How to cite this paper
Rachih, H., Mhada, F & Chiheb, R. (2022). Simulation optimization of an inventory control model for a reverse logistics system.Decision Science Letters , 11(1), 43-54.
Refrences
Ahiska, S. S., Gocer, F., & King, R. E. (2017). Heuristic inventory policies for a hybrid manufacturing/remanufacturing system with product substitution. Computers \& Industrial Engineering, 114, 206–222.
Akçali, E., & Çetinkaya, S. (2011). Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373–2407.
Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, Conservation and Recycling, 104, 391–404. https://doi.org/10.1016/j.resconrec.2015.07.006
Bazan, E., Jaber, M. Y., & Zanoni, S. (2016). A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective. Applied Mathematical Modelling, 40(5–6), 4151–4178. https://doi.org/10.1016/j.apm.2015.11.027
Cobb, B. R. (2016). Inventory control for returnable transport items in a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 86, 53–68.
De Brito, M. P., & Dekker, R. (2003). A framework for reverse logistics. ERIM report series research in Management. Erasmus Research Institute of Management.
Dev, N. K., Shankar, R., & Swami, S. (2019). Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system. International Journal of Production Economics, 223, 107–519.
Dias, L. M. S., Vieira, A. A. C., Pereira, G. A. B., & Oliveira, J. A. (2016). Discrete simulation software ranking; A top list of the worldwide most popular and used tools. 2016 Winter Simulation Conference (WSC), 1060–1071. https://doi.org/10.1109/WSC.2016.7822165
Ghosh, T., Sengupta, S., Chattopadhyay, M., & Dan, P. (2011). Meta-heuristics in cellular manufacturing: A state-of-the-art review. International Journal of Industrial Engineering Computations, 2(1), 87–122.
Glover, F. (1989). Tabu search—part I. ORSA Journal on Computing, 1(3), 190–206.
Glover, F., & Laguna, M. (1998). Tabu search. In Handbook of combinatorial optimization (pp. 2093–2229). Springer.
Helber, S., Schimmelpfeng, K., Stolletz, R., & Lagershausen, S. (2011). Using linear programming to analyze and optimize stochastic flow lines. Annals of Operations Research, 182(1), 193–211.
Jaber, M. Y., & El Saadany, A. M. A. (2009). The production, remanufacture and waste disposal model with lost sales. International Journal of Production Economics, 120(1), 115–124.
Kenne, J.-P., Dejax, P., & Gharbi, A. (2012). Production planning of a hybrid manufacturing--remanufacturing system under uncertainty within a closed-loop supply chain. International Journal of Production Economics, 135(1), 81–93.
Lancioni, R. A. (2000). New Developments in Supply Chain Management for the Millennium. Industrial Marketing Management, 29(1), 1–6. https://doi.org/https://doi.org/10.1016/S0019-8501(99)00106-6
Mabini, M. C., Pintelon, L. M., & Gelders, L. F. (1992). EOQ type formulations for controlling repairable inventories. International Journal of Production Economics, 28(1), 21–33.
Mhada, F. Z., Malhamé, R. P., & Pellerin, R. (2013). Joint assignment of buffer sizes and inspection points in unreliable transfer lines with scrapping of defective parts. Production \& Manufacturing Research, 1(1), 79–101.
Moritz, F., Bloemhof-Ruwaard, J. M., der Laan, V., Van Nunen, E., Jo, A. E. E., & Van Wassenhove, L. N. (1997). Quantitative models for reverse logistics: A review. European Journal of Operational Research, 103(1), 1–17.
Rachih, H., Mhada, F. Z., & Chiheb, R. (2019). Meta-heuristics for reverse logistics: A literature review and perspectives. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2018.11.058
Richter, K. (1996). The EOQ repair and waste disposal model with variable setup numbers. European Journal of Operational Research, 95(2), 313–324.
Richter, K. (1997). Pure and mixed strategies for the EOQ repair and waste disposal problem. Operations-Research-Spektrum, 19(2), 123–129.
Richter, K. (1994). An EOQ repair and waste disposal mode. Eighth International Working Seminar on Production Economics, 83–91.
Rossetti, M. D. (2015). Simulation modeling and Arena. John Wiley \& Sons.
Schrady, D. A. (1967). A deterministic inventory model for reparable items. Naval Research Logistics Quarterly, 14(3), 391–398.
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2004). Managing The Supply Chain: Definitive Guide. Tata McGraw-Hill Education.
Teunter, R. H. (2001). Economic ordering quantities for recoverable item inventory systems. Naval Research Logistics (NRL), 48(6), 484–495.
Teunter, R. H., & Vlachos, D. (2002). On the necessity of a disposal option for returned items that can be remanufactured. International Journal of Production Economics, 75(3), 257–266.
Akçali, E., & Çetinkaya, S. (2011). Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373–2407.
Ayvaz, B., Bolat, B., & Aydın, N. (2015). Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, Conservation and Recycling, 104, 391–404. https://doi.org/10.1016/j.resconrec.2015.07.006
Bazan, E., Jaber, M. Y., & Zanoni, S. (2016). A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective. Applied Mathematical Modelling, 40(5–6), 4151–4178. https://doi.org/10.1016/j.apm.2015.11.027
Cobb, B. R. (2016). Inventory control for returnable transport items in a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 86, 53–68.
De Brito, M. P., & Dekker, R. (2003). A framework for reverse logistics. ERIM report series research in Management. Erasmus Research Institute of Management.
Dev, N. K., Shankar, R., & Swami, S. (2019). Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system. International Journal of Production Economics, 223, 107–519.
Dias, L. M. S., Vieira, A. A. C., Pereira, G. A. B., & Oliveira, J. A. (2016). Discrete simulation software ranking; A top list of the worldwide most popular and used tools. 2016 Winter Simulation Conference (WSC), 1060–1071. https://doi.org/10.1109/WSC.2016.7822165
Ghosh, T., Sengupta, S., Chattopadhyay, M., & Dan, P. (2011). Meta-heuristics in cellular manufacturing: A state-of-the-art review. International Journal of Industrial Engineering Computations, 2(1), 87–122.
Glover, F. (1989). Tabu search—part I. ORSA Journal on Computing, 1(3), 190–206.
Glover, F., & Laguna, M. (1998). Tabu search. In Handbook of combinatorial optimization (pp. 2093–2229). Springer.
Helber, S., Schimmelpfeng, K., Stolletz, R., & Lagershausen, S. (2011). Using linear programming to analyze and optimize stochastic flow lines. Annals of Operations Research, 182(1), 193–211.
Jaber, M. Y., & El Saadany, A. M. A. (2009). The production, remanufacture and waste disposal model with lost sales. International Journal of Production Economics, 120(1), 115–124.
Kenne, J.-P., Dejax, P., & Gharbi, A. (2012). Production planning of a hybrid manufacturing--remanufacturing system under uncertainty within a closed-loop supply chain. International Journal of Production Economics, 135(1), 81–93.
Lancioni, R. A. (2000). New Developments in Supply Chain Management for the Millennium. Industrial Marketing Management, 29(1), 1–6. https://doi.org/https://doi.org/10.1016/S0019-8501(99)00106-6
Mabini, M. C., Pintelon, L. M., & Gelders, L. F. (1992). EOQ type formulations for controlling repairable inventories. International Journal of Production Economics, 28(1), 21–33.
Mhada, F. Z., Malhamé, R. P., & Pellerin, R. (2013). Joint assignment of buffer sizes and inspection points in unreliable transfer lines with scrapping of defective parts. Production \& Manufacturing Research, 1(1), 79–101.
Moritz, F., Bloemhof-Ruwaard, J. M., der Laan, V., Van Nunen, E., Jo, A. E. E., & Van Wassenhove, L. N. (1997). Quantitative models for reverse logistics: A review. European Journal of Operational Research, 103(1), 1–17.
Rachih, H., Mhada, F. Z., & Chiheb, R. (2019). Meta-heuristics for reverse logistics: A literature review and perspectives. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2018.11.058
Richter, K. (1996). The EOQ repair and waste disposal model with variable setup numbers. European Journal of Operational Research, 95(2), 313–324.
Richter, K. (1997). Pure and mixed strategies for the EOQ repair and waste disposal problem. Operations-Research-Spektrum, 19(2), 123–129.
Richter, K. (1994). An EOQ repair and waste disposal mode. Eighth International Working Seminar on Production Economics, 83–91.
Rossetti, M. D. (2015). Simulation modeling and Arena. John Wiley \& Sons.
Schrady, D. A. (1967). A deterministic inventory model for reparable items. Naval Research Logistics Quarterly, 14(3), 391–398.
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2004). Managing The Supply Chain: Definitive Guide. Tata McGraw-Hill Education.
Teunter, R. H. (2001). Economic ordering quantities for recoverable item inventory systems. Naval Research Logistics (NRL), 48(6), 484–495.
Teunter, R. H., & Vlachos, D. (2002). On the necessity of a disposal option for returned items that can be remanufactured. International Journal of Production Economics, 75(3), 257–266.