Since cost management is one of the most important tasks of organizations, cost management of inventory control system of ATMs is also one of the most basic tasks of banks. This article seeks to provide a dynamic and optimal model for controlling inventory costs of ATMs More
Since cost management is one of the most important tasks of organizations, cost management of inventory control system of ATMs is also one of the most basic tasks of banks. This article seeks to provide a dynamic and optimal model for controlling inventory costs of ATMs, according to the time and place of each device. Therefore, all data, related to the relevant bank in Tehran, which includes 368 ATMs, was used. Investigating the behavior of devices in the three-month period in 1396 has been done. This model has succeeded in learning the existing pattern in big data by clustering statistical data in place and time dimensions, and based on this, the proposed decision tree is able to predict the number of customers to each device. Then, using the cost function for the obtained scenarios, the system costs are determined. The total cost of the system includes the total hold cost of money, shortage cost and orderig cost for each device. Finally, by providing an optimized inventory control model for each scenario, the total system costs are reduced by an average of 16.5 percent, or 38 million tomans per month.
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Demand for after-sales parts companies depends on various parameters and is not always predictable. Mainly basic information for reasons such as poor quality of some parts, there are other competitors in the market and similar items, consequently, the decision and possi More
Demand for after-sales parts companies depends on various parameters and is not always predictable. Mainly basic information for reasons such as poor quality of some parts, there are other competitors in the market and similar items, consequently, the decision and possibly dissatisfaction customers have the kind of ambiguity and uncertainty. So in order to make decisions in such circumstances need for an appropriate model that could at any moment that at any moment can monitor inventory and the actual performance available to provide an appropriate framework. . In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations. In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations.
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Inventory management is an important part of production planning process for enterprises which involve decision-making process. They can determine when and how many things to buy or decisions can be made by ranking the inventory items. The aim of this paper is providing More
Inventory management is an important part of production planning process for enterprises which involve decision-making process. They can determine when and how many things to buy or decisions can be made by ranking the inventory items. The aim of this paper is providing a model based on fuzzy hybrid MCDM methods by using FDEMATEL and FVIKOR in order to Inventory Management. In this study, a fuzzy DEMATEL approach was proposed to determine the weights of the decision criteria and Fuzzy VIKOR method to evaluate and rank the inventory. Concurrently applying fuzzy DEMATEL and FVIKOR to a multi-criteria inventory classification problem is the novelty of this study in the related literature. A real case study at MAPNA Electric & Control, Engineering & Manufacturing Company used to illustrate the efficiency of the proposed approach. Results showed that the proposed framework for inventory management is effective. Finally, some conclusions and suggestions are provided at the end of this study.
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Proper management and better control of inventory of food items are one of the most essential and important objectives of food store managers. The store inventory management to improve performance, increase customer service and reduce the deficit in the following days w More
Proper management and better control of inventory of food items are one of the most essential and important objectives of food store managers. The store inventory management to improve performance, increase customer service and reduce the deficit in the following days will be. The purpose of this paper is to provide a prediction model for demanding meat products from Gorgan ETKA chain stores in order to improve inventory performance. In this study, the ANNmlp model has been used to predict the meat market demand of this store and is also compared with ARIMA and 14-day moving average to understand the accuracy of prediction. For this purpose, the code coding of this model was used in MATLAB software and time series data for meat products demand from the beginning of 1392 to the 12th week of 1395, which was received weekly. The results of the research showed that ANN5-8-1 model is the best model for predicting the demand for this product. The prediction model provided by the inventory control period has led to a reduction in the number of days facing the shortage and increased customer service levels.
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