Modelling reverse e-logistics’ factors
Author:
Publisher
Vilnius Gediminas Technical University
Link
http://dspace.vgtu.lt/bitstream/1/4344/1/M_Majzoub%20disertacija.pdf
Reference184 articles.
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2. Accorsi, R., Manzini, R., & Maranesi, F. (2014). A decision-support system for the design and management of warehousing systems. Computers in Industry, 65(1), 175-186. https://doi.org/10.1016/j.compind.2013.08.007.
3. Agarwal, V., Govindan, K., Darbari, J. D., & Jha, P. C. (2016). An optimization model for sustainable solutions towards implementation of reverse logistics under collaborative framework. International Journal of Systems Assurance Engineering and Management, 7(4), 480-487. https://doi.org/10.1007/s13198-016-0486-3
4. Agatz, N. A. H., Fleischmann, M., & van Nunen, J. A. E. E. (2008). E-fulfilment and mul-ti-channel distribution - A review. European Journal of Operational Research, 187(2), 339-356. https://doi.org/10.1016/j.ejor.2007.04.024
5. Agrawal, S., Singh, R. K., & Murtaza, Q. (2016). Triple bottom line performance evalu-ation of reverse logistics. Competitiveness Review, 26(3), 289-310. https://doi.org/10.1108/CR-04-2015-0029.
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