Data Envelopment Analyses
mohammad reza mozaffari; Fatemeh Dadkhah; Mehdi Abbasi
Abstract
Purpose: The purpose of this paper is to present fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets by solving them. It is considerable that to find targets of decision making units (DMUs) in data envelopment analysis, usually the required ...
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Purpose: The purpose of this paper is to present fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets by solving them. It is considerable that to find targets of decision making units (DMUs) in data envelopment analysis, usually the required exact data and information are not available. In this situation using mathematical models with fuzzy parameters and decision making variables can be useful. Also, by using value efficiency analysis, the opinions of manager can be considered in determining DMU targets.Methodology: Here, the linear programming models which all parameters and decision variables are triangular fuzzy numbers are defined as fully fuzzy linear programming. Each proposed full fuzzy model is converted to a triple objective non-fuzzy linear programming model and solved by the lexicographic method.Findings: Research project targets in a university of Iran were determined by creating and solving proposed mathematical models.Originality/Value: To present and solve fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets are the innovations of this research. It is considerable that presenting the results as fuzzy numbers can be applied to evaluate DMUs.
Decisions in new businesses
Seyedeh Arefeh Mousavi Arab; Mahdi Homayounfar; Mehdi Ajalli
Abstract
Purpose: Today, with the development of e-commerce, society is experiencing a business revolution. E-commerce gradually has been accepted more and more and changed people’s lives. The aim of this research is to determine to the critical performance criteria in balanced evaluation of Iranian online ...
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Purpose: Today, with the development of e-commerce, society is experiencing a business revolution. E-commerce gradually has been accepted more and more and changed people’s lives. The aim of this research is to determine to the critical performance criteria in balanced evaluation of Iranian online B2C business stores using a hybrid Balanced Scorecard (BSC) and multi criteria decision making (Fuzzy ANP and Fuzzy WASPAS) approach.Methodology: Considering research objective, it’s an applied research, regarding method it’s descriptive and based on analysis method, it’s a quantitative- mathematical modeling study. The statistical population of this study includes owners of online businesses in Rasht city.Findings: After reviewing the literature and identifying online stores’ evaluation criteria, these criteria were classified based on the four perspectives of BSC. Next, the importance of the criteria was determined using the Fuzzy Analytical Network Process (ANP) technique, among which operation management (0.15848), sales (0.14957), market share (0.13710), customer satisfaction (0.12409) and customer relationship management (0.10527) are the most important criteria, respectively. Finally, based on the results of evaluating 10 Iranian online stores using Fuzzy WASPAS technique, Digi Kala, Digi Style, and Chareh stores were ranked first to third.Originality/Value: In this research, B2C online store brands were evaluated and ranked with a mixed approach of FANP and FWASPAS and based on the research results, executive and research proposals were presented.
Multi-Attribute Decision Making
ali ebrahimnejad; Morteza Hossein Nataj
Abstract
The extent to which the goals are achieved through the measurement of performance as well as the efficiency and effectiveness of each organization are the principles of organization's dynamism. Therefore, current research has focused on the prioritization of public indicators of performance evaluation ...
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The extent to which the goals are achieved through the measurement of performance as well as the efficiency and effectiveness of each organization are the principles of organization's dynamism. Therefore, current research has focused on the prioritization of public indicators of performance evaluation of Mazandaran province's employee through the fuzzy hierarchy analysis process. Since the evaluation of criteria is essentially subjective and qualitative, it is difficult for experts and decision-makers to express their judgments and preferences in terms of exact numerical values. Hence, the fuzzy hierarchical process analysis process, based on the concept of fuzzy theory, is used in this research. In this method, paired comparisons are performed based on linguistic words and fuzzy numbers. Accordingly,, the fuzzy pair comparisons were designed and sub-indices and were distributed to completion between experts. Then, using the Fuzzy Analytical Hierarchy Process and Expert Choice software, the fuzzy weights of each of the indices and sub-indices were determined and compared using one of the effective methods for ranking fuzzy quantities. The results show that among the general indicators of employee performance evaluation, the index of initiative and creativity was the first priority
Robust optimization
Masomeh Hoseinpour; Alireza Fakharzadeh Jahromi
Abstract
In recent decades, the theory of robust optimization has been introduced as a powerful tool for optimizing uncertain processes. Regarding the Uncertainty of the glycemic load of consumed food, the main purpose of this article is to provide an optimal Iranian diet using a robust optimization to adjust ...
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In recent decades, the theory of robust optimization has been introduced as a powerful tool for optimizing uncertain processes. Regarding the Uncertainty of the glycemic load of consumed food, the main purpose of this article is to provide an optimal Iranian diet using a robust optimization to adjust the glycemic load in patients with type 2 diabetes. Diabetes type 2 is a devastating disease, in addition to cardiovascular disease, infectious and kidney diseases, causes insulin resistance and cancer and drugs of cholesterol-lowering have an increased risk of cardiovascular complications and incidence of cancer. Indeed, adjustment of nutrition is important to prevent and control or reduce the complications of diabetes. In this paper, due to the uncertainty of the glycemic load of foods, with collecting necessary nutritional information, the Iranian diet model is determined and analyzed by a robust optimization method. According to this, 75 cases of food (42 Iranian food, 10 Foodstuffs for breakfast, 20 types of fruits and fruit juices and 3 types of dairy products) have been studied locally. The benefits of this model are the ability to adapt according to the person's tastes and opinion of the nutritionist with minimizing changes for the current diet of the individual.
Data Envelopment Analyses
mohammad mehdi tavakoli; hadi shirooye zad
Abstract
Due to the increasing complexity of the world, the decision making process for decision-makers has been many complexities and one of the factors that its measurement for organizations is of tremendous importance is the measurement of the organizational efficiency, because through which they can decide ...
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Due to the increasing complexity of the world, the decision making process for decision-makers has been many complexities and one of the factors that its measurement for organizations is of tremendous importance is the measurement of the organizational efficiency, because through which they can decide their status towards the future process and to create a relative advantage. One of the methods used to assess productivity is data envelopment analysis, which in this technique is also a different method for assessing the efficiency that each has a certain logic and creates different results that make the decision process difficult. For this purpose, in this study, we will provide a method for combining various methods of data envelopment analysis, and in order to evaluate the efficiency of the decision-making units by using Shannon entropy method and linear allocation to combine the results.
Forecasting Models/ Time Series
Reza Raei; Saeed Bajalan; Zahra Saedi
Abstract
Purpose: In this research, the effect of scale-time volatility of assets (currency, stocks and housing) on the efficiency of the banking network in the period 1399: 4-1388: 1 has been studied quarterly using the Markov switching model.Methodology: In this study, we first calculate the efficiency of the ...
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Purpose: In this research, the effect of scale-time volatility of assets (currency, stocks and housing) on the efficiency of the banking network in the period 1399: 4-1388: 1 has been studied quarterly using the Markov switching model.Methodology: In this study, we first calculate the efficiency of the bank network using the data envelopment analysis model with bootstrap data. Then, the volatility of asset market (exchange rate, stock market index and housing price index) extracted using the wavelet conversion pattern and examines the impact of volatility of asset market on the efficiency of the country's banking network in the form of the Markov switching model and observing their effect on different levels of efficiency.Findings: The average efficiency of the country's banking network in the study period has been about 56.1%, which indicates that efficiency has not been appropriate. The short-term volatility of the exchange rate in the state that the efficiency of the bank network and the high regime has a negative and significant effect, but if the long-term exchange volatility, regardless of the regime and the level of banking network efficiency, has a negative and significant effect. The short-term volatility of the stock market index have had a positive and significant effect on the level of low banking network efficiency. But if volatility are continued in the stock market, regardless of the level and regime, the efficiency of the banking network has a negative and significant effect. The short-term volatility in the housing market have had a positive and significant effect on the level of bank network efficiency but in the opposite side of the long-term volatility in this market and in a high level of bank network efficiency, it can lead to significant reductions. Therefore, by stabilizing the economy (lack of large exchange rate, stock index and housing), it can be expected to improve the efficiency of the country's banking network due to its level and regime.Originality/Value: One of the issues that can be important in policy making perspective is to consider the impact of volatility of assets market in different time periods on different levels of banking network efficiency. Because they may have a different impact on different levels of bank network efficiency as well as different periods of volatility of assets market.
Multi-Attribute Decision Making
parisa bolhasani; ayda esmaili dooki; mohammad fallah
Abstract
The continuous quality improvement is a critical to compete in domestic and international markets has become. Tooling companies are not exempt from this and because productive relationship with major industries such as oil companies and power plants are forced to adhere to a high standard. In this study ...
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The continuous quality improvement is a critical to compete in domestic and international markets has become. Tooling companies are not exempt from this and because productive relationship with major industries such as oil companies and power plants are forced to adhere to a high standard. In this study presented a combination approach from FMEA and FAHP techniques. According to the experts to decide and identify products by their critical A suitable priority of the equipment with the aim of building a closer and more effective plan to be presented. Finally, the review of AzarAb one of the country's most important infrastructure projects As a case study, the efficiency and effectiveness of the proposed method is confirmed. The results are ranked in terms of priority indicators in FAHP method and accuracy with expert opinion and the decision is very high compliance, MSE Index also indicates that the results of this point.
supply chain management analyzing/modelling
Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition ...
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Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance.Methodology: To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor.Findings: Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain.Originality/Value: This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions.
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.
Financial modeling
Meisam Kaviani
Abstract
The present research is aimed at predicting the beta coefficient (systematic risk) prediction dynamics within the framework of two macroeconomic structural models, the model in the context of dynamic stochastic general equilibrium (DSGE) and Panel Vector Autoregressive (PVAR) with the inclusion of financial ...
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The present research is aimed at predicting the beta coefficient (systematic risk) prediction dynamics within the framework of two macroeconomic structural models, the model in the context of dynamic stochastic general equilibrium (DSGE) and Panel Vector Autoregressive (PVAR) with the inclusion of financial data of companies and Some of the facts observed in the Iranian economy during the 15-year period (2002-2016). The results of the research show that economic shocks affect the beta coefficient of the stock. Also, in three approaches to predict stock beta coefficient, the VAR model has a lower error than the DSGE model. Finally, by comparing the moments of the present variables in the DSGE model and the real data of Iran's real moments, it shows the relative success of this model in the realities of Iran's economy.
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.
supply chain management analyzing/modelling
Parisa Bolhasani; Mohammad Fallah; Reza Tavakkoli-Moghaddam; Akbar Alam Tabriz
Abstract
Purpose: Increasing the population, followed by increasing human needs and problems related to transportation, has led managers to seek for solutions by the goal of increasing economic profitability and reducing costs. Therefore, in this study, a set of location decisions, vehicle routing and inventory ...
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Purpose: Increasing the population, followed by increasing human needs and problems related to transportation, has led managers to seek for solutions by the goal of increasing economic profitability and reducing costs. Therefore, in this study, a set of location decisions, vehicle routing and inventory management has been used as the main tools to face with these problems.Methodology: model has been solved and validated by Gams software using Epsilon method in small scale. Since this is one of the NP-Hard problems, meta-heuristic algorithms, MOPSO, MOFF, MOIWO, NSGA-II have been used to solve large-scale problems.Finding: The results of all comparative criteria show the superiority of the MOIWO algorithm over other algorithms and the appropriate efficiency of these methods in solving the mathematical model, especially in high dimensions and short times.Originality / Value: In this study, the design of hazardous materials transportation network is considered by considering the decisions related to location, routing, inventory. For this purpose, a new multi-objective mathematical model with the objectives of minimizing cost, minimizing travel time and maximum social responsibility is presented. This mathematical model can be used in different areas and different dimensions.
supply chain management analyzing/modelling
Amir Rahimi; Faranak Hosseinzadeh Saljooghi
Abstract
In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, ...
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In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, the evaluation of SSCM is an important task for all types of organizations. Among the methods of evaluation SSCM, it seems that data envelopment analysis (DEA) is an appropriate approach. Some of decision-making units composed of several sections or stages that make a network of sub-processes. In order to evaluate such units, data envelopment analysis (DEA) is applied. This paper presents two approaches to calculate supply chain management as a network process. In the first approach, we consider the generalization of weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as single-objective approach. In the second one, we introduce the weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as multi-minded approach, so we try to make it to be single-objective approach and then calculate the efficiency of its total production process, according to the decision-maker's ideas and interests. In the next section of this paper according to the two above approaches, we determine the percent of returns to scale (RTS) of supply chain. Suggested ideas are used to evaluate the efficiency and returns to scale (RTS) of supply chain in resin production companies.
Location Modeling
Reza Hasan Zadeh; Shirin Alizade
Abstract
Crises are the inevitable realities of human life; which is an accident that occurs naturally or suddenly or increasingly by human and to address it, there is a need for urgent and fundamental measures.When the crisis occurs, pre-determined storage locations will play an important role in relief; therefore, ...
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Crises are the inevitable realities of human life; which is an accident that occurs naturally or suddenly or increasingly by human and to address it, there is a need for urgent and fundamental measures.When the crisis occurs, pre-determined storage locations will play an important role in relief; therefore, the selection of suitable places for warehouses is one of our main goals in this research. In this research, a bi-objective linear programing model with integer variables is developed. The proposed model attempt to minimize total cost along with maximizing the minimum weight of open shelter areas while deciding on the location of shelter areas, the assigned population points to each open shelter area and controls the utilization of open shelter areas. In order to solve proposed model, some of well-known multi-objective, exact methods includes a weighted sum method, LP-metric method, and goal programing approach are employed.Finally, the best open shelter areas with considering the minimum cost is obtained, which these results can be useful for crisis organizations.
Fuzzy Optimization
Shokouh Sargolzaei; Faranak Hosseinzadeh Saljooghi; Hadi Aghayari
Abstract
Since much of human reasoning is based on imprecise, vague and subjective values, most of the decision-making processing, in reality, requires handling and evaluation of fuzzy numbers. Ranking fuzzy numbers are one of the very important research topics in fuzzy set theory because it is a base of decision-making ...
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Since much of human reasoning is based on imprecise, vague and subjective values, most of the decision-making processing, in reality, requires handling and evaluation of fuzzy numbers. Ranking fuzzy numbers are one of the very important research topics in fuzzy set theory because it is a base of decision-making in applications. Although so far, many methods for ranking of fuzzy numbers have been discussed broadly, most of them contained some shortcomings, such as the requirement of complicated calculations, inconstancy with human intuition and indiscrimination. In this paper, we introduce a new method by using the affine combination on the circumcenter. This method ranks various types of fuzzy numbers which include normal, generalized trapezoidal, and triangular fuzzy numbers along with crisp numbers with the particularity that crisp numbers are to be considered particular cases of fuzzy numbers. The advantages of the new proposed are that it can be applied for most of the defuzzification and the calculation is far simple and easy than previous methods. The effectiveness of the proposed method and its advantages is demonstrated by numerical examples, comprehensive comparing the different ranking method with this method and also its benefits will be illustrated by the numerical example, as well as a case study on supply chain management.
Data mining and related topics
Ramin Safa; Peyman Bayat; Leila Moghtader
Abstract
Purpose: While diagnosing mental disorders in traditional approaches relies on questionnaires, interviews, and clinical trials, automated screening tools can take a shorter path. These tools can be developed as innovative evaluation techniques, decision support systems, and prevention strategies to help ...
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Purpose: While diagnosing mental disorders in traditional approaches relies on questionnaires, interviews, and clinical trials, automated screening tools can take a shorter path. These tools can be developed as innovative evaluation techniques, decision support systems, and prevention strategies to help susceptible individuals. Due to the tendency of people to share thoughts and feelings on social platforms, microblogging data contains valuable information that can be analyzed to identify users’ mental states. This study describes a roadmap for data analysis in the field in question.Methodology: In the first part of this paper, concepts such as electronic mental health and microblogging platforms are introduced. And their conceptual relationship is discussed by providing explanations about data science and social data analysis. Next, the prediction of disorder in social platforms is described separately. Finally, by reviewing related works and open issues, we explain how data collection, pre-processing, and analysis are done using different features of real-world data.Findings: By experimental analysis, this study shows that the extracted features from the users’ profiles have a significant effect on predicting mental health symptoms, and even with the information extracted from the users’ public profiles, the mental state can be predicted with reasonable accuracy.Originality/Value: In this study, automatic analysis of social data to investigate the psychological signals is described, and in the implementation section, it is founded that the symptoms can be followed in almost all the studied features.
Data Envelopment Analyses
Azizollah Nosrat; Gholamreza Roozbehi
Abstract
Determining the efficiency of each system for scheduling is one of the requirements of that system. Data envelopment analysis models are often used to determine the performance of systems. In this paper, the simplest and most practical two-stage systems are introduced as the basic two-stage system. Then ...
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Determining the efficiency of each system for scheduling is one of the requirements of that system. Data envelopment analysis models are often used to determine the performance of systems. In this paper, the simplest and most practical two-stage systems are introduced as the basic two-stage system. Then the proposed TSDEA models based on the distance function measures are investigated. Subsequently, Russell's idea of non-radial TSDEA models was developed.
Strategic Planing
Mehrnoush Moghimi Kia; Amir Najafi
Abstract
Background and Aim: The present study, with an emphasis on the fundamental and critical importance of the Green Approach in the organization's marketing strategies, is interested in a scientific and practical response to this research question, which "The effect of green marketing strategies on performance ...
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Background and Aim: The present study, with an emphasis on the fundamental and critical importance of the Green Approach in the organization's marketing strategies, is interested in a scientific and practical response to this research question, which "The effect of green marketing strategies on performance through knowledge creation parameters?".Method: The present study is based on descriptive, analytical (correlation) and applied research in the field of green and green marketing in the single-grain company. The statistical population consisted of almost 150 people. Sampling without placement from the finite society and using the Morgan table, studied 90 of the community. Librarian studies, interviews, and the use of a questionnaire designed by the researcher are three methods that the present study has used to collect the information it needs. The "Cronbach Alpha" has applied for measuring the reliability of the instrument. Besides, to test the content's validity of this tool, it is used the opinion of elites related to the subject under study with the literature and theoretical theories.Findings and Conclusion: The results showed that each of the hypotheses is statistically significant, green marketing strategies have a positive and significant effect on the organisation's performance due to knowledge creation parameters, and the impact of each of the elements of the green blend on the strategies of knowledge creation is not the same.
Forecasting Models/ Time Series
Shirin Shoaee; Mohammad Mehdi Gholi Keshmarzi
Abstract
Purpose: Mortality is a dynamic process that completes over time and is a fundamental issue in life insurance, pension fund, health insurance, and in general any issue related to financial planning that deals with the longevity of individuals. Therefore, the accuracy of mathematical models in predicting ...
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Purpose: Mortality is a dynamic process that completes over time and is a fundamental issue in life insurance, pension fund, health insurance, and in general any issue related to financial planning that deals with the longevity of individuals. Therefore, the accuracy of mathematical models in predicting mortality rates is an important challenge. The purpose of this study is to generalize static stochastic mortality models to dynamic stochastic mortality models and to predict mortality rates based on the generalization of stochastic mortality models by the Cox-Ingersoll-Ross (CIR) process and to compare the results with each other.Methodology: In this research, two suggestions are presented: the first idea is to provide a dynamic correction method to increase the prediction accuracy using the CIR process and the second idea is to examine the out-of-sample validation method.Findings: In this study, using the out-of-sample validation method, the force of mortality from the best models selected from the two famous mortality model families (Lee-Carter and Cairns, Blake and Dowd (CBD)) is compared with the results of the generalized model. After estimating the parameters of the studied models and calculating the prediction of the mortality rates, by calculating the mean absolute error and root mean squares error of prediction, it is determined that the generalization of stochastic mortality models by the CIR process performs much better than static mortality models. The Bayesian information criterion also indicates that the use of generalized stochastic mortality models is justified.Originality/Value: In this study, stochastic mortality index models, which include Lee-Carter and Cairns-Blake-Dowd family models, are used and generalized by the CIR process. In this regard, Human Mortality Database (HMD) data is used. But there is no information about our country in this database. Because the French mortality pattern is very close to the Iranian pattern and the life tables of this country (TD 88-90) are used in Iranian insurance applications, the crude death rate of French men in the years 1900-2018 on the ages of 18, 40 and 65 years is used. Using these data and the backtesting method, static mortality models and generalized models with the CIR process are compared.
Data Envelopment Analyses
Hengameh Mohamadinejadrashti; Alireza Amirteimoori; Sohrab Kordrostami; Farhad Hosseinzadeh Lotfi
Abstract
Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the ...
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Purpose: In resource allocation and target setting problems, a central planner decision making from a managerial point of view has a pivotal role, especially in presence of undesirable outputs such as greenhouse gas emissions. In these situations, firms have to incorporate to each other to achieve the goals of the central planner. The existing DEA-based resource allocation models have not considered the influence of managerial effort and technology innovation. In this study, we will use the managerial disposability assumption to reflect the central planner managerial achievement and technology novelty perspective in the process of resource allocation and target setting.Methodology: Using a managerial disposability assumption in this paper offers a solution to a correct and acceptable resource allocation and target setting along with improving the performance of units. To analyze the method presented in this paper, the data of 29 famous international airlines representing the global aviation industry have been selected and studied.Findings: The results of this study show that in this model, decision-making units use managerial disposability assumption in the regulation of undesirable outputs based on the perspective of cooperation strategies to improve their environmental performance. In addition, in this approach increasing the inputs, fixing the amount of the desirable outputs, reducing the amount of undesirable outputs will be allowed. This model ensures that the adjusted decision-making units in the next period, will improve their efficiency after resource allocation and target setting, as well as improving the overall efficiency is observed in the results obtained by this method.Originality/Value: The paper presents a new approach of resource allocation and target setting based on data envelopment analysis which considers the impact of managerial effort and technology innovation on resource allocation and target setting problems.
stochastic/Probabilistic/fuzzy/dynamic modeling
Mehdi Khajezadeh Dezfoli; Mansour Momeni; Hanan Amoozad Mahdirji; Mohammad Hosein Pourkazemi
Abstract
Purpose: The main theory governing the valuation of futures contracts is the Storage Theory, in which the concept of Convenience Yield is the most important factor involved in contract pricing. Convenience Yield is a factor that complicates the process of valuing futures contracts. Trying to determine ...
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Purpose: The main theory governing the valuation of futures contracts is the Storage Theory, in which the concept of Convenience Yield is the most important factor involved in contract pricing. Convenience Yield is a factor that complicates the process of valuing futures contracts. Trying to determine the best trading position in futures contracts with different underlying assets and with different maturities is the goal of this article. In this article, using the theory of storage and the concept of welfare fruits and using the method of dynamic random control, a model for selecting the optimal trading position in futures contracts of consumer goods in both single and double goods is presented.Methodology: In this article, the theory of storage and the concept of Convenience Yield are used. Also, by using the dynamic stochastic control method, a model for choosing the optimal trading position in the futures contracts of consumer goods is expressed in two modes of single commodity and dual commodity.Findings: The results of the implementation of the model in the Iranian Commodity Exchange market show that the model in the single commodity mode has been able to fully identify the correct trading position and in the two commodity mode has been 91.7% successful.Originality/Value: Presenting a model to determine the optimal trading position based on Storage Theory and the existence of two stochastic factors of Convenience Yield and stock price using dynamic stochastic control method in single and multi-commodity mode in a specific investment horizon on consumer goods is the most important innovation.
Optimization in science and engineering
Leila Hasan-Beigi Dashtbayaz; Isa Nakhai Kamalabadi; Ali Husseinzadeh Kashan; Sakine Beigi
Abstract
Purpose: In CNC machines, changes in machining conditions such as speed and feed rate will also change the operating time. Changes in these conditions also result in changes in the production cycle time and production costs. Tool life is also sensitive to these changes. Appropriate machining time is ...
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Purpose: In CNC machines, changes in machining conditions such as speed and feed rate will also change the operating time. Changes in these conditions also result in changes in the production cycle time and production costs. Tool life is also sensitive to these changes. Appropriate machining time is generally determined by assuming a certain lifetime for CNC machine tools to minimize production costs. However, minimizing costs usually results in increased machining time and lower output rates.Methodology: In this research, the optimal machining time is determined using a bi-objective model including minimizing the cost and total production time of a robotic cell with a CNC machine and a material handling robot. It has assumed that identical productions are produced in this robotic cell. Using the Epsilon constraint method, the proposed model is coded in GAMS software and its results are reported.Findings: In this research, the lifespan of the CNC machine tools can be considered as a determined or probable value. The results showed that decreasing the operation time at different speeds does not necessarily impose the same cost on the system. Therefore, it is necessary to be more careful in choosing the appropriate machining time for different tools and parts. Paying attention to the rate of suddenly tool breakdowns is also important in choosing the appropriate time for machining. Using a set of non-dominated solutions, it is possible to determine the appropriate machining time in different parts to achieve a suitable level of problem objectives.Originality/Value: In this research, for the first time, the failure rate of the tool as one of the cost factors in the robotic cell has been added to the cost function of a production cycle and its effect on determining the appropriate machining time has been investigated.
Multi-Attribute Decision Making
Seyyed Ali Delbari; Alireza Davoodi; Niloofar Firozeh
Abstract
Purpose: The purpose of this research is to identify and prioritize international markets entry strategies in plastics industry.Methodology: The research method of the study is explorative-descriptive and its statistical population includes managers and officers working in small and medium-sized enterprises ...
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Purpose: The purpose of this research is to identify and prioritize international markets entry strategies in plastics industry.Methodology: The research method of the study is explorative-descriptive and its statistical population includes managers and officers working in small and medium-sized enterprises in the plastic industry, which are the members of the Bojnord Chamber of Commerce, Industries, and Mines. The sampling method of the study consists of snowballing sampling and purposive sampling, and the sample size is equal to 19 experts. Data collection instrument was questionnaire, which its validity and reliability were confirmed using content validity ratio and inconsistency ratio mechanism, respectively. To analyze data, Analytic Hierarchy Process (AHP) technique was used.Findings: The findings indicate that international markets entry strategies in plastics industry consists of seven strategies, including export, license, management contract, contract manufacturing, turnkey operation, foreign direct investment and strategic alliances, and criteria to select these strategies include four categories of factors related to host country, factors related to product, factors related to company, and factors related to home country. Furthermore, the research findings indicate that the most important criterion to select international markets entry strategies is factors related to company and the best international markets entry strategy is export.Originality/Value: The findings of this research help managers to evaluate, prioritize, and select international markets entry strategies using AHP technique in an effective and efficient manner.
Financial Marketing Strategies
Mojtaba Bordbar; Zabihallah Khani; Hossein Rajabdorri
Abstract
Purpose: The purpose of this study is to survey the relationship between the conflict of interest and ethical decision making in auditors with the moderate role of ethical judgment with a combination of social cognitive theory and throughput model of decision-making. Social cognition theory refers to ...
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Purpose: The purpose of this study is to survey the relationship between the conflict of interest and ethical decision making in auditors with the moderate role of ethical judgment with a combination of social cognitive theory and throughput model of decision-making. Social cognition theory refers to environmental effects on individuals. The throughput model of decision-making also examines the factors influencing decision-making.Methodology: In this study, by combining the mentioned approaches and using the "stimulus-organism-response" model, the research topic was investigated. This research is an applied and descriptive-correlational study and its population include various auditors in the country, 170 of whom were selected using simple random sampling in 2020. Structural equation analysis and Smart PLS software were used to test the hypotheses.Findings: Findings showed that there is a negative and significant relationship (40%) between the conflict of interest and moral decision making. Also, increasing conflict of interest reduces moral judgment (50%) and decreasing moral judgment reduces the level of moral decision-making (51%). In general, there is a negative relationship between conflict of interest and moral decision-making, which is reduced in the presence of moral judgment, due to its positive effect on moral decision-making.Originality/Value: Research findings confirm the importance of psychological and behavioral factors should be given more attention.
Optimal Control
iman zabbah; Ali Maroosi; Abolfazl Noghandi; zahra Abbasi
Abstract
Optimizing the quality of lime, while using the energy system in the lime baking oven is a great service. Since lime baking is always allowed, you can easily control it. The purpose of this study was to predict the quality of lime during the manufacturing process in a lime baking oven and adjust the ...
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Optimizing the quality of lime, while using the energy system in the lime baking oven is a great service. Since lime baking is always allowed, you can easily control it. The purpose of this study was to predict the quality of lime during the manufacturing process in a lime baking oven and adjust the parameters provided before service delivery. The system variables presented in this study include: input tonnage and parameters of each round. Improper adjustment of these parameters will result in increased fuel consumption, resulting in poor quality lime production. Accordingly, in this paper, artificial neural networks as well as fuzzy neural networks have been used as predictive tools to predict the quality of lime produced during the baking process. These parameters are feeder, idle furnace, preheater, air conditioner, furnace, time and fuel consumption and output of the produced lime quality model. Modeling in matlab software (matlab2017) was performed using 472 samples with 8 properties. Eighty percent of the samples were used for training and 20% for testing. At the end of modeling, artificial neural networks error 0.066 and fuzzy neural network error 0.054 were obtained.