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Research Papers

Cross-Layer Optimization Model Toward Service-Oriented Robotic Manufacturing Systems

[+] Author and Article Information
Jiaqiang Zhang

School of Information Engineering,
Wuhan University of Technology,
Wuhan 430070, China;
Hubei Key Laboratory of Broadband Wireless
Communication and Sensor Networks,
Wuhan University of Technology,
Wuhan 430070, China
e-mail: zhangfinder@126.com

Quan Liu

School of Information Engineering,
Wuhan University of Technology,
Wuhan 430070, China;
Key Laboratory of Fiber Optic Sensing
Technology and Information Processing,
Ministry of Education,
Wuhan University of Technology,
Wuhan 430070, China
e-mail: quanliu@whut.edu.cn

Wenjun Xu

School of Information Engineering,
Wuhan University of Technology,
Wuhan 430070, China;
Hubei Key Laboratory of Broadband Wireless
Communication and Sensor Networks,
Wuhan University of Technology,
Wuhan 430070, China
e-mail: xuwenjun@whut.edu.cn

Zude Zhou

School of Information Engineering,
Wuhan University of Technology,
Wuhan 430070, China;
Key Laboratory of Fiber Optic Sensing
Technology and Information Processing,
Ministry of Education,
Wuhan University of Technology,
Wuhan 430070, China
e-mail: zudezhou@whut.edu.cn

Duc Truong Pham

Department of Mechanical Engineering,
University of Birmingham,
Birmingham B15 2TT, UK
e-mail: d.t.pham@bham.ac.uk

1Corresponding author.

Manuscript received July 19, 2017; final manuscript received August 7, 2017; published online January 25, 2018. Editor: Y. Lawrence Yao.

J. Manuf. Sci. Eng 140(4), 041002 (Jan 25, 2018) (7 pages) Paper No: MANU-17-1459; doi: 10.1115/1.4037605 History: Received July 19, 2017; Revised August 07, 2017

Service-oriented robotic manufacturing system (SORMS) is an integrated system, in which the industrial robots (IRs) operate within a service-oriented manufacturing model, and can be virtualized and servitized as services, so as to provide on-demand, agile, configurable, and sustainable manufacturing capability services to users in workshop environment. Manufacturing capability of such systems can be divided into three layers, including manufacturing cell layer, production process layer, and workshop layer. However, currently most of the existing works carried out the optimization on each layer individually. Manufacturing cells are the component parts of a production process, and there are close relationships between them and can affect the operation and performance for each other; therefore, it is essential to jointly consider the manufacturing capability service optimization on both layers. In this context, a cross-layer optimization model is proposed to conquer the existing limitation and provide a comprehensive performance assurance to SORMSs. The proposed model has different decision-making mechanisms on each layer, and the communications and interaction between the two layers can further coordinate the optimizations. A case study based on robotic assembly is implemented to demonstrate the availability and effectiveness of the proposed model.

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References

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Figures

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Fig. 1

Architecture in manufacturing cell layer

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Fig. 2

Architecture in production process layer

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Fig. 3

Communication instructions

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Fig. 4

Service composition structure of the assembly process

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Fig. 5

QoS distribution of s1

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Fig. 6

QoS distribution of composition service

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