[{"data":1,"prerenderedAt":28},["ShallowReactive",2],{"program-multi-machine-engineering-86372":3},{"id":4,"name":5,"program":6,"department":7,"degree":8,"code":9,"gpa":10,"materials":10,"gre":10,"gmat":10,"ielts":10,"toefl":10,"studyMode":11,"years":12,"unit":13,"tuition":10,"startDate":10,"deadlineDate":10,"description":14,"add01Html":10,"universityId":15,"subjectAreaCode":8,"subjectAreaName":16,"subjectCode":17,"subjectName":18,"qsRank":19,"usNewsRank":19,"timesRank":19,"shanghaiRank":19,"dstatus":11,"createdTime":20,"updatedTime":21,"universityName":22,"unEnglishName":23,"unAbbreviation":24,"unQsRank":25,"unCode":26,"unCity":10,"universityCode":10,"countryCode":27},86372,"机械工程理学硕士 - 多机工程方向","Master of Science in Mechanical Engineering - Track: Multi-Machine Engineering","Faculty of Mechanical Engineering","2","multi-machine-engineering-86372",null,1,"2.0","CNY","社会面临巨大挑战，需要满足复杂过程对效率、可持续性和安全性的要求。在物流和生产领域，多机工程通过结合核心（机械系统）设计、实时操作和分布式机器-机器交互的综合视角来应对这些挑战。在多机工程方向，您将培养设计此类集成多机系统所需的技能，结合基于科学的方法、最先进的工具以及动手实验室和工业案例经验。在多机工程方向，您将培养设计集成多机系统所需的技能，以应对未来机器设计、操作、维护和交互的挑战。您将掌握广泛适用的通用技术的基本思想，例如机械分析、驱动和能源系统设计、有限/离散元建模、数学优化、分布式控制、大规模车辆路径规划、动态和多智能体仿真以及（工业）系统过程分析和改进。您将学习如何掌握建模、设计、操作和维护单个机器的特定工具，并以结构化的方式分析设计选择对机器组之间交互的影响。优化多机系统的操作性能设计，考虑人类在复杂系统管理中的局限性，以及环境、材料特性和设备/机械之间的相互作用是主要目标。该项目非常注重利用科学、实践和应用知识解决当前和预见的行业挑战。您将获得动手经验的具体应用案例来自正在进行的科学研究和工业实践，特别是与（港口）物流、集装箱和散货码头设计、海上浮动平台设计、自主地面和船舶车辆、智能物料搬运系统以及生产和配送系统所面临的挑战相关。分析模型、详细且经过验证的仿真模型，以及新开发的实验室设施和现场实验都可以成为您学习的一部分。这些类型的案例研究和实验设施与您为最佳地预测当前行业发展（工业4.0）做准备直接相关。",2614,"工程与技术","205","机械、航空与制造工程",0,"2025-10-12 19:39:19","2026-02-05 13:45:15","代尔夫特理工大学","Delft University of Technology","TUDELFT","0","tudelft","nl",1772699329210]