论文标题
利用寿命末工具作为一种资产：基于加工行业深度学习的价值共同创造
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
论文作者
论文摘要
可持续性是管理生命终止的产品的关键概念。我们建议，除了作为可回收资产的价值外，生命终止产品还为生产者和消费者提供了额外的价值。我们认为对于加工行业尤其如此，在该行业中，我们说明了磨损工具的自动表征，以促进工具制造商和工具用户（客户）之间的价值共同创造。在手头的工作中，我们提出了一个基于学习的计算机视觉系统，用于自动分类有关侧面磨损和碎屑的工具。由此产生的MATTHEWS相关系数为0.878和0.644，基于VGG-16网络和梯度提升确认了我们系统的可行性。基于这些第一个结果，我们得出了一个研究议程，该研究议程解决了通过语义细分进行更全面的工具表征的需求，并评估了不同用户群体的业务影响和可用性。
Sustainability is the key concept in the management of products that reached their end-of-life. We propose that end-of-life products have -- besides their value as recyclable assets -- additional value for producer and consumer. We argue this is especially true for the machining industry, where we illustrate an automatic characterization of worn cutting tools to foster value co-creation between tool manufacturer and tool user (customer) in the future. In the work at hand, we present a deep-learning-based computer vision system for the automatic classification of worn tools regarding flank wear and chipping. The resulting Matthews Correlation Coefficient of 0.878 and 0.644 confirms the feasibility of our system based on the VGG-16 network and Gradient Boosting. Based on these first results we derive a research agenda which addresses the need for a more holistic tool characterization by semantic segmentation and assesses the perceived business impact and usability by different user groups.
