Special Section Articles

Cloud Computing for Cloud Manufacturing: Benefits and Limitations

[+] Author and Article Information
Peng Wang

Department of Mechanical and Aerospace Engineering,
Case Western Reserve University,
Cleveland, OH 44106
e-mail: pxw206@case.edu

Robert X. Gao

Department of Mechanical and Aerospace Engineering,
Case Western Reserve University,
Cleveland, OH 44106
e-mail: Robert.Gao@case.edu

Zhaoyan Fan

Department of Mechanical Engineering,
University of Connecticut,
Storrs, CT 06268
e-mail: zfan@engr.uconn.edu

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received November 19, 2014; final manuscript received March 10, 2015; published online July 8, 2015. Assoc. Editor: Xun Xu.

J. Manuf. Sci. Eng 137(4), 040901 (Aug 01, 2015) (9 pages) Paper No: MANU-14-1616; doi: 10.1115/1.4030209 History: Received November 19, 2014; Revised March 10, 2015; Online July 08, 2015

Cloud computing, as a new paradigm for aggregating computing resources and delivering services over the Internet, is of considerable interest to both academia and the industry. In this paper, the main characteristics of cloud computing are summarized, in view of its application to the manufacturing industry. Analytic models such as analytic hierarchy process (AHP) method for selecting appropriate cloud services are analyzed, with respect to computational cost and network communication that present a bottleneck for effective utilization of this new infrastructure. The review presented in this paper aims to assist academic researchers and manufacturing enterprises in obtaining an overview of the state-of-the-knowledge of cloud computing when exploring this emerging platform for service.

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Grahic Jump Location
Fig. 1

CM enabled by cloud computing

Grahic Jump Location
Fig. 2

Structure of cloud computing

Grahic Jump Location
Fig. 3

Structure of file distribution system

Grahic Jump Location
Fig. 4

AHP hierarchy for performance-based cloud service selection



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