چكيده به لاتين
Abstract:
Environmental and social impacts of fossil fuels as well as their non-renewable resources have been one of the main human being’s problems in the last decades. Bioethanol production from switchgrass as a renewable fuel, suitable substitute for gasoline and compatible with environment is a proper solution for these problems. Herein, bioethanol supply chain network design as the most important strategic decision in the supply chain planning structure has a pivotal role in the economic, environmental and social performance of this supply chain.
In this study, for determining potential switchgrass cultivation sites, first, a unified data envelopment analysis model based on sustainable development is used and unified efficiency of considered locations for switchgrass cultivation are calculated based on desirable and undesirable outputs. Then, a multi-objective mathematical programming model for designing a switchgrass based bioethanol supply chain is developed. In order to assess the social and environmental impacts of the decisions related to bioethanol supply chain network design, the latest impact assessment methods, based on life cycle assessment approach, is employed. In addition, in order to consider the uncertainty, a robust possibilistic programming approach was developed. In this developed model, a combinational method, which uses chance constraints, mean value and absolute deviation to model the constraints and the objective functions that use uncertain parameters, is utilized. In this approach, the weighted sum of satisfaction degree of economic, environmental, and social objectives in form of performance objective function is presented. The second objective function of the developed model is the weighted sum of satisfaction degree of absolute deviation of economic, environmental and social objectives. The sum of deviation penalties of chance constraints is the third objective function of the model. In the proposed model, the definitions related to possibilistic mean value have been used to transform chance constraints to their crisp equivalents. In order to solve the proposed multi objective model, TH interactive fuzzy solution approach is used. Eventually, the performance of the proposed method is evaluated and validated through conducting a case study in Iran.
Keywords: Supply chain network design, Sustainable development, Bioethanol supply chain, Switchgrass, Life cycle assessment, Robust possibilistic programming, Multi-objective optimization.
