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      • Open Access Article

        1 - A dairy Products Green Supply Chain model with Emphasis on Customer Satisfaction: Combining Interpretive Structural Modeling Approach and Analytical Network Process
        Ali  Yousef Mahdi Homayounfar abdolaziz pagheh amir akhavanfar
        The purpose of this study is to present a green supply chain model for dairy products with emphasis on customer satisfaction. The statistical population of the study consists of university professors and experts in the field of marketing and food and dairy industries of More
        The purpose of this study is to present a green supply chain model for dairy products with emphasis on customer satisfaction. The statistical population of the study consists of university professors and experts in the field of marketing and food and dairy industries of Iran who have been selected by purposive sampling. Sampling continued until the theoretical saturation stage. The value of ICC coefficient was also approved to determine the reliability of the measuring instrument. Finally, 10 questionnaires and interviews with experts were used. The interpretive structural modeling approach is used to present the model and the network analysis process is used to prioritize the criteria. Findings showed that the factor of customer satisfaction in relation to the research topic and the presentation of the green supply chain model of dairy products is more effective In contrast, the factors of green innovation have the most, green entrepreneurship, green performance, internal green actions and external green participation have the most impact and the least impact. Also, the results of Mick Mac analysis showed that 7 factors related to the presentation of the green supply chain pattern of dairy products in terms of permeability and dependence are divided into three categories of infiltrators, dependent and autonomous. Finally, the prioritization of criteria showed that customer satisfaction has the highest weight among the criteria of the green supply chain of dairy products Manuscript profile
      • Open Access Article

        2 - Assessment Model for Implementing a Lean Transformation in Enterprise Based on the Fuzzy Anp, Fuzzy Dematel and Fuzzy Vikor
        Kazem Nasiri Kashani محمود  مدیری gholamreza hashemzade khorasegani
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative More
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative weight of each element on the lean transformation have been considered. Therefore, we try to quantify those relations in this study. So, to structural investigate the relationships among the elements, a model is proposed that presents a novel comprehensive insight to the lean transformation process. This study proposed an analytic modeling approach in the lean enterprise transformation to identify the weights of the elements. The goal is to operationalize the highly qualitative relationships among the lean transformation components. In this paper 32 effective factors in lean enterprise transformation, identified as "sub sub criterion" were grouped into eight categories classified as "sub criterion". These eight sub criteria classified through 3 criteria in the higher level which are “organizational asset development”, “quick adaptation to markets and competitive superiority acquisition” and “supply and distribution network optimization These three criteria were proposed as the major criteria involved in "delivery value maximizing", and ultimately, the value maximizing recognized as the main target of the lean transformation in companies. Fuzzy DEMATEL technique and fuzzy analytic network process modeling are used to determine the relationships and the relative weights of each component and then with fuzzy VIKOR method, 25 identified solutions related to conceptual model were ranked for implementing the lean transformation which regard the organizational purposes and the weights of the end level parameters of the conceptual model in a proposal framework. The present evaluating lean enterprise transformation is a comprehensive model that can be applied to different production industries. This model also was investigated in automative parts industry. Manuscript profile
      • Open Access Article

        3 - Assessment Model for Implementing a Lean Transformation in Enterprise Based on the Fuzzy Anp, Fuzzy Dematel and Fuzzy Vikor
        Kazem Nasiri Kashani محمود  مدیری gholamreza hashemzade khorasegani
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative More
        A lot of methodologies for evaluation of the lean transformation have been proposed in the literature, but just a few of them explicit relations among the components of the lean enterprise transformation, with focusing on the priority and identification of the relative weight of each element on the lean transformation have been considered. Therefore, we try to quantify those relations in this study. So, to structural investigate the relationships among the elements, a model is proposed that presents a novel comprehensive insight to the lean transformation process. This study proposed an analytic modeling approach in the lean enterprise transformation to identify the weights of the elements. The goal is to operationalize the highly qualitative relationships among the lean transformation components. In this paper 32 effective factors in lean enterprise transformation, identified as "sub sub criterion" were grouped into eight categories classified as "sub criterion". These eight sub criteria classified through 3 criteria in the higher level which are “organizational asset development”, “quick adaptation to markets and competitive superiority acquisition” and “supply and distribution network optimization These three criteria were proposed as the major criteria involved in "delivery value maximizing", and ultimately, the value maximizing recognized as the main target of the lean transformation in companies. Fuzzy DEMATEL technique and fuzzy analytic network process modeling are used to determine the relationships and the relative weights of each component and then with fuzzy VIKOR method, 25 identified solutions related to conceptual model were ranked for implementing the lean transformation which regard the organizational purposes and the weights of the end level parameters of the conceptual model in a proposal framework. The present evaluating lean enterprise transformation is a comprehensive model that can be applied to different production industries. This model also was investigated in automative parts industry. Manuscript profile
      • Open Access Article

        4 - Identifying Key Indicators Affecting Educational Needs Assessment through Realizing Organizational Strategies: A Network Analysis Process Method
        Ghasem Khajehvandi Seyed Reza Seyed Javadin Mojtaba  Amiri Kavehmohammad  Cyrus Naser  Sharifi
        The present study attempts to answer the question in terms of the indicators and the criteria affecting the educational needs assessment with the approach of realizing organizational strategies in Abadan Oil Refining Company. Therefore, this study aimed to identify and More
        The present study attempts to answer the question in terms of the indicators and the criteria affecting the educational needs assessment with the approach of realizing organizational strategies in Abadan Oil Refining Company. Therefore, this study aimed to identify and rank the indicators and the criteria affecting the educational needs assessment accordingly. Descriptive research method of Delphi was used in this study. To this end, a field survey was used to identify the effective criteria on educational needs assessment with the approach of realizing organizational strategies. These criteria were provided to 15 experts to be scored based on the research setting. Next, the extracted results yielded six indicators and 33 components. DEMATEL method and network analysis process were used to analyze the data. The results show that managerial factors were the most effective (7.46), and environmental factors were the most affected ones (6.59). The results also showed that environmental factors were the most important (0.240), and structural factors were the least important ones (0.106). Manuscript profile
      • Open Access Article

        5 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
        Yazdan Gudarzi Farahani Amir Mohammadzade Mohsen Mehrara Zulikha  Morsali Aruznaq
        The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial More
        The purpose of this article is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. The insurance industry is one of the strongest and most important supporting institutions of financial institutions, through risk coverage and investment of technical reserves in financial and real assets and the implementation of profitable economic activities, it plays a very important role in the dynamics of financial markets. Creating a decision-making model in a fuzzy environment provides this possibility for decision-makers so that they can more easily comment on the evaluation of options and determining the importance of decision-making criteria. In this article, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance.. Manuscript profile
      • Open Access Article

        6 - Presenting a risky investment model in the insurance industry based on the fuzzy network analysis process
        Amir Mohammadzade Yazdan Gudarzi Farahani مریم  پورفرزام Zulikha  Morsali Aruznaq Mohsen Mehrara
        The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective fact More
        The purpose of this paper is to identify and present a high-risk investment model for insurance institutions in order to establish a risky insurance investment fund. In this paper, it has been tried to identify and introduce the most important factors and effective factors of venture capital (VC) using the technique of fuzzy network analysis process in the insurance industry. The data needed for the research has been collected through in-depth interviews with a number of experts and researchers in the insurance industry, as well as a questionnaire. Due to the lack of independence and the existence of dependence between the effective factors, the method of fuzzy network analysis process was used to identify the possible dependencies between factors and measure them for the development of the VC model, and the results were prioritized with the method of non-fuzzy network analysis process. Is. The findings of the research show that operating cycle indicators, total asset turnover ratio, total investment return, loss factor, asset-liability ratio are ranked first to fifth among VC indicators. VCs help the insurance industry establish internal accounting rules and standardize their financial statements. In other words, VC support modifies the "hard" and "soft" information required for insurance. Manuscript profile