جستجوی مقالات مرتبط با کلیدواژه "مدل ram" در نشریات گروه "مدیریت"

In Workplaces, organizations need to balance warehouse inventory and maintenance costs. Therefore, inventory control is one of the major concerns of organizations. In many organizations, they use the ABC classification method for controlling a large volume of inventory. in the traditional ABC classification, items are categorized only by a single criterion; but considering other criteria is also essential, so in such cases, the multi-criteria inventory classification is used. The purpose of this study is to present a new model in multi-criteria inventory classification.

In this study, the data envelopment analysis method has been used to present an appropriate model for inventory classification. In the literature of Radial and non-radial models of data envelopment analysis have been used in inventory classification and the comparison of the results of the models indicates that non-radial models provide a more rational classification. Hence, other types of non-radial models have been proposed in this paper to improve inventory classification.

the proposed method does not have the weakness of the radial models and improves the multi-criteria inventory classification using non-radial models.

47 items of inventory related to a common numerical example in the literature as well as 80 items of inventory items of Pars Khazar industrial company have been used in order To implement the new models and compare them with existing models. The results of comparing the proposed model with the existing ones in the literature show the superiority of the proposed model.

Paying attention to the growth of organizations, in line with sustainable development of the countries, has always been one of the policies of the managers of all organizations among which are banks. An examination of the desirable trend of a bank can only be done by measuring its performance based on standard criteria, comparing that bank with other banks and, finally, ranking them among the banks. In this research, the model of efficiency calculation in data envelopment analysis was used to rank the banks of the country based on CAMEL standard indices. Among the data envelopment analysis models, the modified domain model (RAM) is capable of considering both inputs and outputs simultaneously, presenting a numerical index for efficiency and accepting negative input and output. Thus, the RAM model has been used as the basis for ranking banks in this research. In order to examine and evaluate the performance of the banks, the financial ratios extracted from the financial statements of banks were used. These ratios were obtained to cover five characteristics of CAMEL, namely, capital adequacy, asset quality, management, profitability and liquidity. According to the results of the research, five banks, Karafarin, Dey, Sina and Pasargad banks, were the most efficient among the 12 selected banks.

Investing in the stock market has always been a key issue that how liquid assets are specialized among stocks of the companies to meet the interests of the investor. This research is tried to help investors to choose portfolio optimization more effectively by offering two new approaches .The approach of using cross-efficiency table instead of stock return is presented as the basis to solve the model of the minimum mean of absolute deviations from the average, in which financial indicators were used as initial data to form the portfolio. Another approach is a two-stage algorithm in which the requirement for segmentation of the market to various industries has been considered when using financial indicators. Finally, sharp criteria shows that there is a significant difference between the proposed approaches and the current methods. The results show that these two approaches are more suitable than similar ones.