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research-article

Cross-Layer Optimization Model Towards 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
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 (Wuhan University of Technology), Ministry of Education, Wuhan 430070, China
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
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 (Wuhan University of Technology), Ministry of Education, Wuhan 430070, China
zudezhou@whut.edu.cn

Duc Truong Pham

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

1Corresponding author.

ASME doi:10.1115/1.4037605 History: Received July 19, 2017; Revised August 07, 2017

Abstract

Service-oriented robotic manufacturing system is an integrated system, in which the industrial robots (IRs) operate within a service-oriented manufacturing model, and can be virtualized and servicelized 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, most of 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 effect 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 service-oriented robotic manufacturing systems. 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.

Copyright (c) 2017 by ASME
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