通过使用集中的知识库,缩短了产品开发时间

R. Willmann, Estefanía Serral, W. Kastner, S. Biffl
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引用次数: 4

摘要

制造业仍在为新产品的质量、工期和成本的可预测性而苦苦挣扎。然而,由于产品生命周期的进一步缩短以及对更可持续和高效制造的压力,新产品的增加变得越来越重要。本文介绍了一种基于集中知识库的方法,该知识库由产品和过程主数据、设备结构、历史测量结果和应用质量管理方法的手段组成。该方法使用知识库驱动的工作流,以确保生产线中现有知识的知识交换和重用。基于半导体制造的真实用例,我们评估了该工作流如何使知识重用,以指导产品和过程工程师支持从有风险的上升项目到可预测的上升过程的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shortening of product ramp-up by using a centralized knowledge base
The manufacturing industry is still struggling with predictability of quality, duration and costs for the ramp-up of new products. However, new product ramp-up becomes increasingly crucial due to further shortening of product life-cycles and the pressure on more sustainable and efficient manufacturing. In this paper, we introduce an approach based on a centralized knowledge base that comprises product and process master data, equipment structure, historical measurement results and means to apply quality management methods. The approach uses a knowledge base driven workflow that ensures knowledge exchange and reuse of existing knowledge within the production line. Based on a real-world use case from semiconductor manufacturing we evaluate how well this workflow enables knowledge reuse to guide product and process engineers to support a shift from a risky ramp-up project to a predictable ramp-up process.
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