Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Modeling Mechanical Component Failures during the Two-Dimensional Base Warranty Period for a Locally Produced Car in Iran

Document Type : Original Article

Author
Assistant Professor, Department of Mechanical and Industrial Engineering, Faculty of Engineering, Zanjan University
Abstract
The sale of a product does not mark the end of the manufacturer's involvement, and providing services such as free repair of authorized product failures during the base warranty period is among the responsibilities and commitments of the manufacturer towards the customer. Fulfilling such commitments requires time and resources to identify and rectify failures. In such conditions, estimating the product failure process and associated costs can assist the manufacturer in providing the necessary provisions and resources for servicing and rectifying product failures during the base warranty period. In this article, data on failures of mechanical components of a locally produced car in Iran are collected during the two-dimensional base warranty period, and the probability distribution governing these failures is extracted. Subsequently, based on the mathematical model governing these failures, the expected number of failures is identified, and considering the cost of failures, the expected cost of repairing mechanical component failures is estimated. Finally, by interpreting these results, recommendations are provided for better estimating the failure process and associated costs.
Keywords

[1]       Worldwide Automobile Warranties. (2018, August 16). Retrieved from https://www.warrantyweek.com/archive/ww20180816.html
[2]      Murthy, D. N. P., & Djamaludin, I. (2002). New product warranty: A literature review. International Journal of Production Economics, 79(3), 231–260. https://doi.org/10.1016/S0925-5273(02)00153-6
[3]      Murthy, D. N. P. (2006). Product warranty and reliability. Annals of Operations Research, 143(1), 133–146. https://doi.org/10.1007/s10479-006-7377-y
[4]      Murthy, D. N. P., & Jack, N. (2009). Warranty and maintenance. In Handbook of Maintenance Management and Engineering (pp. 461–478). London: Springer. https://doi.org/10.1007/978-1-84882-472-0_18
[5]      Lawless, J., Hu, J., & Cao, J. (1995). Methods for the estimation of failure distributions and rates from automobile warranty data. Lifetime Data Analysis, 1(3), 227–240. https://doi.org/10.1007/BF00985758
[6]      Davis, T. (1999). A simple method for estimating the joint failure time and failure mileage distribution from automobile warranty data. Ford Technical Journal, 2(6), 1–11.
[7]      Majeske, K. D., & Herrin, G. D. (1995). Assessing mixture-model goodness-of-fit with an application to automobile warranty data. In Annual Reliability and Maintainability Symposium 1995 Proceedings (pp. 378–383). IEEE. https://doi.org/10.1109/RAMS.1995.513272
[8]      Majeske, K. D. (2007). A non-homogeneous Poisson process predictive model for automobile warranty claims. Reliability Engineering & System Safety, 92(2), 243–251. https://doi.org/10.1016/j.ress.2005.12.004
[9]      Rai, B., & Singh, N. (2004). Modeling and analysis of automobile warranty data in presence of bias due to customer-rush near warranty expiration limit. Reliability Engineering & System Safety, 86(1), 83–94. https://doi.org/10.1016/j.ress.2004.01.001
[10]   Rai, B. K. (2009). Strategies for feedback on reliability and robustness from automobile warranty data. International Journal of Product Development, 8(3), 276–290. https://doi.org/10.1504/IJPD.2009.024201
[11]   Chukova, S., Hayakawa, Y., Dohi, T., Karim, R., & Suzuki, K. (2005). Analysis of warranty claim data: A literature review. International Journal of Quality & Reliability Management, 22(5), 497–518. https://doi.org/10.1108/02656710510610820
[12]   Wu, S. (2012). Warranty data analysis: A review. Quality and Reliability Engineering International, 28(8), 795–805. https://doi.org/10.1002/qre.1282
[13]   Aktar, M. S., & Karim, M. R. (2016). Age-based analysis of automobile component failure data: A case study. International Journal of Data Analysis Techniques and Strategies, 8(3), 244–260. https://doi.org/10.1504/IJDATS.2016.079058
[14]   Summit, R. (2004). Cost modelling using automobile warranty data (Doctoral dissertation, Victoria University of Technology).
[15]   Kwang-Wook, C., Sang-Hyun, L., Cheol-Sung, K., & Kyung-Il, M. (2014). Prediction of automobile warranty reclaims using ANFIS approach. International Journal of Software Engineering and Its Applications, 8(2), 243–254.
[16]   Rai, B., & Singh, N. (2006, January). Automobile warranty forecasting using wavelet transform analysis and neural networks. In ASME 2006 International Manufacturing Science and Engineering Conference (pp. 711–715). American Society of Mechanical Engineers Digital Collection. https://doi.org/10.1115/MSEC2006-21084
[17]   Jack, N., Iskandar, B. P., & Murthy, D. N. P. (2009). A repair-replace strategy based on usage rate for items sold with a two-dimensional warranty. Reliability Engineering & System Safety, 94(2), 611–617. https://doi.org/10.1016/j.ress.2008.06.019
Volume 2, Issue 4
Autumn 2020
Pages 205-215

  • Receive Date 02 June 2020
  • Revise Date 11 September 2020
  • Accept Date 11 December 2020