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      • Open Access Article

        1 - Designing a mathematical model for the multi-product green supply chain of automobile industry under uncertainty
        davood khodadadian reza radfar abbas toloieashlaghi
        Today supply chain network is recognized as the main bases in economic activity. Their significance is due to just in time delivery and the efficiency of different commodities including food, clothing, energy, computer hardware. This has stimulated researchers and exper More
        Today supply chain network is recognized as the main bases in economic activity. Their significance is due to just in time delivery and the efficiency of different commodities including food, clothing, energy, computer hardware. This has stimulated researchers and experts to analyze supply chain problems. Meanwhile, uncertainty has penetrated every level of our lives and we encounter it every day. The present paper focuses on green supply chain that consider uncertainty conditions to solve a model for designing a forward green supply network (environmental)under uncertainty of future economic conditions in Iran Khodro Company. The problem of designing the aforementioned network includes hypotheses including multi-commodity, multi-layer and one-period. Due to inconsistent economic conditions, uncertainty has been differently tackled here as compared with previous literature. In this problem, several important parameters have been considered as indefinite including customers’ demands, operating expenses, the productive capacity and relocating capacity of facilities. The proposed model also considers the contamination of production section and the transportation system of the chain and tries to reduce it by suggesting an objective function and Eco-indicator 99 method. As well, production and distribution centers operate in a dual-purpose manner. Saving costs and reducing contamination due to applying transportation supplies and common infrastructures are among the benefits of this method. Considering the complexity of solving this problem and its NP-hard nature, the meta heuristic method of genetic algorithm with non-dominated sorting (NSGAII) was analyzed and finally model performance was examined with a numerical example and solving it with MATLAB and GAMS software.   Manuscript profile
      • Open Access Article

        2 - Ranking of Indicators of Green Supply Chain Management in the Cellulose Industry Using EDAS-SEM Method
        majid nili ahmadabadi omidali adeli ,mohammad cheraghi
        Background and Objective: Cellulose industries are closely related to forests and natural resources, and on the other hand, the chemicals used in them are sometimes transferred to nature. Therefore, they can affect the environment in two ways and therefore have an urgen More
        Background and Objective: Cellulose industries are closely related to forests and natural resources, and on the other hand, the chemicals used in them are sometimes transferred to nature. Therefore, they can affect the environment in two ways and therefore have an urgent need for management with a green approach, especially in the field of supply chain. Achieving this is possible by finding the most effective factors in implementing green supply chain management in this industry, which has been done in this research. In previous similar studies, the weight of the same factors has often been considered, and in addition, the weight of the interviewees has been considered the same when collecting data. In this paper, both problems have been solved by using EDAS-SEM methods and a more valid ranking of the components of green supply chain management in the cellulose industry has been presented.To provide a green supply chain management model in the cellulose industry, including transparent factors and accurate weights so that it can be used to measure the performance of managers in this area and to suggest the most effective factors for future promotion to managers.Material and Methodology: This research is qualitative and survey in how to collect data and quantitative in processing them. In terms of practical purpose and in terms of method, it is mixed. Modeling and analysis methods include entropy, EDAS, SEM. The statistical population is 63 managers of Qom cellulose production industries, for whom a questionnaire was sent in 2019, and 55 were completed. Therefore, sampling method, sample is available. Data collection tool is a questionnaire and data analysis tool is confirmatory factor analysis with partial least squares approach and SmartPLS3 software. Excel was used for entropy and EDAS calculations.Findings: The most important indicators of green supply chain performance in Qom cellulose products industries are selecting suppliers with environmental criteria, determining environmental requirements for purchasing items and auditing compliance with environmental regulations. Also, the weight of managers varies according to the characteristics of the elites. These findings can be generalized to other cellulose industries.Discussion and Conclusion:  The proposed model can be used for a better future in the management of the green supply chain of cellulose industries by evaluating the performance of managers in senior and middle levels at the organizational and unit levels. The achievements of this research can also be used to identify the most important factors at each level and allocate future resources to them.  Manuscript profile
      • Open Access Article

        3 - ارائه یک مدل زنجیره تامین سبز چندهدفه چندکالایی تحت شرایط عدم قطعیت
        داوود خدادادیان رضا رادفر عباس طلوعی اشلاقی
        افزایش آلودگی زیست‌محیطی که موجب گرم شدن کره زمین شده است و برای سلامت انسان و تخریب محیط‌زیست خطرناک است، باعث نگرانی بسیاری از طراحان و مدیران زنجیره تأمین‌شده است. هدف این پژوهش ارائه یک مدل ریاضی برای طراحی خرید، تولید و توزیع در یک شبکه زنجیره تأمین چند سطحی و چند More
        افزایش آلودگی زیست‌محیطی که موجب گرم شدن کره زمین شده است و برای سلامت انسان و تخریب محیط‌زیست خطرناک است، باعث نگرانی بسیاری از طراحان و مدیران زنجیره تأمین‌شده است. هدف این پژوهش ارائه یک مدل ریاضی برای طراحی خرید، تولید و توزیع در یک شبکه زنجیره تأمین چند سطحی و چند محصولی است که تأثیرات زیست‌محیطی و هزینه‌های کلی زنجیره تأمین به حداقل برساند و سطح رضایت مشتری به بالاترین سطح برسد. عدم اطمینان تقاضا به خاطر نامشخص بودن سطح تقاضا به نظر مشکل‌ساز است. با توجه به پیچیدگی مدل ریاضی پیشنهادی و سختی‌های حل مسئله با روش‌های دقیق در اندازه بزرگ، یک NSGA II پیشنهادشده است. برای ارزیابی NSGA II پیشنهادی، 5 نمونه در اندازه‌های مختلف ساخته می‌شود و به‌وسیله روش محدودیت اپسیلون و NSGAII حل می‌شود. بر اساس نتایج به‌دست‌آمده، NSGA II پیشنهادی یک روش قابل‌اطمینان برای یافتن مرزهای پارتویی کارآمد در زمان قابل‌قبول محسوب می‌شود. Manuscript profile
      • Open Access Article

        4 - Evaluation of Knowledge Management Adoption Success in Green Supply Chain: A Fuzzy hybrid expert-oriented multiple criteria decision-making approach
        Fatemeh Zahra Rajabi kafshgar Mehrdad Madhoushi2 Hamidreza Fallah Lajimi3
        Todays, the success of organizations, is directly related to the knowledge that they can generate and distribute, the speed of producing, the amount of accumulation and usage of this knowledge. On the other hand, environmental concerns about manufacturing industries ind More
        Todays, the success of organizations, is directly related to the knowledge that they can generate and distribute, the speed of producing, the amount of accumulation and usage of this knowledge. On the other hand, environmental concerns about manufacturing industries induce organizations to use green practices in various supply chain processes. The successful implementation of knowledge management in the green supply chain improves the efficiency, effectiveness, profitability and competitive advantage of organizations. Since the implementation of knowledge management requires a lot of time and cost, the present study examines the success rate of knowledge management in the green supply chain based on fuzzy decision making. In this paper, after reviewing the literature, five main dimensions including employee attributes, organizational strategy, organizational culture, technological factors and management factors and 25 indicators for assessing the success of knowledge management in the green supply chain are determined. Using the opinions of 10 experts of Farasanat company, 21 indicators of knowledge management success in the green supply chain have been identified and the weight of each index is calculated by using the FDEMATEL method. In the next step, the rank of each index is calculated with by FSAW. Finally, by using the calculated weight and index rank, the success rate of knowledge management implementation in the green supply chain is determined. The results show that Farasanat company has a success rate of 0.72 in implementing knowledge management in the green supply chain. Manuscript profile
      • Open Access Article

        5 - Proposing A Multi-objective Model of Routing and Location in the Green and Sustainable Supply Chain Mode
        Somaieh Alavi Alireza Habibi Ehsan Esfandiari
        In a supply chain network, implementing a sound management system in the process of shipment can lead to lower costs and increase customer satisfaction by improving the flow of products. Therefore, in this study, a multi-objective mathematical model was presented and so More
        In a supply chain network, implementing a sound management system in the process of shipment can lead to lower costs and increase customer satisfaction by improving the flow of products. Therefore, in this study, a multi-objective mathematical model was presented and solved to optimize the vehicle routing problem by locating the warehouse in the green supply chain while simultaneously receiving and delivering goods. The main limitations considered in this model include manufacturers' capacity, vehicle capacity, vehicle selection based on green supply chain criteria, vehicle routing and cross-stock warehouse location to minimize costs and fuel consumption and reduce pollution. In this case, the goods received from suppliers will be delivered to customers on the route after being categorized in a cross-stock warehouse or delivered directly to customers if necessary. It is assumed that product pickup and delivery are allowed on a single route and there is also a planning horizon for receiving products on the go. In general, the model aims to determine the best route in the green supply chain mode and the optimal number of vehicles used in the distribution network so that the total operating and relocation costs are minimized. The proposed model was validated using Gams software and Comprehensive Criterion Method and the results were evaluated in accordance with the articles presented in this efficient field and compared to similar articles. Manuscript profile
      • Open Access Article

        6 - Impact of Closed-Loop strategic Orientation on performance by Explaining Mediating Role of Green Supply Chain Management in Iran khodro Company
        Arsalan Iraji rad Fatemeh Parsamehr
        The purpose of this research was investigating the impact of closed-loop strategic orientation on performance by explaining mediating role of green supply chain management in Iran Khodro Company. The type of research is descriptive-correlative research that is done thro More
        The purpose of this research was investigating the impact of closed-loop strategic orientation on performance by explaining mediating role of green supply chain management in Iran Khodro Company. The type of research is descriptive-correlative research that is done through survey method. Statistical population of research is the managers and experts of Iran Khodro Company, that they were 3050 persons. The sample size was 342 persons throught using the Krejcie and Morgan table. The sampling method was simple random sampling method.Main tool of this research is a questionnaire that it`s validity is obtained by using panel of experts and masters in the industrial management field. The reliability of the questionnaire is done through pre-test and it is confirmed. Structural equation model is used for analyzing of data by Spss and Lisrel softwares. Hypotheses were investigated by structural equation model and was seen that closed-loop strategic orientation with path coefficients of 0.60, 0.43, 0.27, and 0.59 had a positive and significant effect on environmental performance variables, positive economic performance, negative economic performance, and green supply chain management practices, respectively. Green supply chain management measures with path coefficients of 0.55, 0.41 and 0.37 have positive and significant effects on environmental performance, positive economic performance and negative economic performance, respectively. The Sobel test results also indicate the mediating role of green supply chain management measures in the relationship between closed-loop strategic orientation variables with environmental performance variables, positive economic performance, negative economic performance. Manuscript profile
      • Open Access Article

        7 - Barriers to green supply chain implementation in cement companies
        Masoud Haghighi Nojoukambari Sina AbouieMehrizi Moghtadalanam Ravanbakhsh
        One of the most important industries that cause environmental pollution is the cement industry and companies active in this industry. Cement industry in terms of importance, such as steel and petrochemical industries, and always in accordance with national economic and More
        One of the most important industries that cause environmental pollution is the cement industry and companies active in this industry. Cement industry in terms of importance, such as steel and petrochemical industries, and always in accordance with national economic and development plans and policies contributed to the performance is satisfactory. The present study aimed to identify barriers to GSC implementation by FD, weight and prioritize them through the FBWM and evaluation, ranking of Abeyek Cement Industries, Isfahan and Tehran regarding the performance of using the GSC with MAPPAC technique. The present study is a field research in terms of applied purpose and in terms of data collection. The present article is exploratory because it seeks to identify barriers to the implementation of green supply chain in the country's cement industry.The present statistical sample and population consisted of 12 logistics senior managers in cement companies. Results of screening by a FD indicated that a native model had five dimensions and thirty four indices. According to results of weighting barriers to GSC implementation dimensions by the FBWM, the support & covering was the most important dimension of the GSC, then the Technological was put in the second place, dimensions the economic, knowledge and environmental were ranked third to fiveth respectively.The cement companies were then evaluated by the proposed model through MAPPAC technique. In the present study, the native model of barriers to the implementation of green supply chain in cement manufacturing industries has been designed. Manuscript profile
      • Open Access Article

        8 - Identification and Design of the Model of Critical Factors Realizing the Green Supply Chain of the Automotive Industry
        Hossein Rahimi elahe taheri
        The purpose of the present research is to "identify and design a model of critical factors for the realization of the green supply chain of automotive industry".In this research, by studying the literature, the factors affecting the emergence of the supply chain were id More
        The purpose of the present research is to "identify and design a model of critical factors for the realization of the green supply chain of automotive industry".In this research, by studying the literature, the factors affecting the emergence of the supply chain were identified and then, in the quantitative phase, using the field research, the main goal of the research was realized. In order to identify the critical factors of the green supply chain of the automotive industry and the importance of each of the factors, a questionnaire consisting of 33 questions was given and 100 employees of the automotive synchronous company who were selected by random sampling were given. Data were analyzed using statistical analysis and t-test. The results showed that all four main components of green supply chain management include supply chain management, product recycling, organizational interaction, and life cycle management, and the underlying indicators of these factors in the automotive industry, and all of these factors are green in the supply chain. Manuscript profile
      • Open Access Article

        9 - شناسایی ورتبه بندی محرک ها ی مؤثر بر پیاده سازی"مدیریت زنجیره تأمین سبز" (Fuzzy Topsis) با استفاده از تکنیک تصمیم گیری چند شاخصه
        مسعود احمدی فاطمه طاهری سمانه ترک
      • Open Access Article

        10 - Presenting a Conceptual Model of Green Supply Chain Management to Improve Sustainable Development of the Environment with a Qualitative Approach Grounded Theory
        Zahra Delshad Mozhde Rabbani Hasan Dehghan Dehnavi
        The green supply chain management model is to protect the environment, and companies can use it to reduce the negative environmental impacts according to the future and achieve the optimal use of resources and energy. Objective: The purpose of this study is to identify More
        The green supply chain management model is to protect the environment, and companies can use it to reduce the negative environmental impacts according to the future and achieve the optimal use of resources and energy. Objective: The purpose of this study is to identify and formulate a conceptual model of green supply chain management in the Petrochemical industry of Fars province using the qualitative method Grounded Theory. Method: The method of data collection is the study of documents and interviews with 20 experts aware of the subject under discussion, using the method of snowball sampling. The validity of this study was reviewed and confirmed by the interviewees and then expert professors. To analyze the data, continuous comparison method was used during three stages of open, axial, and selective coding, based on which a qualitative research model was designed. Findings and Results: The results of the present study indicate the extraction of 120 codes or basic concepts from interviews and 21 criteria in the form of a paradigm model with MAXQDA software including causal conditions (design of green processes, customers and other external institutions, green innovation), background conditions. (Drivers of green materials supply, implementation of waste management system, financial thoughts and costs of the organization), intervention conditions (environmental management approaches, green supply chain risks, green suppliers' capabilities, human resource management), phenomenon-based environmental factors Economic (operational performance), strategies (management, technology, economics, policy-making), outcomes (green supply chain enablers, credit enhancement, institutionalization of technology equipment and know-how, energy management and optimization). Manuscript profile
      • Open Access Article

        11 - Interpretative Structural Modeling for Assessing Incentives Identified in the Implementation of Green Supply Chain Management
        Mohamad Mirabi Zahra Delshad
        Green supply chain management activities can improve company reputation and customer satisfaction and Environment initiatives and resource efficiency, thereby improving the company's economic performance. Among the factors that influence the adoption of green supply cha More
        Green supply chain management activities can improve company reputation and customer satisfaction and Environment initiatives and resource efficiency, thereby improving the company's economic performance. Among the factors that influence the adoption of green supply chain management, external stimuli have more power than inter-organization. The improvement of the quality of goods and services, cost savings and increased efficiency in the manufacturing industry are known as powerful stimuli. In this research, firstly, by reviewing the theoretical issues, the main factors of the green supply chain drivers have been identified in one of the manufacturing industries and then, using the method of interpretive structural modeling, the relationships between the factors have been analyzed. The results of this study indicate that the identified factors can be classified into five levels based on the interpretive structural model, and the factor of international and state laws and regulations for the organization's commitment to the implementation of green supply chain management has been identified as the most influential factor. Having it can cause many other factors. Also, in terms of the degree of penetration and dependence, factors that are more important and at lower levels, most of them are located in an independent region with high penetration and low degree of dependency. Manuscript profile
      • Open Access Article

        12 - Identification and Impact of Initiatives on Green Supply Chain Management Performances
        Mojdeh Rabani Zahra Delshad
        In the new century, the main challenge of mankind is to find a sustainable way of producing, consuming and living. The prevention and control of environmental pollution of the industry can help to improve the production process, increase profitability (in the long run) More
        In the new century, the main challenge of mankind is to find a sustainable way of producing, consuming and living. The prevention and control of environmental pollution of the industry can help to improve the production process, increase profitability (in the long run) and achieve global markets that have recently become sensitive to the environment. The purpose of this study was to identify and effect the initiatives on the performances of the green supply chain in the manufacturing industries (petrochemicals and petroleum refineries). The method of this research is applied in terms of the purpose and according to the method, a correlation study is carried out. Using the questionnaire and survey method, the required data are collected and a simple random sampling method has been used. The statistical population of this research consists of directors and experts of petrochemical industry and petroleum refinery of Shiraz (including 150 people). Data were analyzed using SPSS and LISREL software. Finally, according to the path analysis model, the results indicated that between internal pressure and external pressure of the green supply chain, internal pressure and green supply chain initiatives, external pressure and green supply chain initiatives, green supply chain initiatives and environmental performance, There is a meaningful relation between environmental performance and economic performance, environmental performance and operational performance, economic performance and operational performance, economic performance and organizational performance, but between green supply chain initiatives and economic performance, environmental performance and organizational performance, operational performance and performance Organizational relationship is not significant. Manuscript profile
      • Open Access Article

        13 - Evaluating the green supply chain of small and medium-sized manufacturing companies using a combination of association rule mining and fuzzy inference system from the perspective of environmental sociology
        easa narimani Nasser Fegh-hi Farahmand nazanin pilevari Kamaleddin rahmani mohammadreza motadel
        Environmental legal regulations, stakeholder pressures, and globalization have led firms and organizations to develop environmental practices and practices; Accordingly, the purpose of this paper is to evaluate the green supply chain of small and medium-sized manufactur More
        Environmental legal regulations, stakeholder pressures, and globalization have led firms and organizations to develop environmental practices and practices; Accordingly, the purpose of this paper is to evaluate the green supply chain of small and medium-sized manufacturing companies using a combination of dependency rules and fuzzy inference system. This research has been applied from the point of view of purpose and based on the method of conducting descriptive modeling research. The statistical population of this study included all small and medium production companies in East Azarbaijan province. Stati.stical sample of 297 companies has been determined. A researcher-made questionnaire was used to collect the data. To investigate the validity of the questionnaire, the validity of the structure was used based on confirmatory factor analysis. Cronbach's alpha coefficient was also used to evaluate the reliability. The research questionnaires were distributed among the members of the statistical sample after confirmation of validity and reliability. In order to evaluate the green supply chain of companies, fuzzy inference system has been used based on triangular membership functions, Mamdani inference and dependency rules. The results show that a system designed with 43 dependency rules is able to assess the greenness of a company's supply chain based on numerical values and linguistic terms Manuscript profile
      • Open Access Article

        14 - Enhancing Green Productivity via A Two-Level Green Supply Chain Management Practice Model and Importance Analysis: Bushehr Petrochemical Industries
        Ahmad Ghorbanpoor
        In the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compli More
        In the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compliance during various supply chain processes to meet environmental obligations in their production or service activities. Hence, the main purpose of the current enquiry was to design a two-level model for green supply chain management practice and to analyze the relevant importance of each component, via fuzzy analysis, in enhancing green productivity in the Petrochemical Industry in Bushehr province, Iran. The research population consisted experts and specialists from both the industry and the university. The research data were gleaned through a researcher-made questionnaire. To serve the purpose, the study commenced with reviewing the existing literature via a qualitative content analysis approach which identified 12 important measures that can be taken in the field of green supply chain management. Having validated the Two-Level Model, the importance of each of the measures was computed via Fuzzy analysis. Finally, the managerial measures in Green Supply Chain were classified and, accordingly, suggestions were presented to the Petrochemical Industries Managers concerning how to improve their situation. Manuscript profile
      • Open Access Article

        15 - مدلی برای تحلیل توانمندسازهای زنجیره تأمین سبز در صنعت خودرو ایران
        حامد کیهان نازنین پیله وری مریم شعار
      • Open Access Article

        16 - شناسایی و اولویت بندی راهکارهای زنجیره تأمین سبز در حوزه بسته بندی مواد غذایی (مورد مطالعه: شرکتهای مانی ماس و پانل در شهرستان فسا)
        عاطفه زراعت پیشه اسماعیل حسن پور
      • Open Access Article

        17 - Presenting a Model of Factors Preventing the Implementation of Green Supply Chain Management in the Construction Industry (Meta-Synthesis Study)
        Azam Tariyan Hessam ZandHessami Abbas Khamseh
        The purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of dat More
        The purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of data and analysis method. The socio-statistics of the research were all domestic and foreign scientific sources and databases that were investigated in the research. The search period for research sources is between 1392 and 1402 for domestic research and 2013 to 2023 for foreign research. The meta composition approach and interpretive paradigm were used to identify the components, and the Kappa coefficient was used to verify the reliability of the extracted data. In this regard, based on the keywords of the research, 749 relevant internal and external sources were evaluated and screened, and finally, based on the entry and exit criteria, 31 sources were left in the research basket for review, which was done using the content analysis method in the coding process. Again, 42 primary codes were extracted, which were categorized in the form of 7 concepts and 2 categories and presented as a conceptual model. Based on the findings of the research, the concepts: cultural and social, government and regulatory institutions, market, networking and participation were identified in the category of external barriers and concepts: financial, interorganizational and technological in the category of internal barriers to the implementation of green supply chain management in the country's construction industry. Manuscript profile
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        18 - شناسایی و اولویت‌بندی عوامل مؤثر بر مدیریت زنجیره تأمین سبز در صنعت فراساحل با رویکرد فرآیند تحلیل شبکه‌ای (ANP) (مورد مطالعه: شرکت مهندسی و ساخت تأسیسات دریایی ایران)
        جلال حقیقت منفرد فاطمه کریمی
      • Open Access Article

        19 - Dynamic modeling of systems to evaluate the factors affecting green supply chain management
        Zahra Delshad Hamid Babaei Meybodi
      • Open Access Article

        20 - Identifying and Prioritizing Green Supply Chain Management Strategies Fuzzy Analysis Hierarchy Method
        Farzaneh Mansouri Tayebeh Abasnejad