Risk-oriented assembly quality analysing approach considering product reliability degradation

References

• Abellán-Nebot, J. V. 2017. “Derivation and Application of the Stream of Variation Model to the Manufacture of Ceramic Floor Tiles.” Quality Engineering, doi:10.1080/08982112.2017.1385078.
   Web of Science ®Google Scholar
• Andolfatto, L., F. Thiébaut, C. Lartigue, and M. Douilly. 2014. “Quality- and Cost-driven Assembly Technique Selection and Geometrical Tolerance Allocation for Mechanical Structure Assembly.” Journal of Manufacturing Systems 33 (1): 103–115. doi: 10.1016/j.jmsy.2013.03.003
   Web of Science ®Google Scholar
• Antzoulatos, N., E. Castro, L. D. Silva, A. D. Rocha, S. Ratchev, and J. Barata. 2016. “A Multi-agent Framework for Capability-based Reconfiguration of Industrial Assembly Systems.” International Journal of Production Research 55 (10): 2950–2960. doi: 10.1080/00207543.2016.1243268
   Web of Science ®Google Scholar
• Arezes, P. M. 2015. “Analysis of Integrated Management Systems from Various Perspectives.” Total Quality Management & Business Excellence 26 (11–12): 1311–1334. doi: 10.1080/14783363.2014.931064
   Web of Science ®Google Scholar
• Baer, E., P. Evanschitzky, J. Lorenz, F. Roger, R. Minixhofer, L. Filipovic, R. L. de Orio, and S. Selberherr. 2015. “Coupled Simulation to Determine the Impact of Across Wafer Variations in Oxide PECVD on Electrical and Reliability Parameters of Through-silicon Vias.” Microelectronic Engineering 137: 141–145. doi: 10.1016/j.mee.2014.11.014
   Web of Science ®Google Scholar
• Camelio, J. A., S. J. Hu, and D. Ceglarek. 2004. “Impact of Fixture Design on Sheet Metal Assembly Variation.” Journal of Manufacturing Systems 23 (3): 182–193. doi: 10.1016/S0278-6125(05)00006-3
   Web of Science ®Google Scholar
• Cheng, B. W., and S. Maghsoodloo. 1995. “Optimization of Mechanical Assembly Tolerances by Incorporating Taguchi’s Quality Loss Function.” Journal of Manufacturing Systems 14 (4): 264–276. doi: 10.1016/0278-6125(95)98879-B
   Web of Science ®Google Scholar
• Chuang, C., and C. Wu. 2017. “Optimal Process Mean and Quality Improvement in a Supply Chain Model with Two-part Trade Credit Based on Taguchi Loss Function.” International Journal of Production Research, doi:10.1080/00207543.2017.1394591.
   PubMed Web of Science ®Google Scholar
• Deming, W. E. 1986. Out of the Crisis: Quality, Productivity and Competitive Position. Cambridge: Cambridge University Press.
   Google Scholar
• Gianfranco, G., G. Maurizio, and F. Fiorenzo. 2018. “Product Complexity and Design of Inspection Strategies for Assembly Manufacturing Processes.” International Journal of Production Research, doi:10.1080/00207543.2018.1430907.
   PubMed Web of Science ®Google Scholar
• Guo, J., B. Li, Z. Liu, J. Hong, and X. Wu. 2016. “Integration of Geometric Variation and Part Deformation into Variation Propagation of 3-D Assemblies.” International Journal of Production Research 54 (19): 5708–5721. doi: 10.1080/00207543.2016.1158881
   Web of Science ®Google Scholar
• He, Y., C. Gu, Z. He, and J. Cui. 2018. “Reliability-oriented Quality Control Approach for Production Process Based on RQR Chain.” Total Quality Management & Business Excellence 29 (5-6): 652–672. doi: 10.1080/14783363.2016.1224086
   Web of Science ®Google Scholar
• He, Y., L. Wang, Z. He, and X. Xiao. 2016b. “Modelling Infant Failure Rate of Electromechanical Products with Multilayered Quality Variations from Manufacturing Process.” International Journal of Production Research 54 (21): 6594–6612. doi: 10.1080/00207543.2016.1154215
   Web of Science ®Google Scholar
• He, Y., L. Wang, Z. He, and M. Xie. 2016a. “A Fuzzy TOPSIS and Rough Set Based Approach for Mechanism Analysis of Product Infant Failure.” Engineering Applications of Artificial Intelligence 47: 25–37. doi: 10.1016/j.engappai.2015.06.002
   Web of Science ®Google Scholar
• Hu, S. J., and Y. Koren. 1997. “Stream-of-variation Theory for Automotive Body Assembly.” CIRP Annals – Manufacturing Technology 46 (1): 1–6. doi: 10.1016/S0007-8506(07)60763-X
   Google Scholar
• Johansson, P., A. Chakhunashvili, S. Barone, and B. Bergman. 2010. “Variation Mode and Effect Analysis: a Practical Tool for Quality Improvement.” Quality and Reliability Engineering International 22 (8): 865–876. doi: 10.1002/qre.773
   Web of Science ®Google Scholar
• Kościelny, J. M., M. Syfert, B. Fajdek, and A. Kozak. 2017. “The Application of a Graph of a Process in Hazop Analysis in Accident Prevention System.” Journal of Loss Prevention in the Process Industries 50: 55–66. doi: 10.1016/j.jlp.2017.09.003
   Web of Science ®Google Scholar
• Park, C., and A. K. Shrivastava. 2014. “Multimode Geometric-profile Monitoring with Correlated Image Data and its Application to Nanoparticle Self-assembly Processes.” Journal of Quality Technology 46: 216–233. doi: 10.1080/00224065.2014.11917966
   Web of Science ®Google Scholar
• Qu, X., X. Li, Q. Ma, and X. Wang. 2016. “Variation Propagation Modeling for Locating Datum System Design in Multi-station Assembly Processes.” International Journal of Advanced Manufacturing Technology 86 (5–8): 1357–1366. doi: 10.1007/s00170-015-8275-8
   Web of Science ®Google Scholar
• Ransing, R. S., R. S. Batbooti, C. Giannetti, and M. R. Ransing. 2016. A Quality Correlation Algorithm for Tolerance Synthesis in Manufacturing Operations. Oxford: Pergamon Press.
   Google Scholar
• Shi, J. 2006. Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes. Boca Raton, FL: CRC Press.
   Google Scholar
• Shoval, S., M. Efatmaneshnik, and M. J. Ryan. 2016. “Assembly Sequence Planning for Processes with Heterogeneous Reliabilities.” International Journal of Production Research 55 (10): 2806–2828. doi: 10.1080/00207543.2016.1213449
   Web of Science ®Google Scholar
• Thekdi, S., and T. Aven. 2016. “An Enhanced Data-analytic Framework for Integrating Risk Management and Performance Management.” Reliability Engineering and System Safety 156: 277–287. doi: 10.1016/j.ress.2016.07.010
   Web of Science ®Google Scholar
• Thornton, A. C. 2004. Variation Risk Management. Hoboken, NJ: Wiley.
   Google Scholar
• Thornton, A. C., S. Donnelly, and B. Ertan. 2000. “More Than Just Robust Design: Why Product Development Organizations Still Contend with Variation and its Impact on Quality.” Research in Engineering Design 12 (3): 127–143. doi: 10.1007/s001630050028
   Web of Science ®Google Scholar
• Wang, H., and D. Ceglarek. 2009. “Variation Propagation Modeling and Analysis at Preliminary Design Phase of Multi-station Assembly Systems.” Assembly Automation 24 (2): 154–166. doi: 10.1108/01445150910945606
   Web of Science ®Google Scholar
• Wang, G., H. Huang, and X. Zhang. 2009. “Risk Possibility Number – A New Model for Risk Evaluation and Prioritization Based on Maximum Entropy Theory.” Acta Aeronautica Et Astronautica Sinica 30 (9): 1683–1690.
   Google Scholar
• Yang, Z., S. Mcwilliam, A. A. Popov, and T. Hussain. 2013. “A Probabilistic Approach to Variation Propagation Control for Straight Build in Mechanical Assembly.” International Journal of Advanced Manufacturing Technology 64 (5-8): 1029–1047. doi: 10.1007/s00170-012-4071-x
   Web of Science ®Google Scholar
• Yin, Y., H. Nie, F. Feng, X. Wei, and H. Ni. 2017. “Nonlinear Assembly Tolerance Design for Spatial Mechanisms Based on Reliability Methods.” Journal of Mechanical Design, doi:10.1115/1.4035433.
   PubMed Web of Science ®Google Scholar
• Zhong, J., J. Liu, and J. Shi. 2010. “Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes.” IEEE Transactions on Automation Science & Engineering 7 (4): 724–735. doi: 10.1109/TASE.2009.2038714
   Web of Science ®Google Scholar