In this study a new approach of set covering problem to this end has been used. Our objective is setting these criteria into clusters so that their correlation in each cluster to be maximized, and also their correlation with others be minimized. In order to validate our proposed model, factor analysis method used. Data gathered from 9 industries related to 26 foreign countries. Finally, results of both models were almost similar. The results show that efficiency of the proposed method (set covering) for grouping variables is acceptable and this method in future research can be used to classify variables (when there is a correlation between variables).
mohammad hasan dehghani; mojtaba aghaei; seyed mohammad taghi taghavifard
Volume 19, Issue 2 , August 2015, , Pages 65-89
Abstract
Supplier selection and determination of the lot sizing is an important component of production and logistics management for many companies. Therefore, after the select of preferred suppliers at the first should obtaine the optimize order of each of the suppliers that is the purposes and constraints of ...
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Supplier selection and determination of the lot sizing is an important component of production and logistics management for many companies. Therefore, after the select of preferred suppliers at the first should obtaine the optimize order of each of the suppliers that is the purposes and constraints of determiners. One of the most effective techniques, which can provide optimal solutions with different targets, is multi-objective programming model.Purpose of this study is to design an efficient multi-objective model of optimal to determine the lot sizing to each supplier.This work is done with designation of multi- objective model, to achieve minimizing the cost of the chain, such as the cost of purchasing, storage, transportation, etc., and also maximize the quality of materials that purchased from suppliers. Finally the model is solved by using the meta-heuristic method, multi-objective Non-dominated Sorting Genetic Algorithm II (NAGA-II), and also in order to validate the model using meta-heuristic particle swarm optimization algorithm (PSO) has been solved and results compared with the first method.
