Industry has been chasing the dream of integrating and linking data across the product lifecycle and enterprises for decades. However, industry has been challenged by the fact that the context in which data are used varies based on the function/role in the product lifecycle that is interacting with the data. Holistically, the data across the product lifecycle must be considered an unstructured data set because multiple data repositories and domain-specific schema exist in each phase of the lifecycle. This paper explores a concept called the lifecycle information framework and technology (LIFT). LIFT is a conceptual framework for lifecycle information management and the integration of emerging and existing technologies, which together form the basis of a research agenda for dynamic information modeling in support of digital-data curation and reuse in manufacturing. This paper provides a discussion of the existing technologies and activities that the LIFT concept leverages. Also, the paper describes the motivation for applying such work to the domain of manufacturing. Then, the LIFT concept is discussed in detail, while underlying technologies are further examined and a use case is detailed. Lastly, potential impacts are explored.

References

References
1.
Open Knowledge International,
2015
, “
About
,” Open Knowledge Foundation, Cambridge, UK, accessed Sept. 1, 2015, https://okfn.org/about/
2.
Open Knowledge International,
2015
, “
CKAN
,” Open Knowledge Foundation, Cambridge, UK, accessed Sept. 1, 2015, https://okfn.org/about/our-impact/ckan/
3.
Open Knowledge International,
2015
, “
About
,” CKAN Association, Cambridge, UK, accessed Sept. 1, 2015, http://ckan.org/about/
4.
Open Data Institute,
2015
, “
About the ODI
,” Open Data Institute, London, accessed Sept. 1, 2015, http://theodi.org/about-us
5.
Open Data Institute,
2015
, “
Open Data Certificate
,” Open Data Institute, London, accessed Sept. 1, 2015, https://certificates.theodi.org/
6.
Telecommunication Standardization Sector of ITU,
2014
, “
Information Technology—Open Systems Interconnection—The Directory—Part 8: Public-Key and Attribute Certificate Frameworks
,” Telecommunication Standardization Sector of ITU, Geneva, Switzerland, accessed Jan. 4, 2016, http://www.iso.org/iso/home/store/catalogue_ics/catalogue_detail_ics.htm?csnumber=64854
7.
U.S. General Services Administration,
2015
, “
Impact
,” U.S. General Services Administration, Washington, DC, accessed Sept. 1, 2015, http://www.data.gov/impact/
8.
National Aeronautics and Space Administration,
2014
, “
Physical Science Information: History and Purpose
,” National Aeronautics and Space Administration, Washington, DC, accessed Sept. 1, 2015, http://psi.nasa.gov/history.html
9.
Consortium for Ocean Leadership,
2010
, “
Final Network Design Report, Ocean Observatories Initiative
,” Consortium for Ocean Leadership, Washington, DC, accessed Sept. 1, 2015, oceanleadership.org/wp-acontent/uploads/2009/04/1101-00000_FND_OOI_2010-04-22_ver_2-06_public1.pdf
10.
EarthCube
,
2015
, “
Earthcube Strategic Science Plan
,” National Science Foundation, Arlington, VA, accessed Sept. 1, 2015, http://earthcube.org/document/2015/earthcube-strategic-science-plan
11.
Logistics Information Service
,
2014
, “
Military Engineering Data Asset Locator System (MEDALS)
,” Defense Logistics Agency, Fort Belvoir, VA, Sept. 1, 2015, https://www.dlis.dla.mil/medals/pdfs/MEDALSHomepageOverview.pdf
12.
Cutkosky
,
M. R.
,
Tenenbaum
,
J. M.
, and
Glicksman
,
J.
,
1996
, “
Madefast: Collaborative Engineering Over the Internet
,”
Commun. ACM
,
39
(
9
), pp.
78
87
.
13.
Stevenson
,
A.
, and
Waite
,
M.
,
2011
,
Concise Oxford English Dictionary
,
12th ed.
,
Oxford University Press
,
Oxford, UK
.
14.
Berners-Lee
,
T.
,
Hendler
,
J.
, and
Lassila
,
O.
,
2001
, “
The Semantic Web
,” Scientific American, New York, Sept. 1, 2015, http://www.scientificamerican.com/article/the-semantic-web/
15.
van Ossenbruggen
,
J.
,
Hardman
,
L.
, and
Rutledge
,
L.
,
2002
, “
Hypermedia and the Semantic Web: A Research Agenda
,”
J. Digital Inf.
,
3
(
1
).
16.
Berners-Lee
,
T.
,
2006
, “
Linked Data, 2009
,” World Wide Web Consortium, Cambridge, MA, accessed Feb. 19, 2016, http://www.w3.org/DesignIssues/LinkedData.html
17.
World Wide Web Consortium,
2006
, “
Semantic Web
,” World Wide Web Consortium, Cambridge, MA, accessed Sept. 1, 2015, https://www.w3.org/standards/semanticweb/
18.
World Wide Web Consortium,
2014
, “
Resource Description Framework (RDF)
,” World Wide Web Consortium, Cambridge, MA, accessed Sept. 1, 2015, http://www.w3.org/RDF/
19.
World Wide Web Consortium,
2013
, “
SPARQL 1.1 Overview
,” World Wide Web Consortium, Cambridge, MA, accessed Sept. 1, 2015, http://www.w3.org/TR/sparql11-overview/
20.
Khilwani
,
N.
,
Harding
,
J. A.
, and
Choudhary
,
A. K.
,
2009
, “
Semantic Web in Manufacturing
,”
Proc. Inst. Mech. Eng., Part B
,
223
(
7
), pp.
905
925
.
21.
Fernandes
,
R. P.
,
Grosse
, I
. R.
,
Krishnamurty
,
S.
,
Witherell
,
P.
, and
Wileden
,
J. C.
,
2011
, “
Semantic Methods Supporting Engineering Design Innovation
,”
Adv. Eng. Inf.
,
25
(
2
), pp.
185
192
.
22.
Ameri
,
F.
, and
Patil
,
L.
,
2012
, “
Digital Manufacturing Market: A Semantic Web-Based Framework for Agile Supply Chain Deployment
,”
J. Intell. Manuf.
,
23
(
5
), pp.
1817
1832
.
23.
Ameri
,
F.
, and
McArthur
,
C.
,
2014
, “
Semantic Rule Modelling for Intelligent Supplier Discovery
,”
Int. J. Comput. Integr. Manuf.
,
27
(
6
), pp.
570
590
.
24.
World Wide Web Consortium,
2008
, “
Inference
,” World Wide Web Consortium, Cambridge, MA, accessed Sept. 1, 2015, http://www.w3.org/standards/semanticweb/inference
25.
Witherell
,
P.
,
Krishnamurty
,
S.
,
Grosse
, I
. R.
, and
Wileden
,
J. C.
,
2010
, “
Improved Knowledge Management Through First-Order Logic in Engineering Design Ontologies
,”
Artif. Intell. Eng. Des., Anal. Manuf.: AIEDAM
,
24
(
2
), pp.
245
257
.
26.
Wu
,
D.
,
Thames
,
J. L.
,
Rosen
,
D. W.
, and
Schaefer
,
D.
,
2013
, “
Enhancing the Product Realization Process With Cloud-Based Design and Manufacturing Systems
,”
ASME J. Comput. Inf. Sci. Eng.
,
13
(
4
), p. 041004.
27.
Wu
,
D.
,
Rosen
,
D. W.
,
Wang
,
L.
, and
Schaefer
,
D.
,
2015
, “
Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation
,”
Comput.-Aided Des.
,
59
(
0
), pp.
1
14
.
28.
Xu
,
X.
,
2012
, “
From Cloud Computing to Cloud Manufacturing
,”
Rob. Comput.-Integr. Manuf.
,
28
(
1
), pp.
75
86
.
29.
Energetics, Inc.
,
2015
, “
Measurement Science Roadmap for Prognostics and Health Management for Smart Manufacturing System
,” National Institute of Standards and Technology, Report No. AMS100-3.
30.
Gao
,
R.
,
Wang
,
L.
,
Teti
,
R.
,
Dornfeld
,
D.
,
Kumara
,
S.
,
Mori
,
M.
, and
Helu
,
M.
,
2015
, “
Cloud-Enabled Prognosis for Manufacturing
,”
CIRP Ann.-Manuf. Technol.
,
64
(
2
), pp.
749
772
.
31.
Helu
,
M.
, and
Hedberg
,
T.
, Jr.
,
2015
, “
Enabling Smart Manufacturing Research and Development Using a Product Lifecycle Test Bed
,”
Procedia Manuf.
,
1
, pp.
86
97
.
32.
Li
,
M.
,
Gao
,
S.
, and
Wang
,
C. C.
,
2006
, “
Real-Time Collaborative Design With Heterogeneous CAD Systems Based on Neutral Modeling Commands
,”
ASME J. Comput. Inf. Sci. Eng.
,
7
(
2
), pp.
113
125
.
33.
ISO
,
2014
, “
Industrial Automation Systems and Integration—Product Data Representation and Exchange—Part 242: Application Protocol: Managed Model-Based 3D Engineering
,” International Standards Organization, Geneva, Switzerland.
34.
MTConnect Institute,
2014
, “
Mtconnect Standard
,” MTConnect Institute, McLean, VA, accessed Sept. 1, 2015, http://www.mtconnect.org/standard-terms-of-use
35.
Dimensional Metrology Standards Consortium,
2014
, “
Part 1: Overview and Fundamental Principles in Quality Information Framework (QIF)—An Integrated Model for Manufacturing Quality Information
,” Dimensional Metrology Standards Consortium, Burleson, TX, accessed Sept. 1, 2015, http://www.qifstandards.org
36.
Feeney
,
A. B.
,
Frechette
,
S. P.
, and
Srinivasan
,
V.
,
2015
, “
A Portrait of an ISO STEP Tolerancing Standard as an Enabler of Smart Manufacturing Systems
,”
ASME J. Comput. Inf. Sci. Eng.
,
15
(
2
), p.
021001
.
37.
Trainer
,
A.
,
Hedberg
,
T.
, Jr.
,
Feeney
,
A. B.
,
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 Paper No. MSEC2016-8792.
38.
Hedberg
,
T.
, Jr.
,
Lubell
,
J.
,
Fischer
,
L.
,
Maggiano
,
L.
, and
Feeney
,
A. B.
,
2016
, “
Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection
,”
ASME J. Comput. Inf. Sci. Eng.
,
16
(2), p. 021001.
39.
Regli
,
W. C.
,
Kopena
,
J. B.
, and
Grauer
,
M.
,
2011
, “
On the Long-Term Retention of Geometry-Centric Digital Engineering Artifacts
,”
Comput.-Aided Des.
,
43
(
7
), pp.
820
837
.
40.
ISO
,
2012
, “
Industrial Automation Systems and Integration—JT File Format Specification for 3D Visualization
,” International Standards Organization, Geneva, Switzerland.
41.
ISO
,
2008
, “
Document Management—Portable Document Format—Part 1: PDF 1.7
,” International Standards Organization, Geneva, Switzerland.
42.
ISO
,
2014
, “
Document Management—3D Use of Product Representation Compact (PRC) Format—Part 1: PRC 10001
,” International Standards Organization, Geneva, Switzerland.
43.
Spatial Corporation,
2014
, “
Spatial Corporation ACIS R25
,” Proprietary Specification, Broomfield, CO.
44.
Burns
,
M.
,
1993
,
The StL Format
,
PTR Prentice Hall
,
Englewood Cliffs, NJ
, p.
369
.
45.
Ram
,
S.
, and
Liu
,
J.
,
2007
, “
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
,”
Active Conceptual Modeling of Learning
(Lecture Notes in Computer Science), Vol.
4512
,
Springer
,
Berlin, Germany
, pp.
17
29
.
46.
Bidarra
,
R.
, and
Bronsvoort
,
W. F.
,
2000
, “
Semantic Feature Modeling
,”
Comput.-Aided Des.
,
32
(
3
), pp.
201
225
.
47.
Dassault Systemes,
2012
, “
Achieving Better, Faster, Smarter Innovation
,”
Dassault Systemes
, Waltham, MA.
48.
PTC, Inc.,
2014
, “
Windchill (R): Managing the Complete Product Lifecycle—From Concept to Service
,”
PTC, Inc.
, Needham, MA.
49.
Siemens PLM,
2014
, “
Teamcenter: Simplifying PLM
,” Siemens PLM, Plano, TX.
50.
Tassey
,
G.
,
Brunnermeier
,
S. B.
, and
Martin
,
S. A.
,
1999
, “
Interoperability Cost Analysis of the U.S. Automotive Supply Chain
,” Research Triangle Institute,
Report No. 7007-03
.
51.
Titelman
,
G. Y.
,
1996
,
Random House Dictionary of Popular Proverbs and Sayings
,
Random House
,
New York
.
52.
Bilello
,
P. A.
,
2014
, “
The Next Step in PLM's Evolution: Platformization
,” Product Design and Development, Rockaway, NJ, accessed Dec. 16, 2014, http://www.pddnet.com/article/2014/12/next-step-plms-evolution-platformization
53.
Kahn
,
R.
, and
Wilensky
,
R.
,
2006
, “
A Framework for Distributed Digital Object Services
,”
Int. J. Digital Libraries
,
6
(
2
), pp.
115
123
.
54.
Reilly
,
S.
, and
Tupelo-Schneck
,
R.
,
2010
, “
Digital Object Repository Server: A Component of the Digital Object Architecture
,”
D-Lib Mag.
,
16
(
1/2
).
55.
International DOI Federation,
2012
, “
DOI Handbook
,” International DOI Foundation, Reston, VA, accessed Sept. 1, 2015, http://www.doi.org/hb.html
56.
International DOI Federation,
2014
, “
International DOI Foundation Members
,” International DOI Foundation, Reston, VA, accessed Sept. 1, 2015, http://www.doi.org/idf-member-list.html
57.
ISO
,
2012
, “
Information and Documentation—Digital Object Identifier System
,” International DOI Foundation, Geneva, Swizterland.
58.
Bond
,
A. H.
, and
Gasser
,
L. G.
,
1988
,
Readings in Distributed Artificial Intelligence
,
M. Kaufmann
,
San Mateo, CA
.
59.
Richardson
,
C.
,
2015
, “
Introduction to Microservices
,” NGINX, Inc., San Francisco CA, May 19, 2015, https://www.nginx.com/blog/introduction-to-microservices/
60.
Dimensional Metrology Standards Consortium,
2014
, “
Part 8: QIF Statistics Information Model and XML Schema Files in Quality Information Framework (QIF)—An Integrated Model for Manufacturing Quality Information
,” Dimensional Metrology Standards Consortium, Burleson, TX.
61.
Holdren
,
J. P.
,
2013
, “
MEMO for Increasing Access to the Results of Federally Funded Scientific Research
,” Executive Office of the President, Office of Science and Technology Policy, Washington, DC, Septe. 1, 2015, http://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
62.
U.S. Government Publishing Office,
2011
, “
America COMPETES Reauthorization Act of 2010
,” U.S. Government Publishing Office, Washington, DC, Public Law No. 111-358, accessed Jan. 4, 2011, http://www.gpo.gov/fdsys/pkg/PLAW-111publ358/pdf/PLAW-111publ358.pdf
63.
Open Data Institute
,
2012
, “
Implementation Plan 2102 and Beyond
,” Open Data Institute, London, Sept. 1, 2015, http://theodi.org/about-us
64.
US Department of Commerce,
2014
, “
Three Takeaways From National Network for Manufacturing Innovation (NNMI) Day
,” U.S. Department of Commerce, Washington, DC, accessed Oct. 27, 2014, http://www.commerce.gov/blog/2014/09/22/three-takeaways-national-network-manufacturing-innovation-nnmi-day
65.
Economist
,
2012
, “
Manufacturing: The Third Industrial Revolution
,” The Economist, New York, Nov. 5, 2014, http://www.economist.com/node/21553017
66.
Argyris
,
C.
, and
Schön
,
D. A.
,
1978
,
Organizational Learning
(Addison-Wesley OD Series),
Addison-Wesley Publishing
,
Reading, MA
.
67.
Argyris
,
C.
,
2008
,
Teaching Smart People How to Learn
(Harvard Business Review Classics Series),
Harvard Business Press
,
Boston, MA
.
68.
Reinertsen
,
D. G.
,
1997
,
Managing the Design Factory: A Product Developer's Toolkit
,
Free Press
,
New York
.
69.
Feeney
,
A. B.
, and
Weiss
,
B.
,
2014
, “
Smart Manufacturing Operations Planning and Control Program
,” National Institute of Standards and Technology, Gaithersburg MD, Sept. 1, 2015, http://www.nist.gov/el/msid/syseng/smopc.cfm
70.
Ficher
,
K.
,
Rosche
,
P.
, and
Trainer
,
A.
,
2015
, “
Investigating the Impact of Standards-Based Interoperability for Design to Manufacturing and Quality in the Supply Chain
,” National Institute of Standard and Technology,
Report No. NIST GCR 15-1009
.
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