Process Visualization of Manufacturing Execution System (MES) Data
Meadhbh O'Neill, Jeff Morgan, Kevin Burke
发表信息：
2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) (2021) 659-664
Process visualizations of data from manufacturing execution systems (MESs) provide the ability to generate valuable insights for improved decision-making. Industry 4.0 is awakening a digital transformation where advanced analytics and visualizations are critical. Exploiting MESs with data-driven strategies can have a major impact on business outcomes. The advantages of employing process visualizations are demonstrated through an application to real-world data. Visualizations, such as dashboards, enable the user to examine the performance of a production line at a high level. Furthermore, the addition of interactivity facilitates the user to customize the data they want to observe. Evidence of process variability between shifts and days of the week can be investigated with the goal of optimizing production.
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University of Kaiserslautern–Landau (RPTU)（凯撒斯劳滕-兰道大学（RPTU））；Department of Data Science and its Applications, German Research Center for Artificial Intelligence (DFKI)（数据科学及其应用系，德国人工智能研究中心（DFKI））
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