taher kouchaki tajani; Ali Mohtashami; maghsoud Amiri; Reza Ehtesham Rasi
Abstract
in this paper we have proposed a model based on Mixed Integer Non-Linear Programming for the blood supply chain under conditions of uncertainty in supply and demand, from the stage of receiving blood from volunteers to the moment of distribution in demand centers. The challenges addressed in this optimization ...
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in this paper we have proposed a model based on Mixed Integer Non-Linear Programming for the blood supply chain under conditions of uncertainty in supply and demand, from the stage of receiving blood from volunteers to the moment of distribution in demand centers. The challenges addressed in this optimization model are the reduction of blood supply chain costs along with minimizing the shortage and expiration rate of blood products. The Markov chain has been used to address the uncertainty of donor blood supply. And to estimate the needs of medical centers, the received demand is considered fuzzy. Then The proposed model is solved in small dimensions by GAMS software and in large dimensions by Bat and Whale meta-heuristic algorithms and the results are presented. In addition, a case study is presented to show the applicability of the proposed model. The results show a reduction in the level of costs as well as a reduction in the shortage and expiration of blood products in the supply chain.
Mohammad Taghi Taghavifard
Abstract
Nowadays, customers are the most important sources of income for financial institutions and banks. According to the privatization process in the country and financial restrictions of banks, it is necessary to maintain and attract more profitable customers. Though, one of the most important methods to ...
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Nowadays, customers are the most important sources of income for financial institutions and banks. According to the privatization process in the country and financial restrictions of banks, it is necessary to maintain and attract more profitable customers. Though, one of the most important methods to identify profitable customers is the concept of customer lifetime value (CLV) but it is more important to estimate customers’ future conditions because a bank`s future profitability highly depends on the customers situation.In this research, the issues about CLV, the necessity and different classification methods are presented. Then, considering weighting variables using Recency, Frequency, and Monetary (RFM) model, AHP technique, and experts opinion, customers are classified. Using Markov chain and probability matrix, the displacement of customers in different groups and their future status are predicted.One of the major outcomes of this research is the calculation of profitability matrix to predict customers’ displacement in different groups. The probability matrix can also show the reluctance of large number of customers to move to the specified groups (the highest percentage of customers in the main diameter of the probability matrix). In this research, we observed that account balance (M) has the greatest impact on customers grouping and that the number of transactions (F) and recency variable (R) are ranked as the second and third impact factors. Also, the determination coefficient (C) is another result of the research. Finally, the presented research used financial information and proposed a mathematical model (Markov chain) to calculate the probability of customers’ displacement (switching from one group to another). The proposed model can be helpful to facilitate customer relationship management process in the banking system.
Seyyed Hossein Abtahi; Ahmad Hasani Kakhaki
Volume 4, Issue 12 , March 2006, , Pages 163-182
Abstract
Forecasting is a base of any planning method especially human resource planning. One of the most important problems of organizations is human resource and personnel's problems. Accompanied by advance in the human societies and therefore complication in organizations, these subjects create opportunities ...
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Forecasting is a base of any planning method especially human resource planning. One of the most important problems of organizations is human resource and personnel's problems. Accompanied by advance in the human societies and therefore complication in organizations, these subjects create opportunities and challenges for managers. A proper human resource planning can increase job satisfaction, promote quality and favorites of manpower and decrease staffing cost. Nowadays quantitative and qualities tools and methods are existent that utilize for human resource planning. This article is a research in tree dependent's firm of holding Software Company that applies one of most common method in planning. For estimate human resource needs in future stage, using tree previous year information that confine in six stages and duration of any stage is six month. Markov chain analyze is a method that use for estimate human resource in four job categories. Content scope in this research is human resource issues.
