نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مدیریت، دانشکده علوم اداری و اقتصاد دانشگاه اصفهان، اصفهان، ایران
2 گروه مدیریت دانشکده علوم اداری و اقتصاد دانشگاه اصفهان
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Abstract
Introduction and Objectives: This study proposes a multi-objective planning model for optimizing the design of a sustainable renewable energy supply chain network based on multi-period biomass. Given the existing challenges in this field, multi-objective modeling has been employed as an innovative approach to improve sustainability and reduce environmental impacts. The main goal of this study is to simultaneously optimize the economic, environmental, and social aspects of the biofuel supply chain to reduce operational costs and carbon emissions while fully meeting consumer demand. This study aims to develop an efficient model for the advancement of the renewable energy supply chain, taking into account multiple complexities and uncertainties.
Methods: To manage uncertainties in key parameters, fuzzy logic has been used, allowing the integration of expert opinions with more realistic data. The proposed multi-objective model was solved using the epsilon constraint method to find Pareto-optimal solutions and the GAMS software. Multiple criteria were considered simultaneously to achieve optimal results across various dimensions. The proposed model can optimize supply chain performance in complex and uncertain environments with greater accuracy and provide different scenarios to improve efficiency and reduce related risks. Sensitivity analysis was also performed to identify key factors affecting system efficiency.
Findings: The results indicate that the proposed model leads to reduced operational costs, decreased carbon emissions, and improved sustainability and efficiency of the supply chain network. Sensitivity analysis revealed that parameters such as transportation costs and CO2 emissions have a significant impact on overall system performance, with small changes in these parameters potentially causing large variations in the final outcomes. Additionally, adopting sustainable approaches and using fuzzy logic helped decision-makers make better decisions under uncertainty to optimize the network. The findings show that using sustainable methods can enhance various aspects of the supply chain. Furthermore, the analysis demonstrated that the fuzzy model provides more accurate parameter estimations, resulting in better decisions in response to environmental changes. The results highlight significant improvements in economic and environmental metrics compared to traditional methods that do not account for uncertainties.
Conclusion: This study demonstrated that using multi-objective fuzzy modeling can improve the sustainability and efficiency of the biofuel supply chain. Given the specific characteristics of the biofuel supply chain in Iran, recommendations for future development and enhancing the efficiency of this supply chain were presented, which can contribute to more optimal decision-making and sustainable development. This research indicates that using fuzzy optimization models can play a key role in improving managerial decisions in the face of uncertainties. Finally, applying this model to other energy supply chains can pave the way for developing similar methods to enhance efficiency and reduce environmental and economic risks on a larger scale.
Conclusion: This study demonstrated that using multi-objective fuzzy modeling can improve the sustainability and efficiency of the biofuel supply chain. Given the specific characteristics of the biofuel supply chain in Iran, recommendations for future development and enhancing the efficiency of this supply chain were presented, which can contribute to more optimal decision-making and sustainable development. This research indicates that using fuzzy optimization models can play a key role in improving managerial decisions in the face of uncertainties. Finally, applying this model to other energy supply chains can pave the way for developing similar methods to enhance efficiency and reduce environmental and economic risks on a larger scale.
کلیدواژهها [English]
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