The role of new technologies in industrial and service sector is inevitable. Various sectors like transport / mobility have decided to remodel and redesign their infrastructures by implementing innovative devices and strategies. Transport / mobility sector is one of the most fast-growing industries which demands innovative solutions, however, it will be complex to derive optimal decision while one confront uncertain conditions and variables. In this paper, we develop a decision support system for technology adoption in transport / mobility division within the context of Industry 4.0 considering a case study in Spain. To find the adopted technology in this sector, several alternatives (options) and variables (criteria) should be assumed. We propose an integrated decision-making system including quality function deployment (QFD) and best-worst method (BWM) to find the importance weight of each criterion. After we apply the stratified Combined compromise solution (S-CoCoSo) to rate the alternatives and rank them under a multi-scenario perspective. The results will be analyzed through some sensitivity analysis actions. The novelty of our proposed decision support model contributes to the mobility sector and releases guidelines to managers and policy makers.

新技术在工业和服务业中的作用是不可避免的。交通/移动等各个部门已决定通过实施创新设备和战略来改造和重新设计其基础设施。运输/移动行业是发展最快的行业之一，需要创新的解决方案，然而，在面临不确定条件和变量的情况下做出最佳决策将是复杂的。在本文中，我们考虑了西班牙的案例研究，在工业 4.0 的背景下开发了一个用于交通/移动部门技术采用的决策支持系统。为了找到该领域采用的技术，应该假设几个替代方案（选项）和变量（标准）。我们提出了一个集成的决策系统，包括质量函数部署（QFD）和最差方法（BWM）来找到每个标准的重要性权重。在我们应用分层组合妥协解决方案（S-CoCoSo）对备选方案进行评级并在多场景视角下对其进行排名之后。结果将通过一些敏感性分析动作进行分析。我们提出的决策支持模型的新颖性有助于移动行业并向管理人员和政策制定者发布指导方针。