caa a22 4500 605470723 CHVBK 20210128100329.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00500-014-1465-8 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1465-8 Development of an optimization model for product returns using genetic algorithms and simulated annealing [Elektronische Daten] [Vahidreza Ghezavati, Niloofar Nia] Product returns have become a significant management issue and an unavoidable cost for a business. This situation made firms to consider the possibility of managing product returns in a more cost-efficient way. In this paper, we develop a mixed integer non-linear programming model of a three-stage logistics network to optimize the number and location of collection/inspection centers and recovery centers as well as collection frequency with the objective of minimizing the total costs which include the reverse logistics shipping costs and fixed costs of opening facilities. We propose two solution algorithms based on genetic algorithm (GA) and simulated annealing (SA). Numerical experiments are used to illustrate the effectiveness and efficiency of the proposed solution approaches and compare the results with the previous works. Springer-Verlag Berlin Heidelberg, 2014 Reverse logistics nationallicence Location-allocation nationallicence Genetic algorithm (GA) nationallicence Simulated annealing (SA) nationallicence Ghezavati Vahidreza School of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran aut Nia Niloofar School of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran aut Soft Computing Springer Berlin Heidelberg 19/11(2015-11-01), 3055-3069 1432-7643 19:11<3055 2015 19 500 https://doi.org/10.1007/s00500-014-1465-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1465-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ghezavati Vahidreza School of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran aut NATIONALLICENCE 700 1- Nia Niloofar School of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/11(2015-11-01), 3055-3069 1432-7643 19:11<3055 2015 19 500