Research Article

Evaluation of Qualitative Accelerated Tests Practices in Product Development Process: A Computer Simulation

Laura Lima da Rocha
Federal University of Amazonas, Brazil
Marcelo Albuquerque de Oliveira
Federal University of Amazonas, Brazil
* Corresponding author
Gabriela de Mattos Veroneze
Federal University of Amazonas, Brazil
DOI icon 10.24018/ejeng.2021.6.6.2568

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Submitted 2021-08-24
Published 2021-10-22

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Table of Contents

Article Main Content

— Reliability is an essential item for the product development phase, as it is from estimated values are obtained about how the product will behave and, consequently, about modes of design flaws and weaknesses. In short, these responses are important to offer to the market high quality products, in addition to providing safety to the customer. In this work, a product was proposed where its design was based on research on how its shape should be and three different raw materials were chosen to be applied to the product and, with the simulation, it was possible to discover the weaknesses and points of improvement and which material best suited the proposed product.

Keywords: accelerated tests, computer-aided design simulation, product design, reliability

References

  1. F. Barbera, J. Dagnes, and R. Di Monaco, “Mimetic Quality: Consumer Quality Conventions and Strategic Mimicry in Food Distribution,” Int. J. Sociol. Agric. Food, vol. 24, no. 2, pp. 253–273, 2018.
     Google Scholar
  2. M. Yoshida, “Consumer experience quality: A review and extension of the sport management literature,” Sport Manag. Rev., vol. 20, no. 5, pp. 427–442, 2017, doi: 10.1016/j.smr.2017.01.002.
     Google Scholar
  3. D. C. Montgomery, Introduction to statistical quality control. John Wiley & Sons, 2007.
     Google Scholar
  4. D. A. Garvin, “Competing on the eight dimensions of quality,” IEEE Eng. Manag. Rev., vol. 24, no. 1, pp. 15–23, 1996.
     Google Scholar
  5. D. Kececioglu, Reliability engineering handbook, vol. 1. DEStech Publications, Inc, 2002.
     Google Scholar
  6. E. Rauch, P. Dallasega, and D. T. Matt, “The Way from Lean Product Development (LPD) to Smart Product Development (SPD),” Procedia CIRP, vol. 50, pp. 26–31, 2016, doi: 10.1016/j.procir.2016.05.081.
     Google Scholar
  7. M. K. Thompson, I. K. Juel Jespersen, and T. Kjærgaard, “Design for manufacturing and assembly key performance indicators to support high-speed product development,” Procedia CIRP, vol. 70, pp. 114–119, 2018, doi: 10.1016/j.procir.2018.02.005.
     Google Scholar
  8. H. Rozenfeld and D. C. Amaral, “Gestão de projetos em desenvolvimento de produtos,” São Paulo Saraiva, 2006.
     Google Scholar
  9. R. B. Bouncken, V. Fredrich, P. Ritala, and S. Kraus, “Coopetition in New Product Development Alliances: Advantages and Tensions for Incremental and Radical Innovation,” Br. J. Manag., vol. 29, no. 3, pp. 391–410, 2018, doi: 10.1111/1467-8551.12213.
     Google Scholar
  10. C. Sinnwell, C. Siedler, and J. C. Aurich, “Maturity model for product development information,” Procedia CIRP, vol. 79, pp. 557–562, 2019, doi: 10.1016/j.procir.2019.02.111.
     Google Scholar
  11. P. Chhim, R. B. Chinnam, and N. Sadawi, “Product design and manufacturing process based ontology for manufacturing knowledge reuse,” J. Intell. Manuf., vol. 30, no. 2, pp. 905–916, 2019, doi: 10.1007/s10845-016-1290-2.
     Google Scholar
  12. J. P. Schöggl, R. J. Baumgartner, and D. Hofer, “Improving sustainability performance in early phases of product design: A checklist for sustainable product development tested in the automotive industry,” J. Clean. Prod., vol. 140, pp. 1602–1617, 2017, doi: 10.1016/j.jclepro.2016.09.195.
     Google Scholar
  13. O. Rincon-Guevara, J. Samayoa, and A. Deshmukh, “Product design and manufacturing system operations: An integrated approach for product customization,” Procedia Manuf., vol. 48, pp. 54–63, 2020, doi: 10.1016/j.promfg.2020.05.020.
     Google Scholar
  14. M. T. Amin, F. Khan, and M. J. Zuo, “A bibliometric analysis of process system failure and reliability literature,” Eng. Fail. Anal., vol. 106, no. August, p. 104152, 2019, doi: 10.1016/j.engfailanal.2019.104152.
     Google Scholar
  15. O. Costa, F. Fuerst, S. J. Robinson, and W. Mendes-Da-Silva, “Green label signals in an emerging real estate market. A case study of Sao Paulo, Brazil,” J. Clean. Prod., vol. 184, pp. 660–670, 2018, doi: 10.1016/j.jclepro.2018.02.281.
     Google Scholar
  16. K. N. Voinov, A. Y. Grigor’Ev, and K. A. Grigor’Ev, “Compressor Reliability Improvement,” Procedia Eng., vol. 150, pp. 448–452, 2016, doi: 10.1016/j.proeng.2016.07.013.
     Google Scholar
  17. L. Jun and X. Huibin, “Reliability Analysis of Aircraft Equipment Based on FMECA Method,” Phys. Procedia, vol. 25, pp. 1816–1822, 2012, doi: 10.1016/j.phpro.2012.03.316.
     Google Scholar
  18. L. Paganin and M. Borsato, “A Critical Review of Design for Reliability - A Bibliometric Analysis and Identification of Research Opportunities,” Procedia Manuf., vol. 11, no. June, pp. 1421–1428, 2017, doi: 10.1016/j.promfg.2017.07.272.
     Google Scholar
  19. E. Zio, M. Fan, Z. Zeng, and R. Kang, “Application of reliability technologies in civil aviation: Lessons learnt and perspectives,” Chinese J. Aeronaut., vol. 32, no. 1, pp. 143–158, 2019, doi: 10.1016/j.cja.2018.05.014.
     Google Scholar
  20. W. J. Ming, H. Min, Y. Jun, and L. X. Jun, “The Study of Process Reliability of Aircraft Engine,” Procedia Eng., vol. 99, pp. 835–839, 2015, doi: 10.1016/j.proeng.2014.12.609.
     Google Scholar
  21. B. Carlsson et al., “The applicability of accelerated life testing for assessment of service life of solar thermal components,” Sol. Energy Mater. Sol. Cells, vol. 84, no. 1–4, pp. 255–274, 2004, doi: 10.1016/j.solmat.2004.01.046.
     Google Scholar
  22. N. Fard and C. Li, “Optimal simple step stress accelerated life test design for reliability prediction,” J. Stat. Plan. Inference, vol. 139, no. 5, pp. 1799–1808, 2009, doi: 10.1016/j.jspi.2008.05.046.
     Google Scholar
  23. Reliasoft Corporation, “Accelerated Life Testing Reference,” Reli. Corp., pp. 1–26, 2015, [Online]. Available: http://www.reliasoft.com.
     Google Scholar
  24. S. H. Mohammadian and D. Ait-Kadi, “Design stage confirmation of lifetime improvement for newly modified products through accelerated life testing,” Reliab. Eng. Syst. Saf., vol. 95, no. 8, pp. 897–905, 2010, doi: 10.1016/j.ress.2010.03.010.
     Google Scholar
  25. M. Bâzu, L. Gǎlǎteanu, V. E. Ilian, J. Loicq, S. Habraken, and J. P. Collette, “Quantitative accelerated life testing of MEMS accelerometers,” Sensors, vol. 7, no. 11, pp. 2846–2859, 2007, doi: 10.3390/s7112846.
     Google Scholar
  26. J. Creswell and J. D. Creswell, Research design : qualitative, quantitative, and mixed methods approaches, 5th ed. Los Angeles, 2018.
     Google Scholar
  27. I. Ágoston et al., Introduction to Research Methodology and Experimentation. 2013.
     Google Scholar
  28. H. M. S. Júnior, J. R. G. Reis, E. G. de T. Júnior, P. F. de Andrade, C. G. Diniz, and I. de O. Salgado, “Os micro-organismos contaminam as escovas dentais ?,” HU Rev., vol. 37, no. 4, pp. 409–412, 2011.
     Google Scholar