Process configuration based on generative constraint satisfaction problem

Lin Wang, Shi-Sheng Zhong and Yong-Jian Zhang ()
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Lin Wang: Harbin Institute of Technology
Shi-Sheng Zhong: Harbin Institute of Technology
Yong-Jian Zhang: Harbin Institute of Technology at Weihai

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 4, No 7, 945-957

Abstract: Abstract Product configuration, a widely used technology in product family design, is one of the most effective technologies of mass customization strategies which have been deployed by many companies for years. Nevertheless, the mass customization needs to cover the management of the whole customizable product cycle. In order to assist the development of mass customization, it is essential to extend the configuration technology to product family process planning, which is the technological essence of process configuration. In this article the process configuration task is confirmed based on the analysis of characteristics of process planning. Compared with the solving scheme of product configuration, the process configuration is then mapped into a generative constraint satisfaction problem (GCSP), and the variables and constraints of the process configuration GCSP model are identified respectively. An algorithm based on backtracking algorithm is introduced to complete the process configuration. Finally, an experiment on machining process configuration for satellite plate panel verifies the validity of our algorithm.

Keywords: Process configuration; Generative constraints satisfaction problem; Variable modeling; Constraint identification; Backtracking algorithm (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10845-014-1031-3

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