Data Envelopment Analyses
Seyed Hamzeh Mirzaei
Abstract
One of the problems of based models on data envelopment analysis (DEA) for ranking preference voting systems is that it allows each alternative have its own weight vector. Therefore, alternatives are evaluated with different weight vectors. In this study, we propose a model based on fuzzy logic to solve ...
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One of the problems of based models on data envelopment analysis (DEA) for ranking preference voting systems is that it allows each alternative have its own weight vector. Therefore, alternatives are evaluated with different weight vectors. In this study, we propose a model based on fuzzy logic to solve the weaknesses of the previous models. This model is based on the solving of multi-objective programming models with the help of fuzzy logic, in this way it providing a vector of common weights, and finally, we can rank the alternatives.
Data Envelopment Analyses
Masumeh Khanmohamadi; Hossein Heydari
Abstract
In recent decades, as a result of the global economic growth and the development of investment, extensive researches have been carried out in the field of ranking companies, Data Envelopment analysis (DEA) and Analytical Hierarchy Process (AHP ) are the most important methods in this field, However, ...
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In recent decades, as a result of the global economic growth and the development of investment, extensive researches have been carried out in the field of ranking companies, Data Envelopment analysis (DEA) and Analytical Hierarchy Process (AHP ) are the most important methods in this field, However, perhaps the most notable method is DEA/AHP which is, in fact, the combination of the mentioned ones. This method utilizes the strengths of DEA and AHP to rank the decision-making units (DMUs) in a company.The aim of this study is to provide a rating of cement companies operating in the stock using improved methods DEA / AHP is. The results of the research show that in 1391, Isfahan, Bojnoord and Qaen cement companies took the first to third places, but in 1392 these places belonged to Abyek, Isfahan and Cazroon companies. Therefore, it can be concluded that while using the improved integrated DEA and AHP method, not only the companies with higher efficiency are placed in higher ranks, but also, the inefficient companies are ranked effectively.
Multi-Attribute Decision Making
saeid mojody; Atefeh Amindoost; Mehrdad Nikbakht
Abstract
Power management set of methods and strategies that can be used to optimize energy consumption. Due to the widespread use of electric energy in human life the bulk of consumption management processes associated with managing electric power consumption. The main objective is how strategies and measures ...
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Power management set of methods and strategies that can be used to optimize energy consumption. Due to the widespread use of electric energy in human life the bulk of consumption management processes associated with managing electric power consumption. The main objective is how strategies and measures to reduce energy consumption in cement industry solutions identified using fuzzy AHP method ranked. The solution is to collect 23 7 Index of literature, interviews and brainstorming with experts, specialists and experts were Sepahan Cement. The questionnaire and distribute them among 100 experts and professionals, decision matrix Vmatrys was paired comparisons. Then the whole matrix hourly data are converted into fuzzy numbers and fuzzy decision and paired comparisons with average data matrices 23 and 7 indicators were formed solution. At the end of 23 strategies were ranked using fuzzy AHP. Results indicate that after identifying ratings and rating solutions, solutions "of hot exhaust gases heat recovery and power generation," as the highest rank, respectively. Innovation of this study is to see the phased approach of decision-making, to identify and rank the strategies and measures to reduce electrical energy consumption is in cement Sepahan
Multi-Attribute Decision Making
mostafa shiri; Ali Jahan
Abstract
MID term planning or determination of productionbudget is one of more importatnt activities for manufactoring industries that is necessory to be started befor the beginning of each period.the purpose of budget , is prediction of consumption market in next period and determination of production schedule ...
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MID term planning or determination of productionbudget is one of more importatnt activities for manufactoring industries that is necessory to be started befor the beginning of each period.the purpose of budget , is prediction of consumption market in next period and determination of production schedule in order to provide market needs. we need to know priority of products for budgeting. this priority is presentable by decision making techniques.using data of one period don't show the process of changes in attributes during previos periods. for this reason, in this article, topsis technique is developed by using multi period data instead of one period. in order to explain this research, we will prioritize chemidarou products with more than one handred and sixty production license.but in this article, the mentioned mettod is shown in five cases of products during three consecutive years befor the intended period and we consider decision attribute such as profit margin, market share, the number of competitors ond consumption growth in country.applying of suggested method is very useful for this company and other companies with wide variety of products in case of selection high value products to stay on budget and present mid term production planning.