In this study, a typical supply chain network design problem consisting of plants, distribution centers, and customers is considered with the assumptions of multi-mode demand and multi-mode transportation. In it, the parameters of the problem are considered as a trapezoidal intuitionistic fuzzy value to handle the vagueness in the information. Based on it, a hybrid approach is proposed where the fuzzy objective function is converted to a set of crisp objective functions and the fuzzy constraints are crisped using their credibility measure. Finally, the crisp multi-objective formulation is obtained and solved it with different approaches. To evaluate the formulations and solution approaches, a case study from healthcare sector and several test problems are used. The results of computational experiments are used to compare the solution approaches, where the behavior of the proposed crisp formulation is fully discovered.

在这项研究中，考虑到多模式需求和多模式运输的假设，考虑了由工厂，配送中心和客户组成的典型供应链网络设计问题。其中，问题的参数被视为梯形直觉模糊值，以处理信息中的模糊性。在此基础上，提出了一种混合方法，将模糊目标函数转换为一组清晰的目标函数，并使用其可信度度量对模糊约束进行分解。最后，获得了清晰的多目标公式，并用不同的方法对其进行了求解。为了评估配方和解决方案方法，我们使用了医疗保健行业的案例研究和一些测试问题。计算实验的结果用于比较求解方法，