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.

References

1.
Hedberg
,
T.
, Jr.
,
Lubell
,
J.
,
Fischer
,
L.
,
Maggiano
,
L.
, and
Barnard Feeney
,
A.
,
2016
, “
Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection
,”
ASME J. Comput. Inf. Sci. Eng.
,
16
(
2
), p.
021001
. 10.1115/1.4032697
2.
Anderson
,
G.
,
2016
, “
The Economic Impact of Technology Infrastructure for Smart Manufacturing
,” Technical Report,
National Institute of Standards and Technology
,
Gaithersburg, MD
.
3.
Prasad
,
B.
,
Morenc
,
R. S.
, and
Rangan
,
R. M.
,
1993
, “
Information Management for Concurrent Engineering: Research Issues
,”
Concurrent Eng.
,
1
(
1
), pp.
3
20
. 10.1177/1063293X9300100102
4.
Rangan
,
R. M.
,
Rohde
,
S. M.
,
Peak
,
R.
,
Chadha
,
B.
, and
Bliznakov
,
P.
,
2005
, “
Streamlining Product Lifecycle Processes: A Survey of Product Lifecycle Management Implementations, Directions, and Challenges
,”
ASME J. Comput. Inf. Sci. Eng.
,
5
(
3
), pp.
227
237
. 10.1115/1.2031270
5.
Waurzyniak
,
P.
,
2012
, “
Manufacturing Factory Data
,”
Manuf. Eng.
, pp.
71
82
.
6.
Hedberg
,
T. D.
, Jr.
,
Hartman
,
N. W.
,
Rosche
,
P.
, and
Fischer
,
K.
,
2017
, “
Identified Research Directions for Using Manufacturing Knowledge Earlier in the Product Life Cycle
,”
Int. J. Prod. Res.
,
55
(
3
), pp.
819
827
. 10.1080/00207543.2016.1213453
7.
Trainer
,
A.
,
Hedberg
,
T.
, Jr.
,
Barnard Feeney
,
A.
,
Fischer
,
K.
, and
Rosche
,
P.
,
2016
, “
Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in the Supply Chain using Model-Based Definition
,”
ASME 2016 11th International Manufacturing Science and Engineering Conference – Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing
,
Blacksburg, VA
,
June 27–July 1
, Vol.
2
,
ASME
,
New York
, p.
V002T05A003
.
8.
Ruemler
,
S. P.
,
Zimmerman
,
K. E.
,
Hartman
,
N. W.
,
Hedberg
,
T.
, Jr.
, and
Barnard Feeney
,
A.
,
2016
, “
Promoting Model-Based Definition to Establish a Complete Product Definition
,”
ASME J. Manuf. Sci. Eng.
,
139
(
5
), p.
051008
. 10.1115/1.4034625
9.
Feng
,
S. C.
,
Bernstein
,
W. Z.
,
Hedberg
,
T.
, Jr.
, and
Barnard Feeney
,
A.
,
2017
, “
Toward Knowledge Management for Smart Manufacturing
,”
ASME J. Comput. Inf. Sci. Eng.
,
17
(
3
), p.
031016
. 10.1115/1.4037178
10.
Regli
,
W.
,
Rossignac
,
J.
,
Shapiro
,
V.
, and
Srinivasan
,
V.
,
2016
, “
The New Frontiers in Computational Modeling of Material Structures
,”
Comput. Aided Des.
,
77
, pp.
73
85
. 10.1016/j.cad.2016.03.002
11.
Hedberg
,
T. D.
, Jr.
,
Barnard Feeney
,
A.
,
Helu
,
M. M.
, and
Camelio
,
J. A.
,
2017
, “
Toward a Lifecycle Information Framework and Technology in Manufacturing
,”
ASME J. Comput. Inf. Sci. Eng.
,
17
(
2
), p.
021010
. 10.1115/1.4034132
12.
Sprock
,
T.
,
Murrenhoff
,
A.
, and
McGinnis
,
L. F.
,
2017
, “
A Hierarchical Approach to Warehouse Design
,”
Int. J. Prod. Res.
,
55
(
21
), pp.
6331
6343
. 10.1080/00207543.2016.1241447
13.
Sprock
,
T.
, and
Bock
,
C.
,
2017
, “
Incorporating Abstraction Methods into System-Analysis Integration Methodology for Discrete Event Logistics Systems
,”
2017 Winter Simulation Conference (WSC)
,
Las Vegas, NV
,
Dec. 3–6
,
IEEE, New York
, pp.
966
976
. 10.1109/wsc.2017.8247847
14.
Hedberg
,
T. D.
,
Krima
,
S.
, and
Camelio
,
J. A.
,
2016
, “
Embedding X.509 Digital Certificates in Three-Dimensional Models for Authentication, Authorization, and Traceability of Product Data
,”
ASME J. Comput. Inf. Sci. Eng.
,
17
(
1
), p.
011008
. 10.1115/1.4034131
15.
Hedberg
,
T. D.
,
Krima
,
S.
, and
Camelio
,
J. A.
,
2019
, “
Method for Enabling a Root of Trust in Support of Product-Data Certification and Traceability
,”
ASME J. Comput. Inf. Sci. Eng.
,
19
(
4
), p.
041003
. 10.1115/1.4042839
16.
International Standards Organization
,
2014
, “
Industrial Automation Systems and Integration – Product Data Representation and Exchange – Part 242: Application Protocol: Managed Model-Based 3D Engineering
”. ISO/TC 184/SC 4. (Standard) ISO 10303-242.
17.
International Standards Organization
,
2012
, “
Industrial Automation Systems and Integration – JT File Format Specification for 3D Visualization
”. ISO/TC 184/SC 4. (Standard) ISO 14306.
18.
Johnson
,
D.
, and
Speicher
,
S.
,
2013
, “
Open Services for Lifecycle Collaboration Core Specification Version 2.0
,” http://open-services.net/bin/view/Main/OslcCoreSpecification
19.
International Standards Organization
,
2012
, “
Industrial Automation Systems and Integration – Product Data Representation and Exchange – Part 239: Application Protocol: Product Life Cycle Support
”. ISO/TC 184/SC 4. (Standard) ISO 10303-239.
20.
West
,
T. D.
, and
Blackburn
,
M.
,
2017
, “
Is Digital Thread/Digital Twin Affordable? A Systemic Assessment of the Cost of DoD’s Latest Manhattan Project
,”
Proc. Comp. Sci.
114
, pp.
47
56
. 10.1016/j.procs.2017.09.003
21.
Kraft
,
E. M.
,
2016
, “
The Air Force Digital Thread/Digital Twin-Life Cycle Integration and Use of Computational and Experimental Knowledge
,”
54th AIAA Aerospace Sciences Meeting
,
Jan. 4–8
.
American Institute of Aeronautics and Astronautics Inc
,
San Diego, CA
. 10.2514/6.2016-0897
22.
Wardhani
,
R.
, and
Xu
,
X.
,
2016
, “
Model-Based Manufacturing Based on STEP AP242
,”
12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
, pp.
1
5
. 10.1109/mesa.2016.7587187
23.
Bajaj
,
M.
, and
Hedberg
,
T.
, Jr.,
2018
, “
System Lifecycle Handler – Spinning a Digital Thread for Manufacturing
,”
28th Annual INCOSE International Symposium
,
Wiley, New York
, pp.
1636
1650
. 10.1002/j.2334-5837.2018.00573.x
24.
Li
,
J.
,
Tao
,
F.
,
Cheng
,
Y.
, and
Zhao
,
L.
,
2015
, “
Big Data in Product Lifecycle Management
,”
Int. J. Adv. Manuf. Technol.
,
81
(
1-4
), pp.
667
684
. 10.1007/s00170-015-7151-x
25.
Shilovitsky
,
O.
,
2013
, “
PLM and Data Management in 21st Century
,” TechSoft3D Tech Talk, SlideShare.net
26.
Hedberg
,
T. D.
, Jr.
,
Barnard Feeney
,
A.
, and
Camelio
,
J. A.
,
2017
, “Towards a Diagnostic and Prognostic Method for Knowledge-Driven Decision Making in Smart Manufacturing Technologies,”
Disciplinary Convergence in Systems Engineering Research
,
A. M.
Madni
,
B.
Boehm
,
R. G.
Ghanem
,
D.
Erwin
, and
M. J.
Wheaton
, eds.,
Springer International Publishing
,
Cham, Switzerland
, Chap. 60.
27.
Simons
,
R.
,
2013
,
Levers of Control: How Managers Use Innovative Control Systems to Drive Strategic Renewal
,
Harvard Business Press
,
Boston, MA
.
28.
Rossberg
,
J.
,
2009
, “Application Lifecycle Management,”
Pro Visual Studio Team System Application Lifecycle Management
.
Apress
,
Berkeley, CA
, pp.
1
319
.
29.
Ivezic
,
N.
,
Kulvatunyou
,
B.
, and
Srinivasan
,
V.
,
2014
, “
On Architecting and Composing Through-Life Engineering Information Services to Enable Smart Manufacturing
,”
Procedia CIRP
,
22
(
1
), pp.
45
52
. 10.1016/j.procir.2014.07.004
30.
Bajaj
,
M.
,
Zwemer
,
D.
,
Yntema
,
R.
,
Phung
,
A.
,
Kumar
,
A.
,
Dwivedi
,
A.
, and
Waikar
,
M.
,
2016
, “
MBSE++ – Foundations for Extended Model-Based Systems Engineering Across System Lifecycle
,”
INCOSE International Symposium
, Vol.
26
,
Wiley-Blackwell
, pp.
2429
2445
. 10.1002/j.2334-5837.2016.00304.x
31.
Bajaj
,
M.
,
Backhaus
,
J.
,
Walden
,
T.
,
Waikar
,
M.
,
Zwemer
,
D.
,
Schreiber
,
C.
,
Issa
,
G.
, and
Martin
,
L.
,
2017
, “
Graph-Based Digital Blueprint for Model Based Engineering of Complex Systems
,”
INCOSE International Symposium
, Vol.
27
,
Wiley-Blackwell
, pp.
151
169
. 10.1002/j.2334-5837.2017.00351.x
32.
Kahn
,
R.
, and
Wilensky
,
R.
,
2006
, “
A Framework for Distributed Digital Object Services
,”
Int. J. Digit. Libr.
,
6
(
2
), pp.
115
123
. 10.1007/s00799-005-0128-x
33.
Sun
,
S.
,
Lannom
,
L.
, and
Boesch
,
B.
,
2003
, “
Handle System Overview
,” Technical Report,
The Internet Society, Network Working Group
.
34.
Sun
,
S.
,
Reilly
,
S.
, and
Lannom
,
L.
,
2003
, “
Handle System Namespace and Service Definition
,” Technical Report,
The Internet Society, Network Working Group
.
35.
Sun
,
S.
,
Reilly
,
S.
,
Lannom
,
L.
, and
Petrone
,
J.
,
2003
, “
Handle System Protocol (ver 2.1) Specification
,” Technical Report,
The Internet Society, Network Working Group
,
Nov.
36.
International Standards Organization
,
2012
, “
Information and Documentation – Digital Object Identifier System
”. ISO/TC 46/SC 9.(Standard) ISO 26324.
37.
Fischer
,
A.
, and
Arthurs
,
G.
,
2015
, “
INCOSE 2015 MBSE Workshop Breakout Session
,” http://www.omgwiki.org/MBSE/doku.php?id=mbse:incose˙mbse˙iw˙2015:breakout˙out˙session˙model˙lifecylce˙mgmt
38.
Hedberg
,
T.
, Jr.
,
Sharp
,
M.
,
Maw
,
T.
,
Rahman
,
M.
,
Jadhav
,
S.
,
Whicker
,
J.
,
Feeney
,
A. B.
, and
Helu
,
M.
,
2019
, “
Design, Manufacturing, and Inspection Data for a Three-Component Assembly
,”
J. Res. Natl. Inst. Stand. Technol.
,
124
, p.
124004
.
39.
American Society of Mechanical Engineers
,
2012
, “
Digital Product Definition Data Practices.
New York, NY
:
ASME
. (Standard) ASME Y14.41-2012.
40.
International Standards Organization
,
2009
, “
Automation Systems and Integration – Numerical Control of Machines – Program Format and Definitions of Address Words – Part 1: Data format for Positioning, Line Motion and Contouring Control Systems
”. ISO/TC 184/SC 1.(Standard) ISO 6983-1.
41.
Dimensional Metrology Standards Consortium
,
2014
, “
Part 1: Overview and Fundamental Principles in Quality Information Framework (QIF) – An Integrated Model for Manufacturing Quality Information
,” http://qifstandards.org/
42.
Francis
,
N.
,
Taylor
,
A.
,
Green
,
A.
,
Guagliardo
,
P.
,
Libkin
,
L.
,
Lindaaker
,
T.
,
Marsault
,
V.
,
Plantikow
,
S.
,
Rydberg
,
M.
, and
Selmer
,
P.
,
2018
, “
Cypher: An Evolving Query Language for Property Graphs
,”
Proceedings of the 2018 International Conference on Management of Data - SIGMOD ’18
,
ACM Press
, pp.
1433
1445
. 10.1145/3183713.3190657
43.
Adolphy
,
S.
,
Grosser
,
H.
,
Kirsch
,
L.
, and
Stark
,
R.
,
2015
, “
Method for Automated Structuring of Product Data and Its Applications
,”
Procedia CIRP
, Vol.
38
,
Elsevier, New York
, pp.
153
158
. 10.1016/j.procir.2015.07.063
44.
Hedberg
,
T. D.
, Jr.
,
Helu
,
M. M.
, and
Sprock
,
T.
,
2018
, “
A Standards and Technology Roadmap for Scalable Distributed Manufacturing Systems
,”
Proceedings of the 2018 Manufacturing Science and Engineering Conference
,
American Society of Mechanical Engineers (ASME)
,
New York
. 10.1115/msec2018-6550
45.
Brandl
,
D.
,
2013
, “Drowning in Data, Starved for Information”.
Control Engineering
.
Downers Grove, IL
,
CFE Media LLC
. https://www.controleng.com/articles/drowning-in-data-starved-for-information/
46.
Deo
,
N.
,
2016
,
Graph Theory with Applications to Engineering & Computer Science
,
Dover Publications, Inc.
,
Mineola, NY
.
47.
Miller
,
A. M.
,
Hartman
,
N.
,
Hedberg
,
T.
, Jr.
,
Barnard Feeney
,
A.
, and
Zahner
,
J.
,
2017
, “
Towards Identifying the Elements of a Minimum Information Model for Use in a Model-Based Definition
,”
ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing – Volume 3: Manufacturing Equipment and Systems
, Vol.
3
,
ASME
, p.
V003T04A017
. 10.1115/msec2017-2979
You do not currently have access to this content.