Information Visualization for Product Lifecycle Management (PLM) Data
Author(s) -
Chen Guo,
Yingjie Chen,
Craig Miller,
Nathan Hartman,
Amy Mueller,
Patrick Connolly
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--20642
Subject(s) - computer science , visual analytics , visualization , analytics , data visualization , product (mathematics) , context (archaeology) , data science , product design , new product development , interdependence , product lifecycle , product engineering , human–computer interaction , data mining , paleontology , geometry , mathematics , marketing , biology , political science , law , business
Enabling users to explore the vast volumes of data from different groups is one of product lifecycle management (PLM)’s goals. PLM must solve such problems as isolated “Islands of Data” and “Island of Automation”; the massive data flow of distanced collaborative design, manufacturing, and management; and the incapability of interpreting and synthesizing data from different perspectives. This paper proposes a new approach from a different p rspective: information visualization and visual analytics. An interactive information visual iz tion approach was demonstrated in order to help designers gain insights into massive data and make appropriate decisions. Suggested are possible visualization methods for PLM datastruct ural visualization, temporal visualization, geospatial visualization, 3D model visualization, a d multidimensional visualization. This idea is then demonstrated by a case study of developing an Internet-based information visualization system to visualize the Remote Control Helicopter.
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