How to cite this paper
Son, N & Hop, N. (2021). A hybrid meta-heuristics approach for supplier selection and order allocation problem for supplying risks of recyclable raw materials.International Journal of Industrial Engineering Computations , 12(2), 177-190.
Refrences
Anghinolfi, D., Paolucci, M., Robba, M.,& Taramasso, A. C. (2013). A dynamic optimization model for solid waste recycling. Waste Management, 33(2), 287–296. https://doi.org/10.1016/j.wasman.2012.10.006
Al-E-Hashem, S. M. J. M., Baboli, A., & Sazvar, Z. (2013). A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions. European Journal of Operational Research, 230(1), 26–41. https://doi.org/10.1016/j.ejor.2013.03.033
Badran, M. F., & El-Haggar, S. M.(2006). Optimization of municipal solid waste management in Port Said – Egypt. Waste Management, 26(5), 534–545.https://doi.org/10.1016/j.wasman.2005.05.005
Chang, N. B., Qi, C., Islam, K.,& Hossain, F.(2012). Comparisons between global warming potential and cost-benefit criteria for optimal planning of a municipal solid waste management system. Journal of Cleaner Production, 20 (1), 1–13.https://doi.org/10.1016/j.jclepro.2011.08.017
Cheraghalipour, A., & Farsad, S. (2018). A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry.Computers & Industrial Engineering, 118, 237 – 250.https://doi.org/10.1016/j.cie.2018.02.041
Gharfalkar, M., Court, R., Campbell, C., Ali, Z.,& Hillier, G. (2015). Analysis of waste hierarchy in the European waste directive 2008/98/EC. Waste Management,39, 305–313. https://doi.org/10.1016/j.wasman.2015.02.007
Govindan, K., & Sivakumar, R. (2016). Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Annals of Operations Research, 238(1), 243-276.https://link.springer.com/article/10.1007/s10479-015-2004-4
Hamdan, S., &Cheaitou, A. (2017). Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availablity. Computers and Industrial Engineering, 110, 573 – 589.https://doi.org/10.1016/j.cie.2017.03.028
Kim, H., Lu, J. C., Kvam, P. H.,& Tsao, Y. C. (2011). Ordering quantity decisions considering uncertainty in supply-chain logistics operations. International Journal of Production Economics, 134(1), 16–27. https://doi.org/10.1016/j.ijpe.2011.02.017
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks, 4, 1942- 1948. http://dx.doi.org/10.1109/ICNN.1995.488968
Kumar, D., Rahman, Z., & Chan, F.T.S. (2016). A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: a case study.International Journal of Computer Integrated Manufacturing, 30(6), 535 – 551.https://doi.org/10.1080/0951192X.2016.1145813
Mirjalili, S., Mirjalili, S.M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in Engineering Software, 69, 46 – 61.https://doi.org/10.1016/j.advengsoft.2013.12.007
Moheb-Alizadeh, H., &Handfield, R. (2017). An integrated chanceconstrained stochastic model for efficient and sustainable supplier selection and order allocation, International Journal of Production Research, 56 (2), 1 - 27.https://doi.org/10.1080/00207543.2017.1413258
Modhaddam, K.S. (2015). Supplier selection and order allocation in closed-loop supply chain systems using hybrid Monte Carlo simulation and goal programming, International Journal of Production Research, 53(20), 1-19. https://doi.org/10.1080/00207543.2015.1054452
Sawik, T. (2013). Integrated selection of suppliers and scheduling of customer orders in the presence of supply chaindisruption risks. International Journal of Production Research, 51(23), 7006-7022.https://doi.org/10.1080/00207543.2013.852702
Shi, Y., &Eberhart, R.C. (1998). A modified Particle Swarm Optimizer. Proceedings of the 1998 IEEE International Conference on Conference: Evolutionary Computation. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 69-73. https://ieeexplore.ieee.org/document/699146
Tsai, W.C. (2015). Order allocation for multi-item sourcing with supply disruptions in shipment quality and delivery. International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, 18(6), 494-517.https://doi.org/10.1080/13675567.2015.1012153
Vahidi, F., Torabi, S.A.,& Ramezankhani,M.J. (2017). Sustainable supplier selection and order allocation under operational and disruption risks. Journal of Cleaner Production, 174, 1351 – 1365.https://doi.org/10.1016/j.jclepro.2017.11.012
Venkatesan, S.P., & Goh, M. (2016). Multi-objective supplier selection and order allocation under disruption risk. Transportation Research, Part E, 95, 124 – 142.https://doi.org/10.1016/j.tre.2016.09.005
Xu, Z., Elomri, A., Pokharel, S., Zhang, Q., Ming, X. G.,& Liu, W.(2017). Global reverse supply chain design for solid waste recycling under uncertainties and carbon emission constraint. Waste Management, 64, 358–370. https://doi.org/10.1016/j.wasman.2017.02.024
Zhang, Y., Huang, G. H.,&He, L. (2014). A multi-echelon supply chain model for municipal solid waste management system. Waste Management,34(2), 553–561. https://doi.org/10.1016/j.wasman.2013.10.002
Al-E-Hashem, S. M. J. M., Baboli, A., & Sazvar, Z. (2013). A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions. European Journal of Operational Research, 230(1), 26–41. https://doi.org/10.1016/j.ejor.2013.03.033
Badran, M. F., & El-Haggar, S. M.(2006). Optimization of municipal solid waste management in Port Said – Egypt. Waste Management, 26(5), 534–545.https://doi.org/10.1016/j.wasman.2005.05.005
Chang, N. B., Qi, C., Islam, K.,& Hossain, F.(2012). Comparisons between global warming potential and cost-benefit criteria for optimal planning of a municipal solid waste management system. Journal of Cleaner Production, 20 (1), 1–13.https://doi.org/10.1016/j.jclepro.2011.08.017
Cheraghalipour, A., & Farsad, S. (2018). A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry.Computers & Industrial Engineering, 118, 237 – 250.https://doi.org/10.1016/j.cie.2018.02.041
Gharfalkar, M., Court, R., Campbell, C., Ali, Z.,& Hillier, G. (2015). Analysis of waste hierarchy in the European waste directive 2008/98/EC. Waste Management,39, 305–313. https://doi.org/10.1016/j.wasman.2015.02.007
Govindan, K., & Sivakumar, R. (2016). Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Annals of Operations Research, 238(1), 243-276.https://link.springer.com/article/10.1007/s10479-015-2004-4
Hamdan, S., &Cheaitou, A. (2017). Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availablity. Computers and Industrial Engineering, 110, 573 – 589.https://doi.org/10.1016/j.cie.2017.03.028
Kim, H., Lu, J. C., Kvam, P. H.,& Tsao, Y. C. (2011). Ordering quantity decisions considering uncertainty in supply-chain logistics operations. International Journal of Production Economics, 134(1), 16–27. https://doi.org/10.1016/j.ijpe.2011.02.017
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks, 4, 1942- 1948. http://dx.doi.org/10.1109/ICNN.1995.488968
Kumar, D., Rahman, Z., & Chan, F.T.S. (2016). A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: a case study.International Journal of Computer Integrated Manufacturing, 30(6), 535 – 551.https://doi.org/10.1080/0951192X.2016.1145813
Mirjalili, S., Mirjalili, S.M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in Engineering Software, 69, 46 – 61.https://doi.org/10.1016/j.advengsoft.2013.12.007
Moheb-Alizadeh, H., &Handfield, R. (2017). An integrated chanceconstrained stochastic model for efficient and sustainable supplier selection and order allocation, International Journal of Production Research, 56 (2), 1 - 27.https://doi.org/10.1080/00207543.2017.1413258
Modhaddam, K.S. (2015). Supplier selection and order allocation in closed-loop supply chain systems using hybrid Monte Carlo simulation and goal programming, International Journal of Production Research, 53(20), 1-19. https://doi.org/10.1080/00207543.2015.1054452
Sawik, T. (2013). Integrated selection of suppliers and scheduling of customer orders in the presence of supply chaindisruption risks. International Journal of Production Research, 51(23), 7006-7022.https://doi.org/10.1080/00207543.2013.852702
Shi, Y., &Eberhart, R.C. (1998). A modified Particle Swarm Optimizer. Proceedings of the 1998 IEEE International Conference on Conference: Evolutionary Computation. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 69-73. https://ieeexplore.ieee.org/document/699146
Tsai, W.C. (2015). Order allocation for multi-item sourcing with supply disruptions in shipment quality and delivery. International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, 18(6), 494-517.https://doi.org/10.1080/13675567.2015.1012153
Vahidi, F., Torabi, S.A.,& Ramezankhani,M.J. (2017). Sustainable supplier selection and order allocation under operational and disruption risks. Journal of Cleaner Production, 174, 1351 – 1365.https://doi.org/10.1016/j.jclepro.2017.11.012
Venkatesan, S.P., & Goh, M. (2016). Multi-objective supplier selection and order allocation under disruption risk. Transportation Research, Part E, 95, 124 – 142.https://doi.org/10.1016/j.tre.2016.09.005
Xu, Z., Elomri, A., Pokharel, S., Zhang, Q., Ming, X. G.,& Liu, W.(2017). Global reverse supply chain design for solid waste recycling under uncertainties and carbon emission constraint. Waste Management, 64, 358–370. https://doi.org/10.1016/j.wasman.2017.02.024
Zhang, Y., Huang, G. H.,&He, L. (2014). A multi-echelon supply chain model for municipal solid waste management system. Waste Management,34(2), 553–561. https://doi.org/10.1016/j.wasman.2013.10.002