In recently years, the importance of environmental and social performances of industries beside their economic performance resulted in formation of a new concept and approach that is named sustainability. In today’s competitive world, different industries to achieve a c More
In recently years, the importance of environmental and social performances of industries beside their economic performance resulted in formation of a new concept and approach that is named sustainability. In today’s competitive world, different industries to achieve a competitive advantage and maintain their survival, needs to move towards achieving sustainability approach. The main problem is that, the implementation of this approach is simply not possible, and there are several barriers in this way. To deal with this, need to identify and understand the critical success factors. This study aimed to identify and analysis the critical success factors in implementation of sustainable supply chain management in the automotive industry. This paper proposes an interpretive structural modeling (ISM) approach to develop a structural model for evaluating the influential factors among recognized factors. After literature review, the 16 factors based on experts opinions have been selected. In presented research results, the factor of “top management commitment and support” is identified as the most effective and the factor of “Knowledge of competitive advantage” is identified as the most dependent critical success factor.
Manuscript profile
High cost, the risk of ending fossil fuels and pollution severely threatens metropolitan areas today and therefore paying attention to renewable energies is inevitable. This paper presents a three-level supply chain of bioethanol production with the three objectives of More
High cost, the risk of ending fossil fuels and pollution severely threatens metropolitan areas today and therefore paying attention to renewable energies is inevitable. This paper presents a three-level supply chain of bioethanol production with the three objectives of maximizing profit, reducing environmental impacts and maximizing social impacts, using the Epsilon-constraint method for optimization. On the third level, there are several consumer markets that satisfy end-customer demand. The type of feedstock intended is sugarcane, which can be used to produce bioethanol. The planning horizon of the model is multi-period, and the relationship of chain levels to each other may be disrupted. Finally, a case study in the Southwest region of Iran demonstrates the function of the model.
Manuscript profile