Nowadays, sustainability issues have received considerable attention in supply chain management because of the governmental requirements as well as expectations of the people. This paper introduces a novel supply chain network design problem to cover three dimensions of sustainability, namely economic, environmental, and social. The advantage of the presented model stems from considering the booming development aligned with reduction in environmental impact. In this paper, to achieve the mentioned benefits and to derive a more sustainable supply chain, a novel model in the presence of the most commonly used carbon policies is proposed. This paper, addresses sustainable development through imposing proper carbon regulatory mechanisms. Main contribution of this study is to consider the effect of imposing carbon policies on environmental advantages as well as improving the regional development level in a supply chain network design problem. Moreover, the shipment consolidation decisions are utilized to reduce cost as well as environmental impact. In addition, a novel mixed uncertainty approach is proposed to capture the uncertain emission parameters. The numerical examples and a case study are analyzed to evaluate the performance of the proposed models. It is concluded that, a high-growth economy with low-carbon can be made and also almost global well-being of people is ensured by applying the proposed model. Some managerial insights are provided for the enterprises of supply chains to make the most appropriate sustainable decisions. Finally, proper carbon emission policies are suggested based on the region sustainability characteristics.

如今，由于政府的要求以及人们的期望，可持续性问题在供应链管理中受到了广泛的关注。本文介绍了一种新颖的供应链网络设计问题，涵盖了可持续性的三个方面，即经济，环境和社会。提出的模型的优势源于考虑蓬勃发展的发展与环境影响的减少。在本文中，为了实现上述收益并建立更可持续的供应链，提出了一种在存在最常用碳政策的情况下的新型模型。本文通过实施适当的碳监管机制来解决可持续发展问题。这项研究的主要贡献是考虑在供应链网络设计问题中实施碳政策对环境优势的影响以及提高区域发展水平。此外，利用货运合并决策来降低成本和环境影响。此外，提出了一种新颖的混合不确定性方法来捕获不确定的排放参数。分析了数值示例和案例研究，以评估所提出模型的性能。结论是，通过使用所提出的模型，可以实现高增长，低碳的经济，并确保几乎全球的人民福祉。为供应链企业提供了一些管理见解，以制定最适当的可持续决策。最后，