Michael P Brundage,Brian A Weiss
Michael P Brundage
Manufacturers need to be resilient to effectively mitigate substantial disruptions to manufacturing operations so they may remain competitive. Disruptions resulting from the COVID-19 global pandemic have caused manufacturers to experience n...
The State of Integrated CAM/CNC Control Systems: Prior Developments and the Path Towards a Smarter CNC [0.03%]
集成CAM/CNC控制系统的发展现状及智能CNC的发展方向
Roby Lynn,Moneer Helu,Mukul Sati et al.
Roby Lynn et al.
Current industrial practice in automated manufacturing operations relies on low fidelity data transmission methods between computer numerical control (CNC) machine tools and the computer-aided manufacturing (CAM) systems used to program the...
Evaluation of Robot Degradation on Human-Robot Collaborative Performance in Manufacturing [0.03%]
机器人退化对人机协作制造性能评估的影响研究
Vinh Nguyen,Jeremy Marvel
Vinh Nguyen
Human-robot collaborative systems are highly sought candidates for smart manufacturing applications because of their adaptability and consistency in production tasks. However, manufacturers are still hesitant to adopt these systems because ...
K C Morris,Yan Lu,Simon Frechette
K C Morris
The manufacturing systems of the future will be even more dependent on data than they are today. More and more data and information are being collected and communicated throughout product development lifecycles and across manufacturing valu...
K C Morris,Douglas S Thomas
K C Morris
Economic value added is a primary metric for measuring manufacturing activity; however, this metric and others exclude approximately half of the economic activity necessary for producing manufactured goods. With the recent disruption in the...
Nancy Diaz-Elsayed,K C Morris,Julius Schoop
Nancy Diaz-Elsayed
The unique and unprecedented challenges of the COVID-19 pandemic have resulted in significant disruptions to diverse manufacturing supply chains across the globe. The negative economic impacts of these unexpected and rapid changes in demand...
Defining Near-Term to Long-Term Research Opportunities to Advance Metrics, Models, and Methods for Smart and Sustainable Manufacturing [0.03%]
定义短期至长期的研究机会，以促进智能和可持续制造的指标、模型和方法的发展
Arvind Shankar Raman,Karl R Haapala,Kamyar Raoufi et al.
Arvind Shankar Raman et al.
Over the past century, research has focused on continuously improving the performance of manufacturing processes and systems-often measured in terms of cost, quality, productivity, and material and energy efficiency. With the advent of smar...
A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection [0.03%]
用于表示卷积神经网络的标准PMML格式及其在缺陷检测中的应用
Max Ferguson,Yung-Tsun Tina Lee,Anantha Narayanan et al.
Max Ferguson et al.
Convolutional neural networks are becoming a popular tool for image processing in the engineering and manufacturing sectors. However, managing the storage and distribution of trained models is still a difficult task, partially due to the la...
Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing [0.03%]
贝叶斯网络的预测模型标记语言(PMML)表示及其在制造领域中的应用
Saideep Nannapaneni,Anantha Narayanan,Ronay Ak et al.
Saideep Nannapaneni et al.
Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality co...
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning [0.03%]
基于卷积神经网络和迁移学习的制造缺陷检测与分割技术研究
Max K Ferguson,Ak Ronay,Yung-Tsun Tina Lee et al.
Max K Ferguson et al.
Quality control is a fundamental component of many manufacturing processes, especially those involving casting or welding. However, manual quality control procedures are often time-consuming and error-prone. In order to meet the growing dem...