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Related Concept Videos

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Data Communication Based on MQTT in a Polymer Extrusion Process
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Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads.

Thomas D Hedberg1, Bajaj Manas2, Jaime A Camelio3

  • 1National Institute of Standards and Technology, Gaithersburg, Maryland 20899.

Journal of Computing and Information Science in Engineering
|August 25, 2020
PubMed
Summary
This summary is machine-generated.

Smart manufacturing can be improved by linking data across the product lifecycle using digital threads. This novel graph-based method enables better data interoperability for increased productivity and a $30 billion opportunity.

Keywords:
digital threadlinked-datamanufacturing graphsmodel-based enterprise (MBE)

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Area of Science:

  • Manufacturing Engineering
  • Data Science
  • Computer Science

Background:

  • Smart manufacturing aims to enhance productivity by integrating data from people, processes, and things.
  • Current approaches lack a unified method for applying linked-data concepts in manufacturing.
  • Centralized data repositories struggle with the complexity of managing lifecycle data.

Purpose of the Study:

  • To introduce a generalized method for linking and tracing data throughout the product lifecycle using graphs.
  • To develop digital threads for improved data management in smart manufacturing.
  • To demonstrate the feasibility and benefits of a standards-based, linked-data approach.

Main Methods:

  • Utilizing graph-based data structures to create digital threads.
  • Developing a prototype implementation of the proposed linked-data method.
  • Conducting a case study to validate an information round-trip across design, manufacturing, and quality domains.

Main Results:

  • Successful demonstration of an information round-trip for product assembly data.
  • Establishment of a method for linking and tracing data across the product lifecycle.
  • Validation of the digital thread concept for data interoperability.

Conclusions:

  • The proposed graph-based digital thread method offers a standardized, linked-data solution for smart manufacturing.
  • This approach addresses the limitations of centralized repositories in managing complex manufacturing data.
  • Implementation can unlock significant industry value by enabling data, system, and viewpoint interoperability.