With increasing number of cloud additive manufacturing (AM) service providers, cloud AM services are becoming decentralized and it is difficult for consumers to discover cloud AM services according to their personal preferences and tradeoffs. Existing frameworks of cloud manufacturing either do not have brokers between cloud manufacturing service providers and consumers or do not support personalized preference and tradeoff based brokerage. In this paper, we present a cloud-based service broker system for cloud AM to provide consumers with a single point of access to a large number of cloud AM services from many cloud AM service providers over the Internet based on a service oriented architecture using web services. This broker system uses an innovative cloud AM service selection method which considers consumers' preferences and tradeoffs on service attributes like price, material, and accuracy in the ranking process. It is also based on a new integrated representation for both exact and varied matches in cloud AM service selection. We present an application case study to show how the cloud AM service broker system is used to select cloud AM services based on personal preferences and tradeoffs. It demonstrates feasibility of brokerage in cloud AM and effectiveness of the cloud AM service ranking method based on personalized preferences and tradeoffs.

References

References
1.
Wang
,
L.
,
Von Laszewski
,
G.
,
Younge
,
A.
,
He
,
X.
,
Kunze
,
M.
,
Tao
,
J.
, and
Fu
,
C.
,
2010
,
Cloud Computing: A Perspective Study
,”
New Gener. Comput.
,
28
(
2
), pp.
137
146
.10.1007/s00354-008-0081-5
2.
“Shapeways,” Last accessed Oct. 13,
2014
, http://www.shapeways.com/
3.
“Ponoko,” Last accessed Oct. 13,
2014
, https://www.ponoko.com/
4.
Wang
,
X. V.
, and
Xu
,
X. W.
,
2013
, “
ICMS: A Cloud-Based Manufacturing System
,”
Cloud Manufacturing
,
W.
Li
, and
J.
Mehnen
, eds.,
Springer
,
London
, pp.
1
22
.10.1007/978-1-4471-4935-4_1
5.
Wang
,
X. V.
, and
Xu
,
X. W.
,
2013
, “
An Interoperable Solution for Cloud Manufacturing
,”
J. Rob. Comput. Integr. Manuf.
,
29
(
4
), pp.
232
247
.10.1016/j.rcim.2013.01.005
6.
Beyer
,
C.
,
2014
, “
Strategic Implications of Current Trends in Additive Manufacturing
,”
ASME J. Manuf. Sci. Eng.
,
136
(
6
), p.
064701
.10.1115/1.4028599
7.
Selvi
,
I. H.
,
Ozcelik
,
T. O.
,
Fletcher
,
K. K.
,
Iyibilgin
,
O.
,
Leu
,
M. C.
, and
Liu
,
X. F.
,
2014
, “
A Framework and Prototype System for Cloud-Based Additive Manufacturing
,”
International Symposium on Flexible Automation
, Awaji-Island, Hyogo, Japan.
8.
“Sculpteo,” Last accessed Oct. 13,
2014
, http://www.sculpteo.com/en/
9.
“I.materialise,” Last accessed Oct. 13,
2014
, http://i.materialise.com/
10.
“3D Printing Price Check,” Last accessed Oct. 13,
2014
, http://3dprintingpricecheck.com/
11.
Liu
,
X. F.
,
Fletcher
,
K. K.
, and
Tang
,
M.
,
2012
, “
Service Selection Based on Personalized Preference and Trade-Offs Among QoS Factors and Price
,”
IEEE First International Conference on Services Economics (SE)
,
Honolulu, HI
, pp.
32
39
.
12.
Panhalkar
,
N.
,
Paul
,
R.
, and
Anand
,
S.
,
2014
, “
Increasing Part Accuracy in Additive Manufacturing Processes Using a k-d Tree Based Clustered Adaptive Layering
,”
ASME J. Manuf. Sci. Eng.
,
136
(
6
), p.
061017
.10.1115/1.4028586
13.
Xu
,
X.
,
2012
, “
From Cloud Computing to Cloud Manufacturing
,”
J. Rob. Comput. Integr. Manuf.
,
28
(
1
), pp.
75
86
.10.1016/j.rcim.2011.07.002
14.
Tao
,
F.
,
Zhang
,
L.
,
Venkatesh
,
V. C.
,
Luo
,
Y.
, and
Cheng
,
Y.
,
2011
, “
Cloud Manufacturing: A Computing and Service-Oriented Manufacturing Model
,”
Proc. Inst. Mech. Eng., Part B
,
225
(
10
), pp.
1969
1976
.10.1177/0954405411405575
15.
Holtewert
,
P.
,
Wutzke
,
R.
,
Seidelmann
,
J.
, and
Bauernhansl
,
T.
,
2013
, “
Virtual Fort Knox Federative, Secure and Cloud-Based Platform for Manufacturing
,”
46th
CIRP
Conference on Manufacturing Systems,
Setúbal, Portugal
, Vol.
7
, pp.
527
532
.10.1016/j.procir.2013.06.027
16.
Luo
,
Y. L.
,
Zhang
,
L.
,
He
,
D. J.
,
Ren
,
L.
, and
Tao
,
F.
,
2011
, “
Study on Multi-View Model for Cloud Manufacturing
,”
Proc. Adv. Mater. Res.
,
201–203
, pp.
685
688
.10.4028/www.scientific.net/AMR.201-203.685
17.
Wu
,
D.
,
Greer
,
M. J.
,
Rosen
,
D. W.
, and
Schaefer
,
D.
,
2013
, “
Cloud Manufacturing: Strategic Vision and State-of-the-Art
,”
J. Manuf. Syst.
,
32
(
4
), pp.
564
579
.10.1016/j.jmsy.2013.04.008
18.
Wu
,
D.
,
Thames
,
J. L.
,
Rosen
,
D.
, and
Schaefer
,
D.
,
2012
, “
Towards a Cloud-Based Design and Manufacturing Paradigm: Looking Backward, Looking Forward
,”
ASME
Paper No. DETC2012-70780.10.1115/DETC2012-70780
19.
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
, pp.
1
14
.10.1016/j.cad.2014.07.006
20.
Wang
,
L.
,
2013
, “
Machine Availability Monitoring and Machining Process Planning Towards Cloud Manufacturing
,”
ASME J. Manuf. Sci. Technol.
,
6
(
4
), pp.
263
273
.10.1016/j.cirpj.2013.07.001
21.
Rauschecker
,
U.
,
Meier
,
M.
,
Muckenhirn
,
R.
,
Yip
,
A.
,
Jagadeesan
,
A.
, and
Corney
,
J.
,
2011
, “
Cloud-Based Manufacturing-as-a-Service Environment for Customized Products
,”
International Information Management Corporation Limited: eChallenges e-2011
, http://strathprints.strath.ac.uk/id/eprint/38573
22.
“RedProto,” Last accessed Oct. 13,
2014
, http://redproto.com/
23.
“RedEye,” Last accessed Oct. 13,
2014
, http://www.redeyeondemand.com/
24.
“Core,” Last accessed Oct. 13,
2014
, http://core-usa.com/rapid-prototyping/
25.
Pawluk
,
P.
,
Simmons
,
B.
,
Smit
,
M.
,
Litoiu
,
M.
, and
Mankovski
,
S.
,
2012
, “
Introducing STRATOS: A Cloud Broker Service
,”
IEEE International Conference on Cloud Computing
(
CLOUD
),
Honolulu, HI
, June 24–29, pp.
891
898
.10.1109/CLOUD.2012.24
26.
Grivas
,
S. G.
,
Kumar
,
T. U.
, and
Wache
,
H.
,
2010
, “
Cloud Broker: Bringing Intelligence Into the Cloud
,”
IEEE 3rd International Conference on Cloud Computing
(
CLOUD
),
Miami, FL
, July 5–10, pp.
544
545
.10.1109/CLOUD.2010.48
27.
Li
,
L. W.
,
Chun
,
L. C.
,
Ming
,
C. K.
, and
Muhammad
,
Y.
,
2006
, “
Fuzzy Consensus on QoS in Web Services Discovery
,”
20th International Conference on Advanced Information Networking and Applications (AINA’06)
,
Los Alamitos, CA
, pp.
791
798
.
28.
Al-Masri
,
E.
, and
Mahmoud
,
Q. H.
,
2007
, “
Discovering the Best Web Service
,”
16th International Conference on World Wide Web
(
WWW’07
), New York, pp.
1257
1258
.10.1145/1242572.1242795
29.
Al-Masri
,
E.
, and
Mahmoud
,
Q. H.
,
2007
, “
QoS-Based Discovery and Ranking of Web Services
,”
16th International Conference on Computer Communications and Networks (ICCCN’ 07)
, Los Alamitos, CA, pp.
529
534
.
30.
Benouaret
,
K.
, and
Benslimane
,
D.
,
2012
, “
WS-Sky: An Efficient and Flexible Framework for QoS-Aware Web Service Selection
,”
19th International Conference on Web Services (ICWS'12)
, Los Alamitos, CA, pp.
146
153
.
31.
Benouaret
,
K.
,
Sacharidis
,
D.
,
Benslimane
,
D.
, and
Hadjali
,
A.
,
2012
, “
Majority-Rule-Based Web Service Selection
,”
Proceedings of the 13th International Conference on Web Information Systems Engineering
(
WISE’12
), Springer,
Berlin
, pp.
689
695
.10.1007/978-3-642-35063-4_54
32.
Wang
,
P.
,
2009
, “
QoS-Aware Web Services Selection With Intuitionistic Fuzzy Set Under Consumer's Vague Perception
,”
J. Expert Syst. Appl.
,
36
(
3
), pp.
4460
4466
.10.1016/j.eswa.2008.05.007
33.
Wang
,
P.
,
Chao
,
K. M.
, and
Lo
,
C. C.
,
2010
, “
On Optimal Decision for QoS-Aware Composite Service Selection
,”
J. Expert Syst. Appl.
,
37
(
1
), pp.
440
449
.10.1016/j.eswa.2009.05.070
34.
Xiuqin
,
M.
,
Norrozila
,
S.
, and
Mamta
,
R.
,
2011
, “
QoS-Aware Web Services Selection With Interval-Valued Intuitionistic Fuzzy Soft Sets
,”
2nd International Conference on Software Engineering and Computer Systems (ICSECS'11)
,
Berlin
, pp.
259
268
.
35.
Almulla
,
M.
,
Almatori
,
K.
, and
Yahyaoui
,
H.
,
2011
, “
A QoS-Based Fuzzy Model for Ranking Real World Web Services
,”
Proceedings of the 9th International Conference on Web Services (ICWS'11)
,
Los Alamitos, CA
, pp.
203
210
.
36.
Li
,
F.
,
He
,
Y.
,
Hu
,
W.
,
Wu
,
L.
, and
Wen
,
P.
,
2011
, “
Web Service Selection Based on Fuzzy QoS Attributes
,”
J. Comput. Inf. Syst.
,
7
(
1
), pp.
198
205
.
37.
Sun
,
H.
,
Zheng
,
Z.
,
Chen
,
J.
, and
Lyu
,
M. R.
,
2013
, “
Personalized Web Service Recommendation Via Normal Recovery Collaborative Filtering
,”
IEEE Trans. Serv. Comput.
,
6
(
4
), pp.
573
579
.10.1109/TSC.2012.31
38.
Chen
,
X.
,
Zheng
,
Z.
,
Liu
,
X.
,
Huang
,
Z.
, and
Sun
,
H.
,
2013
, “
Personalized QoS Aware Web Service Recommendation and Visualization
,”
IEEE Trans. Serv. Comput.
,
6
(
1
), pp.
35
47
.10.1109/TSC.2011.35
39.
Liu
,
X. F.
,
Azmoodeh
,
M.
, and
Georgalas
,
N.
,
2007
, “
Specification of Non-Functional Requirements for Contract Specification in the NGOSS Framework for Quality Management and Product Evaluation
,”
5th International Workshop on Software Quality
,
Los Alamitos, CA
, pp.
36
41
.
40.
Fletcher
,
K. K.
,
Liu
,
X. F.
, and
Tang
,
M.
,
2015
, “
Elastic Personalized Nonfunctional Attribute Preference and Trade-Off Based Service Selection
,”
ACM Trans. Web (TWEB)
,
9
, pp.
1
26
.10.1145/2697389
41.
“Oracle VirtualBox Manual,” Last accessed Feb. 15,
2015
, https://www.virtualbox.org/manual/ch01.html
42.
Goldman
,
R. N.
,
1991
, “
Area of Planar Polygons and Volume of Polyhedra
,”
Graphics Gems II
, Vol.
2
,
J.
Arvo
, ed.,
Academic
, 24–28 Oval Road, London NW1, pp.
170
171
.10.1016/B978-0-08-050754-5.50043-8
43.
Saaty
,
T. L.
,
2008
, “
Decision Making With the Analytic Hierarchy Process
,”
J. Serv. Sci.
,
1
(
1
), pp.
83
98
.10.1504/IJSSci.2008.01759
44.
Bojadziev
,
G.
, and
Bojadziev
,
M.
,
1995
,
Fuzzy Sets, Fuzzy Logic, Applications
,
World Scientific Publishing Co
,
Singapore
, Chap. 6.10.1142/9789812830692
45.
Li
,
H.
,
2011
, “
RESTful Web Service Frameworks in Java
,”
IEEE International Conference on Signal Processing, Communications and Computing
(
ICSPCC
),
Xi'an, China
, Sep. 14–16, pp.
1
4
.10.1109/ICSPCC.2011.6061739
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