Nothing Special   »   [go: up one dir, main page]
Skip to main content

Advertisement

Springer Nature Link
Log in

A modal interval based method for dynamic decision model considering uncertain quality of used products in remanufacturing

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

In this paper, a modal interval based method is proposed to characterize the uncertainty in the quality of collected used products for a closed-loop supply chain. Triggered by an actual case in the construction machinery remanufacturing field, we establish a decent model of a remanufacturer-driven closed-loop supply chain with multi-dimensional reverse channel within the framework of game theory, which includes the supplier, the manufacturer, the retailer with authorization to remanufacture, and the third party collector. In this special remanufacturer-driven supply chain, both the retailer and the third party collector collect the used products for the remanufacturer. Considering the influence of uncertainty in the quality of used products on the buyback price and the cost of remanufacturing process, we utilize modal interval arithmetic to analyze the dynamic pricing and collection strategy of the remanufacturer. Moreover, to validate the effectiveness of the proposed modal interval based method, we compare it with the analysis under the traditional scenario based method. We confirm that the modal interval method can obtain more robust results, and the proposed model and method of our research can give guidance to the construction machinery remanufacturing firms when facing with the quality uncertainty of the collected used products in remanufacturing activities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Chen, J.-M., & Chang, C.-I. (2013). Dynamic pricing for new and remanufactured products in a closed-loop supply chain. International Journal of Production Economics, 146(1), 153–160. doi:10.1016/j.ijpe.2013.06.017.

    Article  Google Scholar 

  • Das, D., & Dutta, P. (2013). A system dynamics framework for integrated reverse supply chain with three way recovery and product exchange policy. Computers and Industrial Engineering, 66(4), 720–733. doi:10.1016/j.cie.2013.09.016.

    Article  Google Scholar 

  • Easwaran, G., & Üster, H. (2010). A closed-loop supply chain network design problem with integrated forward and reverse channel decisions. IIE Transactions, 42(11), 779–792. doi:10.1080/0740817X.2010.504689.

    Article  Google Scholar 

  • Ferguson, M. E., Guide, V. D., Koca, E., & Van Souza, G. C. (2009). The value of quality grading in remanufacturing. Production and Operations Management, 18(3), 300–314. doi:10.1111/j.1937-5956.2009.01033.x.

    Article  Google Scholar 

  • Ferguson, M. E., & Toktay, L. B. (2006). The effect of competition on recovery strategies. Production and Operations Management, 15(3), 351.

    Article  Google Scholar 

  • Gardeñes, E., Sainz, M., Jorba, L., Calm, R., Estela, R., Mielgo, H., et al. (2001). Modal intervals. Reliable Computing, 7(2), 77–111. doi:10.1023/A:1011465930178.

    Article  Google Scholar 

  • Giutini, R., & Gaudette, K. (2003). Remanufacturing: The next great opportunity for boosting US productivity. Business Horizons, 46(6), 41–48. doi:10.1016/S0007-6813(03)00087-9.

    Article  Google Scholar 

  • Guide, V. D. R., & Wassenhove, L. N. (2006). Closed-loop supply chains: An introduction to the feature issue (part 1). Production and Operations Management, 15(3), 345–350. doi:10.1111/j.1937-5956.2006.tb00249.x.

    Article  Google Scholar 

  • Guide, V. D. R., & Wassenhove, L. N. (2009). Managing product returns for remanufacturing. Production and Operations Management, 10(2), 142–155. doi:10.1111/j.1937-5956.2001.tb00075.x.

    Article  Google Scholar 

  • Gutowski, T., Murphy, C., Allen, D., Bauer, D., Bras, B., Piwonka, T., et al. (2005). Environmentally benign manufacturing: Observations from Japan, Europe and the United States. Journal of Cleaner Production, 13(1), 1–17. doi:10.1016/j.jclepro.2003.10.004.

    Article  Google Scholar 

  • Hong, X., Wang, Z., Wang, D., & Zhang, H. (2013). Decision models of closed-loop supply chain with remanufacturing under hybrid dual-channel collection. The International Journal of Advanced Manufacturing Technology, 68(5–8), 1851–1865. doi:10.1007/s00170-013-4982-1.

    Article  Google Scholar 

  • Huang, M., Song, M., Lee, L. H., & Ching, W. K. (2013). Analysis for strategy of closed-loop supply chain with dual recycling channel. International Journal of Production Economics, 144(2), 510–520. doi:10.1016/j.ijpe.2013.04.002.

    Article  Google Scholar 

  • Jung, K., & Hwang, H. (2011). Competition and cooperation in a remanufacturing system with take-back requirement. Journal of Intelligent Manufacturing, 22(3), 427–433. doi:10.1007/s10845-009-0300-z.

    Article  Google Scholar 

  • Karakayali, I., Emir-Farinas, H., & Akcali, E. (2007). An analysis of decentralized collection and processing of end-of-life products. Journal of Operations Management, 25(6), 1161–1183. doi:10.1016/j.jom.2007.01.017.

    Article  Google Scholar 

  • Kaucher, E. (1980). Interval analysis in the extended interval space IR. In G. Alefeld & R. Grigorieff (Eds.), Fundamentals of numerical computation (computer-oriented numerical analysis) SE-3 (pp. 33–49). Vienna: Springer. doi:10.1007/978-3-7091-8577-3_3.

    Chapter  Google Scholar 

  • Kumar, V. V., & Chan, F. T. S. (2011). A superiority search and optimisation algorithm to solve RFID and an environmental factor embedded closed loop logistics model. International Journal of Production Research, 49(16), 4807–4831. doi:10.1080/00207543.2010.503201.

    Article  Google Scholar 

  • Kumar, V. V., Chan, F. T. S., Mishra, N., & Kumar, V. (2010). Environmental integrated closed loop logistics model: An artificial bee colony approach. In Supply chain management and information systems (SCMIS), 2010 8th international conference on.

  • Kumar, V. V., Liou, F. W., Balakrishnan, S. N., & Kumar, V. (2013). Economical impact of RFID implementation in remanufacturing: A chaos-based interactive artificial bee colony approach. Journal of Intelligent Manufacturing. doi:10.1007/s10845-013-0836-9.

  • Naeem, M. A., Dias, D. J., Tibrewal, R., Chang, P. C., & Tiwari, M. K. (2012). Production planning optimization for manufacturing and remanufacturing system in stochastic environment. Journal of Intelligent Manufacturing, 24(4), 717–728. doi:10.1007/s10845-011-0619-0.

  • Östlin, J., Sundin, E., & Björkman, M. (2008). Importance of closed-loop supply chain relationships for product remanufacturing. International Journal of Production Economics, 115(2), 336–348. doi:10.1016/j.ijpe.2008.02.020.

    Article  Google Scholar 

  • Rao, S. S., & Berke, L. (1997). Analysis of uncertain structural systems using interval analysis. AIAA Journal, 35, 727–735. doi:10.2514/2.164.

    Article  Google Scholar 

  • Savaskan, R. C., Bhattacharya, S., & Van Wassenhove, L. N. (2004). Closed-loop supply chain models with product remanufacturing. Management Science, 50(2), 239–252. doi:10.1287/mnsc.1030.0186.

    Article  Google Scholar 

  • Schultmann, F., Zumkeller, M., & Rentz, O. (2006). Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry. European Journal of Operational Research, 171(3), 1033–1050. doi:10.1016/j.ejor.2005.01.016.

  • Shevtshenko, E., & Wang, Y. (2009). Decision support under uncertainties based on robust Bayesian networks in reverse logistics management. International Journal of Computer Applications in Technology, 36(3–4), 247–258. doi:10.1504/IJCAT.2009.028047.

    Article  Google Scholar 

  • Shi, Y., Nie, J., Qu, T., Chu, L. K., & Sculli, D. (2015). Choosing reverse channels under collection responsibility sharing in a closed-loop supply chain with re-manufacturing. Journal of Intelligent Manufacturing, 26(2), 387–402. doi:10.1007/s10845-013-0797-z.

    Article  Google Scholar 

  • Steinhilper, R. (1998). Remanufacturing: The ultimate form of recycling. Fraunhofer-IRB-Verlag Stuttgart.

  • Teunter, R. H., & Flapper, S. D. P. (2011). Optimal core acquisition and remanufacturing policies under uncertain core quality fractions. European Journal of Operational Research, 210(2), 241–248. doi:10.1016/j.ejor.2010.06.015.

    Article  Google Scholar 

  • Wang, Y. (2010). Imprecise probabilities based on generalised intervals for system reliability assessment. International Journal of Reliability and Safety, 4(4), 319–342. doi:10.1504/IJRS.2010.035572.

    Article  Google Scholar 

  • Wei, J., & Zhao, J. (2013). Reverse channel decisions for a fuzzy closed-loop supply chain. Applied Mathematical Modelling, 37(3), 1502–1513. doi:10.1016/j.apm.2012.04.003.

    Article  Google Scholar 

  • Xie, F., Wu, B., Hu, Y., Wang, Y., Jia, G., & Cheng, Y. (2014). A generalized interval probability-based optimization method for training generalized hidden Markov model. Signal Processing, 94(1), 319–329. doi:10.1016/j.sigpro.2013.06.009.

    Article  Google Scholar 

  • Xu, J., & Liu, N. (2014). Research on closed loop supply chain with reference price effect. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-014-0961-0.

    Google Scholar 

Download references

Acknowledgments

This research is supported by the National High Technology Research and Development Program of P.R. China under Grant No. 2013AA040206. The authors sincerely thank the editors and the anonymous reviewers for their kind comments.

Author information

Authors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, 430074, Hubei, China

    Min Huang, Pengxing Yi, Tielin Shi & Lijun Guo

Authors
  1. Min Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pengxing Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tielin Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lijun Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pengxing Yi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, M., Yi, P., Shi, T. et al. A modal interval based method for dynamic decision model considering uncertain quality of used products in remanufacturing. J Intell Manuf 29, 925–935 (2018). https://doi.org/10.1007/s10845-015-1151-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-015-1151-4

Keywords

Search

Navigation