Literature DB >> 32831801

Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads.

Thomas D Hedberg1, Bajaj Manas2, Jaime A Camelio3.   

Abstract

Smart manufacturing promises to provide significant increases in productivity and effectiveness of manufacturing systems by better connecting the data from people, processes, and things. However, there is no uniform, generalized method for deploying linked-data concepts to the manufacturing domain. The literature describes and commercial vendors offer centralized data repository solutions, but these types of approaches quickly breakdown under the intense burden of managing and reconciling all the data flowing in and out of the various repositories across the product lifecycle. In this paper, we introduce a method for linking and tracing data throughout the product lifecycle using graphs to form digital threads. We describe a prototype implementation of the method and a case study to demonstrate an information round-trip for a product assembly between the design, manufacturing, and quality domains of the product lifecycle. The expected impact from this novel, standards-based, linked-data method is the ability to use digital threads to provide data, system, and viewpoint interoperability in the deployment of smart manufacturing to realize industry's $30 Billion annual opportunity.

Entities:  

Keywords:  digital thread; linked-data; manufacturing graphs; model-based enterprise (MBE)

Year:  2020        PMID: 32831801      PMCID: PMC7437158     

Source DB:  PubMed          Journal:  J Comput Inf Sci Eng        ISSN: 1530-9827            Impact factor:   1.855


  8 in total

1.  Towards a Lifecycle Information Framework and Technology in Manufacturing.

Authors:  Thomas Hedberg; Allison Barnard Feeney; Moneer Helu; Jaime A Camelio
Journal:  J Comput Inf Sci Eng       Date:  2017-02-16       Impact factor: 1.855

2.  Promoting Model-based Definition to Establish a Complete Product Definition.

Authors:  Shawn P Ruemler; Kyle E Zimmerman; Nathan W Hartman; Thomas Hedberg; Allison Barnard Feeny
Journal:  J Manuf Sci Eng       Date:  2016-11-21       Impact factor: 3.033

3.  Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection.

Authors:  Thomas Hedberg; Joshua Lubell; Lyle Fischer; Larry Maggiano; Allison Barnard Feeney
Journal:  J Comput Inf Sci Eng       Date:  2016-03-08       Impact factor: 1.855

4.  Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in The Supply Chain Using Model-Based Definition.

Authors:  Asa Trainer; Thomas Hedberg; Allison Barnard Feeney; Kevin Fischer; Phil Rosche
Journal:  Proc ASME Int Conf Manuf Sci Eng       Date:  2016

5.  Embedding X.509 Digital Certificates in Three-Dimensional Models for Authentication, Authorization, and Traceability of Product Data.

Authors:  Thomas D Hedberg; Sylvere Krima; Jaime A Camelio
Journal:  J Comput Inf Sci Eng       Date:  2016-11-07       Impact factor: 1.855

6.  Identified research directions for using manufacturing knowledge earlier in the product lifecycle.

Authors:  Thomas D Hedberg; Nathan W Hartman; Phil Rosche; Kevin Fischer
Journal:  Int J Prod Res       Date:  2016-07-22       Impact factor: 8.568

7.  Method for enabling a root of trust in support of product-data certification and traceability.

Authors:  Thomas D Hedberg; Sylvere Krima; Jaime A Camelio
Journal:  J Comput Inf Sci Eng       Date:  2019       Impact factor: 1.855

8.  Towards Knowledge Management for Smart Manufacturing.

Authors:  Shaw C Feng; William Z Bernstein; Thomas Hedberg; Allison Barnard Feeney
Journal:  J Comput Inf Sci Eng       Date:  2017-07-24       Impact factor: 1.855

  8 in total

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