研究目的
To design an environmentally conscious solar photovoltaic supply chain under correlated uncertainty, minimizing both environmental impacts and conventional costs.
研究成果
The study concludes that the proposed model effectively addresses the design of an environmentally conscious photovoltaic supply chain under correlated uncertainty. The results demonstrate the model's ability to minimize both environmental impacts and costs, providing valuable insights for practical and managerial applications in the photovoltaic industry.
研究不足
The study acknowledges the dynamic and complex nature of photovoltaic supply chain decisions, which are subject to extensive uncertainties. The model's effectiveness is contingent on the accuracy of the data and assumptions used, particularly in the life cycle assessment and the robust optimization method.
1：Experimental Design and Method Selection:
A multi-objective robust mathematical model is developed to study the photovoltaic supply chain under correlated uncertainty. The model integrates life cycle assessment to quantify environmental impacts.
2：Sample Selection and Data Sources:
The case study is implemented in Iran, utilizing data from solar radiation, efficiency of panels, and other technical parameters relevant to photovoltaic systems.
3：List of Experimental Equipment and Materials:
The study uses the SimaPro software tool with the ReCiPe 2008 approach for life cycle assessment.
4：Experimental Procedures and Operational Workflow:
The model is solved using the augmented ?-constraint procedure to optimize the multi-objective problem, considering both environmental and cost objectives.
5：Data Analysis Methods:
The results are analyzed to evaluate the effectiveness of the model in minimizing environmental impacts and costs, and to provide managerial insights.
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