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Production Engineering

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13-04-2018 | Production Process

RLS-based quality control method for reassembly under uncertainty

Authors: Jing Ma, Qiang Wang, Zhibiao Zhao

Published in: Production Engineering | Issue 3-4/2018

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Abstract

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.

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Xu B-S (2010) State of the art and future development in remanufacturing engineering. Cailiao Rechuli Xuebao 31:10–14

Mitra S (2016) Models to explore remanufacturing as a competitive strategy under duopoly. Omega-Int J Manag Sci 59:215–227. https://doi.org/10.1016/j.omega.2015.06.009 CrossRef

Gonsch J (2015) A note on a model to evaluate acquisition price and quantity of used products for remanufacturing. Int J Prod Econ 169:277–284. https://doi.org/10.1016/j.ijpe.2015.07.013 CrossRef

Neto JQF, Bloemhof J, Corbett C (2016) Market prices of remanufactured, used and new items: Evidence from eBay. Int J Prod Econ 171:371–380. https://doi.org/10.1016/j.ijpe.2015 02.006CrossRef

Debo LG, Toktay LB, Van Wassenhove LN (2005) Market segmentation and product technology selection for remanufacturable products. Manag Sci 51:1193–1205. https://doi.org/10.1287/mnsc.1050.0369 CrossRef

Liu MZ et al (2016) Assembly process control method for remanufactured parts with variable quality grades. Int J Adv Manuf Technol 85:1471–1481. https://doi.org/10.1007/s00170-015-8026-x CrossRef

Xu B, Dong S, Shi P (2013) States and prospects of china characterised quality guarantee technology system for remanufactured parts. J Mech Eng 49:84–90CrossRef

Du YB et al (2012) An integrated method for evaluating the remanufacturability of used machine tool. J Clean Prod 20:82–91. https://doi.org/10.1016/j.jclepro.2011.08.016 CrossRef

Song SX et al (2015) Proactive remanufacturing timing determination method based on residual strength. Int J Prod Res 53:5193–5206. https://doi.org/10.1080/00207543.2015.1012599 CrossRef

10.

Panagiotidou S et al (2017) Joint optimization of manufacturing/remanufacturing lot sizes under imperfect information on returns quality. Eur J Oper Res 258: 537–551. https://doi.org/10.1016/j.ejor.2016.08.044 MathSciNetCrossRefMATH

11.

Peng ST et al (2016) Comparative life cycle assessment of remanufacturing cleaning technologies. J Clean Prod 137:475–489. https://doi.org/10.1016/j.jclepro.2016.07.120 CrossRef

12.

Li A-D, He Z, Zhang Y (2016) Bi-objective variable selection for key quality characteristics selection based on a modified NSGA-II and the ideal point method. Comput Ind 82:95–103. https://doi.org/10.1016/j.compind.2016.05.008 CrossRef

13.

Ferguson M et al (2009) The value of quality grading in remanufacturing. Prod Oper Manag 18:300–314. https://doi.org/10.1111/j.1937-5956.2009 01033.xCrossRef

14.

Niu T-X (2011) Optimal model for remanufacturing tolerance design and its application. Jisuanji Jicheng Zhizao Xitong 17:232–238

15.

Zhou J et al (2012) A quality evaluation model of reuse parts and its management system development for end-of-life wheel loaders. J Clean Prod 35:239–249. https://doi.org/10.1016/j.jclepro.2012. 05.037CrossRef

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) 27:92–95

17.

Ge M, Liu C, Liu M (2014) The online quality control methods for the assembling of remanufactured engines’ cylinder block and cover under uncertainty. Int J Adv Manuf Technol 74:225–233. https://doi.org/10.1007/s00170-014-5971-8 CrossRef

18.

Shen WL et al (2015) The quality control method for remanufacturing assembly based on the Jacobian-torsor model. Int J Adv Manuf Technol 81:253–261. https://doi.org/10.1007/s00170-015-7194-z CrossRef

19.

Liu MZ et al (2016) The online quality control method for reassembly based on state space model. J Clean Prod 137:644–651. https://doi.org/10.1016/j.jclepro.2016.07.116 CrossRef

20.

Jin XN et al (2013) Assembly strategies for remanufacturing systems with variable quality returns. IEEE Trans Autom Sci Eng 10:76–85. https://doi.org/10.1109/TASE.2012.2217741 CrossRef

21.

Liu M et al (2016) Study on a tolerance grading allocation method under uncertainty and quality oriented for remanufactured parts. Int J Adv Manuf Technol 87:1–8. https://doi.org/10.1007/s00170-013-4826-z

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

23.

Su C, Xu AJ (2014) Buffer allocation for hybrid manufacturing/remanufacturing system considering quality grading. Int J Prod Res 52:1269–1284. https://doi.org/10.1080/00207543.2013.828165 CrossRef

24.

Cai XQ et al (2014) Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels. Eur J Oper Res 233:374–382. https://doi.org/10.1016/j.ejor.2013.07.017 MathSciNetCrossRefMATH

25.

Ondemir O, Gupta SM (2014) Quality management in product recovery using the Internet of Things: an optimization approach. Comput Ind 65:491–504. https://doi.org/10.1016/j.compind.2013.11.006 CrossRef

26.

Zhang HC (1997) Advanced tolerancing techniques, vol 5. Wiley

27.

Liu M-Z et al (2014) Dynamic assembly process quality control system for mechanical products remanufacturing. Jisuanji Jicheng Zhizao Xitong 20:817–824

28.

Benesty J, Paleologu C, Ciochina S (2011) Regularization of the RLS Algorithm. IEICE Trans Fundam Electron Commun Comput Sci E94A:1628–1629CrossRef

29.

Eksioglu EM, Tanc AK (2011) RLS algorithm with convex regularization. IEEE Signal Process Lett 18:470–473. https://doi.org/10.1109/LSP.2011.2159373 CrossRef

Title: RLS-based quality control method for reassembly under uncertainty
Authors: Jing Ma
Qiang Wang
Zhibiao Zhao
Publication date: 13-04-2018
Publisher: Springer Berlin Heidelberg
Published in: Production Engineering / Issue 3-4/2018
Print ISSN: 0944-6524
Electronic ISSN: 1863-7353
DOI: https://doi.org/10.1007/s11740-018-0826-z

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