Manufacturing Knowledge(制造知识)研究综述
Manufacturing Knowledge 制造知识 - Manufacturing knowledge (MK) is enjoying a “new golden age” in the academic domain, marked by vast reuse to support product-related production problems (PPs) solving decision making for manufacturing enterprises in the industry sector. [1] This paper illustrates the concept of providing the manufacturing knowledge during early stages of product life cycle to experts working on product development. [2] Our method supports the domain experts by generating manufacturing processes for the new products by learning the manufacturing knowledge from the existent processes that are designed for similar products to the new products. [3] This decision-making in DfRem is influenced by the designers’ subjective preferences owing to a lack of explicitly defined remanufacturing knowledge for designers, which can lead to indecisive design schemes. [4] Manufacturing knowledge is maintained primarily in the unstructured text in industry. [5] The results of this system facilitate the sharing of manufacturing knowledge, and it is expected to accelerate the process of knowledge transfer, to improve the level of the overall manufacturing technology. [6] Formula Student is an International student design competition, a platform for students to use their design, manufacturing knowledge and management skills to solve complex race car engineering challenges. [7] Manufacturing knowledge is used at each level to design the monitoring criteria or aggregation operators. [8] The employment of native and more experienced workers in FMNs seems to suggest that foreign companies use domestic ‘inherited’ stock of manufacturing knowledge and skills. [9]制造知识 (MK) 在学术领域正处于“新黄金时代”，其特点是大量重用，以支持工业部门制造企业解决与产品相关的生产问题 (PP) 的决策。 [1] 本文阐述了在产品生命周期的早期阶段向从事产品开发的专家提供制造知识的概念。 [2] 我们的方法通过从为新产品的类似产品设计的现有流程中学习制造知识来生成新产品的制造流程，从而为领域专家提供支持。 [3] DfRem 中的这种决策受到设计师主观偏好的影响，因为设计师缺乏明确定义的再制造知识，这可能导致优柔寡断的设计方案。 [4] 制造知识主要保存在工业中的非结构化文本中。 [5] 该系统的成果促进了制造知识的共享，有望加速知识转移过程，提高整体制造技术水平。 [6] Formula Student 是一项国际学生设计竞赛，是学生利用自己的设计、制造知识和管理技能解决复杂赛车工程挑战的平台。 [7] 每个级别都使用制造知识来设计监控标准或聚合算子。 [8] 在 FMN 中雇用本地和更有经验的工人似乎表明外国公司使用国内“继承”的制造知识和技能存量。 [9]