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Original Articles

Component oriented remanufacturing decision-making for complex product using DEA and interval 2-tuple linguistic TOPSIS

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Pages 984-1000 | Received 23 Jan 2016, Accepted 21 Jun 2016, Published online: 28 Sep 2016

References

  • Gray, C., & Charter, M. (2006). Remanufacturing and Product Design: Designing for the 7th Generation. The Centre for Sustainable Design. University College for the Creative Arts, Farnham, UK.
  • Guintini, 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
  • Martin, P., Guide, Jr., & Craighead, C.W. (2010). Supply chain sourcing in remanufacturing operations: an empirical investigation of remake versus buy. Decision Sciences, 41 (2), 301–324. doi: 10.1111/j.1540-5915.2010.00264.x
  • Ferguson, M. (2010). Strategic issues in closed loop supply chain with remanufacturing. In: Ferguson,Mark E., Souza, Gilvan C. (Eds.), Closed-Loop Supply Chains, New Developments to Improve the Sustainability of Business Practices. Auerbach Publications, ISBN 978–142009525-8 eBook ISBN: 978-1-4200-9526-5.
  • Ullah, S.M.S., Muhammad, I., & Ko, T.J. (2016). Optimal strategy to deal with decision making problems in machine tools remanufacturing. International Journal of Precision Engineering and Manufacturing-green Technology, 3(1), 1–8. doi: 10.1007/s40684-016-0003-9
  • Karaulova, T., & Bashkite, V.(2016). Decision-making framework for used industrial equipment. Inzinerine Ekonomika-Engineering Economics, 27(1), 23–31.
  • Goodall, P., Rosamond, E., & Harding, J. (2014). A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility. Journal of Cleaner Production, 81(15), 1–15. doi: 10.1016/j.jclepro.2014.06.014
  • Klir, GJ., &Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications. Englewood Cliffs, NJ: PrenticeHall.
  • Yager, RR. (1981). A new methodology for ordinal multi objective decisions based on fuzzy sets. Decision Science, 12(4), 580–600. doi: 10.1111/j.1540-5915.1981.tb00111.x
  • Carsson, C., & Fuller, R. (2000). Benchmarking and linguistic importance weighted aggregations. Fuzzy Sets System, 114(1), 35–42. doi: 10.1016/S0165-0114(98)00047-5
  • Herrera, F., & Martínez, L. (2000). A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Systems, 8(6), 746–752. doi: 10.1109/91.890332
  • Liu, HC., Liu, L., & Wu, J. (2013). Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials and Design, 52,158–167. doi: 10.1016/j.matdes.2013.05.054
  • Merigo, J.M., & Gil-Lafuente, A.M. (2013). Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Information Sciences, 236, 1–16. doi: 10.1016/j.ins.2013.02.039
  • Zhang, L. (2011). A model for evaluating computer network security systems with 2-tuple linguistic information. Computers and Mathematics with Applications, 62(4), 1916–1922. doi: 10.1016/j.camwa.2011.06.035
  • Lin, J., Lan, J.B., & Lin, Y.H. (2009) Multi-attribute group decision-making method based on the aggregation operators of interval 2-tuple linguistic information, Journal of Jilin Normal University, 1, 5–9.
  • Hwang, C., & Yoon, K. (1981). Multiple attribute decision making: methods and applications: a state-ofthe-art survey: Springer-Verlag , New York.
  • Lund, R.T., & Hauser, W.M. (2010). Remanufacturing – an American perspective. In: Annals of 5th international Conference on Responsive Manufacturing e Green Manufacturing. China.
  • Lebreton, B. & Tuma, A. (2006). A quantitative approach to assessing the profitability of car and truck tire remanufacturing. Internal Journal of Production Economics, 104(2), 639–652. doi: 10.1016/j.ijpe.2004.11.010
  • Seitz, M. A. (2007). A critical assessment of motives for product recovery: the case of engine remanufacturing. Journal of Cleaner Production, 15(11–12), 1147–1157. doi: 10.1016/j.jclepro.2006.05.029
  • Rathore, P., Kota, S., & Chakrabarti, A. (2011). Sustainability through remanufacturing in India: a case study on mobile handsets. Journal of Cleaner Production, 19(15), 1709–1722. doi: 10.1016/j.jclepro.2011.06.016
  • Subramoniam, R., Huisingh, D., & Chinnam, R.B. (2010). Aftermarket remanufacturing strategic planning decision-making framework: theory & practice. Journal of Cleaner Production, 18 (16–17), 1575–1586. doi: 10.1016/j.jclepro.2010.07.022
  • Subramoniam, R., Huisingh, D., Chinnam, R.B., & Subramoniam, S. (2013). Remanufacturing DecisionMaking Framework (RDMF): research validation using the analytical hierarchical process. Journal of Cleaner Production, 40, 212–220. doi: 10.1016/j.jclepro.2011.09.004
  • Jiang, Z., Zhang, H., & Sutherland, J.W. (2011). Development of multi-criteria decision making model for remanufacturing technology portfolio selection. Journal of Cleaner Production, 19, 1939–1945. doi: 10.1016/j.jclepro.2011.07.010
  • Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. doi: 10.1016/0377-2217(78)90138-8
  • Adler, N., Friedman, L., & Sinuany-Stern, Z. (2002). Review of ranking methods in the data envelopment analysis context. European Journal of Operational Research, 140(2), 249–265. doi: 10.1016/S0377-2217(02)00068-1
  • Zerafat Angiz L, M., Emrouznejad, A., Mustafa, A., & Rashidi Komijan, A. (2009). Selecting the most preferable alternatives in a group decision making problem using DEA. Expert Systems with Applications, 36(5), 9599–9602. doi: 10.1016/j.eswa.2008.07.011
  • Xu, J., Li, B., &Wu, D. (2009). Rough data envelopment analysis and its application to supply chain performance evaluation. International Journal of Production Economics, 122(2), 628–638. doi: 10.1016/j.ijpe.2009.06.026
  • Wang, Y.-M., Luo, Y., & Liang, L. (2009). Fuzzy data envelopment analysis based upon fuzzy arithmetic with an application to performance assessment of manufacturing enterprises. Expert Systems with Applications, 36(3), 5205–5211. doi: 10.1016/j.eswa.2008.06.102
  • Dotoli, M.&Falagario, M. (2012).A hierarchical model for optimal supplier selection in multiple sourcing contexts. International Journal of Production Research, 50(11): 2953–2967. doi: 10.1080/00207543.2011.578167
  • Dotoli, M., Falagario, M., Mangini, A. M.,& Sciancalepore, F. (2010). An extension of the DEA model for supplier evaluation and selection. In: Proceedings of the 15th IEEE international conference on emerging technologies and factory automation, 13–16 September, Bilbao, Spain. Bilbao: Institute of Electrical and Electronics Engineers (IEEE), 1–8.
  • Kuo, R.J., & Lin, Y.J. (2012). Supplier selection using analytic network process and data envelopment analysis. International Journal of Production Research, 50(11), 2852–2863. doi: 10.1080/00207543.2011.559487
  • Wu, T., & Blackhurst, J. (2009). Supplier evaluation and selection: an augmented DEA approach. International Journal of Production Research, 47(16), 4593–4608. doi: 10.1080/00207540802054227
  • Rodríguez, R.M., & Martínez, L. (2013). An analysis of symbolic linguistic computing models in decision making. International Journal of General Systems, 42(1): 121–136. doi: 10.1080/03081079.2012.710442
  • Sun, J., Kalenchuk, D., Xue, D., & Gu, P. (2000). Design candidate identification using neural network-based fuzzy reasoning. Robotics and Computer Integrated Manufacturing, 16(5), 383–396. doi: 10.1016/S0736-5845(00)00017-X
  • Tsai, H., & Hsiao, S. (2004). Evaluation of alternatives for product customization using fuzzy logic. Information Sciences, 158, 233–262. doi: 10.1016/j.ins.2003.08.001
  • Martínez, L., & Herrera, F. (2012). An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges. Information Sciences, 207(10), 1–18. doi: 10.1016/j.ins.2012.04.025
  • Zhang, H. (2012). The multiattribute group decision making method based on aggregation operators with interval-valued 2-tuple linguistic information. Mathematical and Computer Modelling, 56(1–2), 27–35. doi: 10.1016/j.mcm.2012.01.001
  • Zhang, H. (2013). Some interval-valued 2-tuple linguistic aggregation operators and application in multiattribute group decision making. Applied Mathematical Modelling, 37(6), 4269–4282. doi: 10.1016/j.apm.2012.09.033
  • Saaty, T. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26. doi: 10.1016/0377-2217(90)90057-I
  • Brunelli, M., & Fedrizzi, M. (2007). Fair consistency evaluation in fuzzy preference relations and in AHP. Lecture notes in computer science, 4693, 612–618. doi: 10.1007/978-3-540-74827-4_77
  • Awasthi, A., Chauhan, S.S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers & Industrial Engineering, 61(3),637–646. doi: 10.1016/j.cie.2011.04.019
  • Kutlu, A.C., & Ekmekcioglu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1):61–67. doi: 10.1016/j.eswa.2011.06.044
  • Liao, C., & Kao, H. (2013). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications, 38(9), 10803–10811. doi: 10.1016/j.eswa.2011.02.031
  • Boran, F. E., Kurt, M., & Akay, D. (2009). A multi criteria intuitionistic fuzzy group decision making for selection of supplier with TOPSIS method. Expert Systems with Applications, 36(8): 11363–11368. doi: 10.1016/j.eswa.2009.03.039
  • Geng, X., Chu, N., & Zhang, Z. (2010). A new integrated design concept evaluation approach based on vague sets. Expert Systems with Applications, 37(9), 6629–6638. doi: 10.1016/j.eswa.2010.03.058
  • Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega (The International Journal of Management Science), 17(3), 237–250. doi: 10.1016/0305-0483(89)90029-7
  • Charnes, A., & Cooper, W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3–4), 181–186. doi: 10.1002/nav.3800090303
  • Herrera, F., Herrera-Viedma, E., & Martínez, L. (2000). A fusion approach for managing multi-granularity linguistic term sets in decision making. Fuzzy Sets System, 114, 43–58. doi: 10.1016/S0165-0114(98)00093-1

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