List of Articles Fuzzy Network Analysis Process

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  1 - A novel method for selecting optimum maintenance strategy using Fuzzy Analytic Network Process and Fuzzy Multi-Choice Programming approach
  Iman Zohreie Ali Mohtashami
  Maintenance systems are critical to achieving the goals of the organization. The main purpose of these systems is to optimize machinery's ability to maximize production and reduce its erosion and malfunction. Accordingly, one of the main concerns of managers in companie More

  Maintenance systems are critical to achieving the goals of the organization. The main purpose of these systems is to optimize machinery's ability to maximize production and reduce its erosion and malfunction. Accordingly, one of the main concerns of managers in companies is selecting the appropriate strategy for maintenance of equipment and machinery. This research presents novel method for selecting optimal maintenance strategy based on Fuzzy Analytical Network Process and Fuzzy Multi-Choice Goal Programming. The method of calculating the fuzzy weights of elements is explained by FANP method and then by de-fuzzy obtained weights and writing the ideals and the objective function and applying the FMCGP approach maintenance strategies will be prioritized. Finally, in the form of a case study, the optimal maintenance strategy among Preventive Maintenance, Reliability base maintenance, Condition base maintenance, Time base maintenance, corrective maintenance and Design-out maintenance for the four selected machines in Mashhad Milk Powder Company is considered. In this regard, by literature review six criteria and thirty sub-criteria has been taken and paired comparison questionnaire was distributed among the ten experts and their views were aggregated and geometric mean was taken from them, and by the FANP approach, the weight of the elements are calculated. Since the weight of the criteria is obtained from FANP method, then the general score of the problem is obtained by solving FMCGP. The present research can provide a comprehensive view of decision makers, especially maintenance managers, and assist them in selecting optimal maintenance strategy. Manuscript profile
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  2 - Identifying and Prioritizing the Factors Affecting the Implementation of Reverse Logistics in Iran’s Automotive Industry with Fuzzy Analytical Network Process Approach
  Maghsood Amiri Marziyeh Bagheri Hedi Dehnad
  Today reverse logistics has become one of the most challenging issues in the areas of the automotive supply chain. Therefore, understanding the factors that influence the implementation of reverse logistics is important. We can point to the reasons why organizations pay More

  Today reverse logistics has become one of the most challenging issues in the areas of the automotive supply chain. Therefore, understanding the factors that influence the implementation of reverse logistics is important. We can point to the reasons why organizations pay attention to this subject: Competitive incentives, direct economic incentives, and environmental reasons. In many cases, there are certain rules and regulations in the areas returns that have forced the organizations to pay more attention to this sector. In this research, we determined primary criterions with collecting determined criterions of previous studies and also taking experts’ opinions which consists 3 economical, environmental and social criterions and 19 sub criterions. Then these factors were given to experts in the form of a questionnaire. The collected data were analyzed with the confirmatory factor analysis method. Finally, a number of factors have been removed and the final factors remained. In order to rank the factors, these factors were given to experts in the form of ANP (Network Analysis Process) questionnaire again. Then we used fuzzy ANP method for measuring interdependencies and criterions ranking. Manuscript profile
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  3 - Development of Compound Model for Warehouse Location Using Fuzzy Weighted Average based on the Left and Right Scores and Fuzzy Case Series
  Jalal Rezaeenour Mona Torabi Nahid Babaie
  Today reverse logistics has become one of the most challenging issues in the areas of the automotive supply chain. Therefore, understanding the factors that influence the implementation of reverse logistics is important. We can point to the reasons why organizations pay More

  Today reverse logistics has become one of the most challenging issues in the areas of the automotive supply chain. Therefore, understanding the factors that influence the implementation of reverse logistics is important. We can point to the reasons why organizations pay attention to this subject: Competitive incentives, direct economic incentives, and environmental reasons. In many cases, there are certain rules and regulations in the areas returns that have forced the organizations to pay more attention to this sector. In this research, we determined primary criterions with collecting determined criterions of previous studies and also taking experts’ opinions which consists 3 economical, environmental and social criterions and 19 sub criterions. Then these factors were given to experts in the form of a questionnaire. The collected data were analyzed with the confirmatory factor analysis method. Finally, a number of factors have been removed and the final factors remained. In order to rank the factors, these factors were given to experts in the form of ANP (Network Analysis Process) questionnaire again. Then we used fuzzy ANP method for measuring interdependencies and criterions ranking. Manuscript profile
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  4 - Providing a Risky Investment Model in the Insurance Industry based on the Fuzzy Network Analysis Process
  Yazdan Gudarzi Farahani Hossein Abbasinejad Elnaz Hasani Parsa
  10.30495/fomj.2023.1988473.1094
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  5 - ارائه چارچوب طراحی زنجیره تامین سبز برای صنعت فولاد با نگرش استراتژیک (مورد مطالعه:استان گیلان)
  سیروس بالایی نبی الله محمدی هما درودی
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  6 - Financial Risk Management in the automotive in Dustry With a Fuzzy network analy sis approach
  ali fadaei abutorab alirezaee gholamreza hashemzadeh kiamars fathihafshjani
  The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical popu More

  The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical population of the present study is the managers and specialists of irankhodro and saipa companies. The tools used in this study to collect data and in formation through a questionnaire and the opinions of experts and experts in the automotive industry have been used. The community of experts consists of 25 experts and the technique of fuzzy network analysis process has been used to analyze the data. Bby analyzing the data in the fuzzy network analysis process technique, it was found thet among the 13 identified variables affecting financial risk in the automotive in dusstry,liquidity risk is the criterion . which is the most effective among financial risks and is in the first place and has the highest priority. And bel0w the criterion of forecasting market demand and structural changes in the econpmy and the complex competition of domestic markets, respective ,have the highest priority. Manuscript profile
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  7 - The use of F.MCDM Combined to Improve the Performance of Stock Selection In the Stock Exchange (Case Study: Cement Industry)
  zohreh zia Zahra Pourzamani
  The goal of any investor in the stock exchange is is to maximize returns with stock selection reasonably. In fact, the main concern of investors in the stock exchange is the stock selection or portfolio that are appropriate in profitability. The issue of stock selection More

  The goal of any investor in the stock exchange is is to maximize returns with stock selection reasonably. In fact, the main concern of investors in the stock exchange is the stock selection or portfolio that are appropriate in profitability. The issue of stock selection involves creating a portfolio that maximize the utility of the investor. Therefore, in this study was investigated the use of F.MCDM combined to improve the performance of stock selection in the stock exchange in Cement Industry. The population of audit organization consisted of the experts of the study area and fully aware of the stocks who were selected through the convenience judgmental sampling in the two groups. In the first group, there were 20 top managers and senior experts of the organization who were chosen to localize the model and due to the specialized nature of the subject and the limitations to identify the experts, and in the second group, there were 6 experts as a statistical sample. It is a analytical and field study and an applied one regarding target. For this purpose, first the criteria identified by studying the scientific literature, and their validity was confirmed by university professors. The results are based on the fuzzy DEMATEL method indicated that "risk" is regarded as the most influential and "profitability" as the most impressible factor. Also, the results of the Fuzzy Network process analysis technique demonstrated that profitability is considered as the main criterion in improving the performance of stock selection in the stock exchange, especially in the cement industry, and factors such as market cluster, growth rate and risk factor are ranked respectively in the next. Eventually, based on the results obtained, some suggestions have been presented for managers and experts in the stock exchange. Manuscript profile