RLS-based quality control method for reassembly under uncertainty
- 100 Downloads
The uncertainty recognition, quantification, and optimization of reassembly (remanufacturing assembly) are crucial to improve the precision, quality, and stability of the assembly of remanufactured products. In this paper, we summarize the uncertainties based on the analysis of reassembly features. An uncertainty measure model using information-entropy theory is then established. This model characterizes the uncertainty of remanufactured parts, reused parts, and reassembly quantitatively. An online quality prediction method for reassembly process is then proposed. The method can effectively estimate the quality of remanufactured products using recursive least squares algorithm, which combines real-time data with tremendous amount of history data from the reassembly process. This method can also maximize the use of tremendous amount of history data and improve the accuracy of reassembly by mathematical statistics and examples. Moreover, it can reduce the cost of rework and improve the quality of remanufactured products. Results show that the proposed method achieved good application results with high accuracy and computation efficiency.
KeywordsRemanufacturing Assembly systems Quality control Recursive least squares
This work is supported by the National Science Foundation for Young Scientists of China (Grant No. 51705282).
- 1.Xu B-S (2010) State of the art and future development in remanufacturing engineering. Cailiao Rechuli Xuebao 31:10–14Google Scholar
- 14.Niu T-X (2011) Optimal model for remanufacturing tolerance design and its application. Jisuanji Jicheng Zhizao Xitong 17:232–238Google Scholar
- 16.Tang X, Mao H, Li X (2011) Effect of quality uncertainty of parts on performance of reprocessing system in remanufacturing environment. J Southeast Univ (English Ed) 27:92–95Google Scholar
- 22.Zhang Y, Yin Y, Yang M (2010) A new selective assembly approach for remanufacturing of mating parts. In: 40th international conference on IEEE computers and industrial engineering (CIE), pp 1–6. https://doi.org/10.1109/ICCIE.2010.5668287
- 26.Zhang HC (1997) Advanced tolerancing techniques, vol 5. WileyGoogle Scholar
- 27.Liu M-Z et al (2014) Dynamic assembly process quality control system for mechanical products remanufacturing. Jisuanji Jicheng Zhizao Xitong 20:817–824Google Scholar