International Journal of Applied Science and Engineering

Published by Chaoyang University of Technology

Mohamad Imron Mustajibab*, Udisubakti Ciptomulyonoa and Nani Kurniatia

aDepartment of Industrial Engineering, Institut Teknologi Sepuluh Nopember. Surabaya, Jawa Timur 60111, Indonesia.
bDepartment of Industrial and Mechanical Engineering, Universitas Trunojoyo Madura. Bangkalan,  Jawa Timur 69162, Indonesia.


 

Download Citation: |
Download PDF


ABSTRACT


Remanufacturing is a major area of interest within the field of sustainable manufacturing. Since remanufacturing has widely recognized as a strategy to recover of used products. This recovery means that salvaged values in the used products can be generated again in multi-lifecycle of product through many operations in remanufacturing system. Previous research has established that there are many challenges in remanufacturing practices. The crucial challenge is a shortcoming of control respecting uncertainty in quality, quantity, and return time of a used product. The existence of quality uncertainty incurs risks to incoming core,  to remanufacturing planning, and to remanufactured product itself. This uncertainty, if unmanaged correctly, could lead to high cost of  quality and remanufacturing operations. Therefore, the main problem is how to analyze the causes of quality uncertainty in remanufacturing activities. In this work, the factors of quality uncertainty were investigated using a fish bone diagram as a tool for cause and effect analysis. This tool is particularly useful in investigating factors and root causes of the quality uncertainty problem in remanufacturing system. In the first step we show that the factors exist in core acquisition and remanufacturing activity. The next step, we propose a quality control framework for reducing quality uncertainty.  The framework characteristic in this paper is generic in nature, so that it can be potential for general applicability in remanufacturing industries.


Keywords: Core acquisition; remanufacturing operations; core acceptance condition.


Share this article with your colleagues

 


REFERENCES


 

  1. [1] Badurdeen, F. and Jawahir, I. S. 2017. Procedia Manufacturing, 8: 20–27. https://doi.org/10.1016/j.promfg.2017.02.002

  2. [2] McConocha, D. M. and Speh, T. W. 1991. The Journal of BUsiness and Industrial Arketing, 6: 23–37.

  3. [3] Ijomah, W. L. 2010. Proceedings of the ICE - Waste and Resource Management, 163: 157–163. https://doi.org/10.1680/warm.2010.163.4.157

  4. [4] Ilgin, M. A. and Gupta, S. M. 2012. Remanufacturing modeling and analysis, Taylor & Francis Group.

  5. [5] Errington, M. and Childe, S. J. 2013. Journal of Remanufacturing, 3: 7. https://doi.org/10.1186/2210-4690-3-7

  6. [6] Matsumoto, M. and Nasr, N. 2016. Services And The Green Economy, London: Palgrave Macmillan. https://doi.org/10.1057/978-1-137-52710-3

  7. [7] Wei, S., Tang, O. and Sundin, E. 2015. Journal of Remanufacturing, 5: 4. https://doi.org/10.1186/s13243-015-0014-7

  8. [8] Kurilova-palisaitiene, J., Sundin, E. and Poksinska, B. 2018. Journal of Cleaner Production, 172, 3225–3236. https://doi.org/10.1016/j.jclepro.2017.11.023

  9. [9] Mustajib M. I. and Irianto D. 2010. Journal of Advanced Manufacturing Systems, 9:1 31-48. https://doi.org/10.1142/S0219686710001788

  10. s[10] Nasr, N., Hilton, B., Haselkom, M., Parnell, K., Brun, V. and Hanson, F. 2017. Technology Roadmap for Remanufacturing in the Circular Economy, Rochester.

  11. [11] Sakao, T. and Sundin, E. 2018. Jounal of Manufacturing Science and Engineering. https://doi.org/10.1115/1.4041746

  12. [12] Kosacka, M. 2018. Sustainability in Remanufacturing Operations. In K. F. Golinska-Dawson P. (Ed.), Sustainability in Remanufacturing Operations, London: Springer, Cham. https://doi.org/10.1007/978-3-319-60355-1

  13. [13] Soeseno, E. and Kusumastuti, R. D. 2019. Logistics, 3: 1–15. https://doi.org/10.3390/logistics3010001

  14. [14] Guide, V. D. R. and Wassenhove, L. N. V. 2001. Production and Operations Management, 10: 142–155. https://doi.org/10.1111/j.1937-5956.2001.tb00075.x

  15. [15] Jin, X., Hu, S. J., Ni, J. and Xiao, G. 2013. IEEE Transactions on Automation Science and Engineering, 10: 76–85. https://doi.org/10.1109/TASE.2012.2217741

  16. [16] Jiang, Z., Wang, H., Zhang, H., Mendis, G. and Sutherland, J. W. 2019. Journal of Cleaner Production, 210: 419–431. https://doi.org/10.1016/j.jclepro.2018.10.316

  17. [17] Gavidel, S. Z. and Rickli, J. L. 2017. International Journal of Production Research, 7543: 1–15. https://doi.org/10.1080/00207543.2017.1349954

  18. [18] Kwak, M. and Kim, H. 2012. Journal of Mechanical Design, 135: 11007. https://doi.org/10.1115/1.4023000

  19. [19] Hatcher, G. D., Ijomah, W. L. and Windmill, J. F. C. 2011. Journal of Cleaner Production, 19: 2004–2014. https://doi.org/10.1016/j.jclepro.2011.06.019

  20. [20] Liu, M., Liu, C., Xing, L., Liu, Z., Li, X. and Lin, L. 2016. International Journal of Advanced Manufacturing Technology, 85: 1471–1481. https://doi.org/10.1007/s00170-015-8026-x

  21. [21] Ma, J., Wang, Q. and Zhao, Z. 2018. Production Engineering. https://doi.org/10.1007/s11740-018-0826-z

  22. [22] Cui, L., Wu, K. and Tseng, M. 2017. Journal of Cleaner Production, March: 1–9. https://doi.org/10.1016/j.jclepro.2017.03.056

  23. [23] Rogers, D. S. and Tibben-Lembke, R. 2001. Journal of business logistics, 22: 129-148.

  24. [24] Goltsos, T. E., Ponte, B., Wang, S., Liu, Y., Naim, M. M. and Syntetos, A. A. 2018. International Journal of Production Research, 1–34. https://doi.org/10.1080/00207543.2018.1510191

  25. [25] Kurniati, N., Yeh, R. H. and Lin, J. J. 2015. Procedia Manufacturing, 4: 244-251. https://doi.org/10.1016/j.promfg.2015.11.038

  26. [26] Mustajib, M.I., Kurniati, N. and Ciptomulyono, U. 2017. Proceedings of The 18th Asia Pasific Industrial Engineering and Management System Conference, C5-C12 ISBN: 978-602-50913-0-8

  27. [27] Östlin J., Sundin E. and Björkman M. 2008. International Journal of Production Economics, 115: 2, 336-348. https://doi.org/10.1016/j.ijpe.2008.02.020

  28. [28] Wei, S., Tang, O. and Sundin, E. 2015. Journal of Remanufacturing, 5: 1 4. https://doi.org/10.1186/s13243-015-0014-7


ARTICLE INFORMATION


Received: 2019-05-29

Accepted: 2019-06-18
Publication Date: 2019-06-01


Cite this article:

Mustajib, M.I., Ciptomulyono, U., Kurniati, N. 2019. Determining factors of quality uncertainty and Its control analysis in remanufacturing system. International Journal of Applied Science and Engineering, 16, 35-45. https://doi.org/10.6703/IJASE.201906_16(1).035


We use cookies on this website to improve your user experience. By using this site you agree to its use of cookies.