Digitalization is crucial for increasing the productivity of manufacturing systems and processes, where model-based systems engineering is a key engineering discipline to support related design and planning activities. However, knowledge used in these activities is not sufficiently captured through exhaustive simulation-based searches on design spaces. This study proposes a design space model based on General Design Theory to express such knowledge using the properties of topological spaces. A simulation-based production planning case study demonstrates computation of a design space from simulation experiments using inductive and deductive reasoning, and formulation of complex design options for production plans to meet performance criteria.

数字化对于提高制造系统和流程的生产力至关重要，其中基于模型的系统工程是支持相关设计和规划活动的关键工程学科。然而，在这些活动中使用的知识并没有通过对设计空间进行详尽的基于仿真的搜索来充分获取。本研究提出了一种基于通用设计理论的设计空间模型，以利用拓扑空间的特性来表达此类知识。基于模拟的生产计划案例研究展示了使用归纳和演绎推理从模拟实验中计算设计空间，并为生产计划制定复杂的设计选项以满足性能标准。