Usage Data Analytics for Human-Machine Interactions with Flexible Manufacturing Systems: Opportunities and Challenges

Jari Varsaluoma, H. Väätäjä, T. Heimonen, Katariina Tiitinen, Jaakko Hakulinen, M. Turunen, Harri Nieminen
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引用次数: 4

Abstract

Analyzing data from complex production systems and processes can be used in improving existing products, processes, and services, and innovating novel offerings. We report the findings from a six-month case study with a company developing flexible manufacturing systems. During a collaborative development process of a data analytics and visualization tool, our goal was to identify potential metrics, business opportunities, and challenges when utilizing logged data of end-users' human-machine interactions in development activities. Our key contributions include a characterization of the potential usage data metrics to be logged and visualized, identification of opportunities this data entails for business, and discussion about the challenges related to usage data logging in the studied context. Finally, we propose topics that should be considered in the organization before investing in usage data logging in the context of flexible manufacturing systems.
柔性制造系统人机交互的使用数据分析:机遇与挑战
分析来自复杂生产系统和流程的数据可以用于改进现有产品、流程和服务,以及创新新产品。我们报告了对一家开发柔性制造系统的公司进行为期六个月的案例研究的结果。在数据分析和可视化工具的协作开发过程中,我们的目标是在开发活动中利用终端用户人机交互的记录数据时,识别潜在的度量、商业机会和挑战。我们的主要贡献包括描述要记录和可视化的潜在使用数据度量,识别该数据为业务带来的机会,以及讨论与所研究的上下文中的使用数据记录相关的挑战。最后,我们提出了在投资于柔性制造系统背景下的使用数据记录之前应该在组织中考虑的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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