How to cite this paper
Kanan, M., Dawwas, E., Saleh, Y., Othman, M., Assaf, R., Hamdan, A., Abu-Saq, Z & Zahran, S. (2023). An optimization model for a sustainable closed-loop supply chain considering efficient supplier selection and total quantity discount policies.Uncertain Supply Chain Management, 11(3), 1223-1246.
Refrences
Al-Rawashdeh, O. M., Jawabreh, O., & Ali, B. J. (2023). Supply Chain Management and Organizational Performance: The Moderating Effect of Supply Chain Complexity. Information Sciences Letters, 12(3), 1673-1684.
ALNawaiseh, K. H., Hamzeh, A. A., Al Shibly, M., Almari, M. O., AbuOrabi, T. G. A. O., Jerisat, R. R., . . . badadwa, A. a. (2022). The Relationship Between the Enterprise Resource Planning System and Maintenance Planning System: An Empirical Study. Information Sciences Letters, 11(5), 1-11
Arena, U., Mastellone, M. L., & Perugini, F. (2003). The environmental performance of alternative solid waste management options: a life cycle assessment study. Chemical engineering journal, 96(1-3), 207-222.
Barbosa-Póvoa, A. P., da Silva, C., & Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European journal of operational research, 268(2), 399-431.
Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54, 180-194.
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European journal of operational research, 233(2), 299-312.
Buhayenko, V., & den Hertog, D. (2017). Adjustable robust optimisation approach to optimise discounts for multi-period supply chain coordination under demand uncertainty. International Journal of Production Research, 55(22), 6801-6823.
Chalmardi, M. K., & Camacho-Vallejo, J.-F. (2019). A bi-level programming model for sustainable supply chain network design that considers incentives for using cleaner technologies. Journal of Cleaner Production, 213, 1035-1050.
Chanchaichujit, J., Pham, Q. C., & Tan, A. (2019). Sustainable supply chain management: A literature review of recent mathematical modelling approaches. International Journal of Logistics Systems and Management, 33(4), 467-496.
Chen, Z., & Andresen, S. (2014). A multiobjective optimization model of production-sourcing for sustainable supply chain with consideration of social, environmental, and economic factors. Mathematical Problems in Engineering, 2014.
Chiou, T.-Y., Chan, H. K., Lettice, F., & Chung, S. H. (2011). The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 47(6), 822-836.
Ciccullo, F., Pero, M., Caridi, M., Gosling, J., & Purvis, L. (2018). Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: A literature review and future research directions. Journal of Cleaner Production, 172, 2336-2350.
Darnall, N., Jolley, G. J., & Handfield, R. (2008). Environmental management systems and green supply chain management: complements for sustainability? Business Strategy and the Environment, 17(1), 30-45.
Dayhim, M., Jafari, M. A., & Mazurek, M. (2014). Planning sustainable hydrogen supply chain infrastructure with uncertain demand. International Journal of Hydrogen Energy, 39(13), 6789-6801.
Dekker, R., Bloemhof, J., & Mallidis, I. (2012). Operations Research for green logistics–An overview of aspects, issues, contributions and challenges. European journal of operational research, 219(3), 671-679.
Demartini, M., Pinna, C., Aliakbarian, B., Tonelli, F., & Terzi, S. (2018). Soft drink supply chain sustainability: A case based approach to identify and explain best practices and key performance indicators. Sustainability, 10(10), 3540.
Demartini, M., Tonelli, F., & Bertani, F. (2018). Approaching industrial symbiosis through agent-based modeling and system dynamics. Service Orientation in Holonic and Multi-Agent Manufacturing: Proceedings of SOHOMA 2017, 171-185.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.
Govindan, K., & Cheng, T. (2015). Sustainable supply chain management. Computers and Operations Research, 54(C), 177-179.
Govindan, K., Jafarian, A., & Nourbakhsh, V. (2015). Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic. Computers & Operations Research, 62, 112-130.
Hussain, M., Awasthi, A., & Tiwari, M. K. (2016). Interpretive structural modeling-analytic network process integrated framework for evaluating sustainable supply chain management alternatives. Applied Mathematical Modelling, 40(5-6), 3671-3687.
Igarashi, K., Yamada, T., Gupta, S. M., Inoue, M., & Itsubo, N. (2016). Disassembly system modeling and design with parts selection for cost, recycling and CO2 saving rates using multi criteria optimization. Journal of Manufacturing Systems, 38, 151-164.
Iris, & Asan, S. S. (2012). A review of genetic algorithm applications in supply chain network design. Computational Intelligence Systems in Industrial Engineering: With Recent Theory and Applications, 203-230.
Iris, & Lam, J. S. L. (2019). Recoverable robustness in weekly berth and quay crane planning. Transportation Research Part B: Methodological, 122, 365-389.
Kumar, N. R., & Kumar, R. S. (2013). Closed loop supply chain management and reverse logistics-A literature review. International Journal of Engineering Research and Technology, 6(4), 455-468.
Li, S., Ragu-Nathan, B., Ragu-Nathan, T., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107-124.
Majumder, S., Kar, M. B., Kar, S., & Pal, T. (2020). Uncertain programming models for multi-objective shortest path problem with uncertain parameters. Soft Computing, 24, 8975-8996.
Majumder, S., Kundu, P., Kar, S., & Pal, T. (2019). Uncertain multi-objective multi-item fixed charge solid transportation problem with budget constraint. Soft Computing, 23, 3279-3301.
Manerba, D., Mansini, R., & Perboli, G. (2018). The capacitated supplier selection problem with total quantity discount policy and activation costs under uncertainty. International journal of production economics, 198, 119-132.
Mari, S. I., Lee, Y. H., & Memon, M. S. (2014). Sustainable and resilient supply chain network design under disruption risks. Sustainability, 6(10), 6666-6686.
Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C., Frieler, K., Knutti, R., . . . Allen, M. R. (2009). Greenhouse-gas emission targets for limiting global warming to 2 C. nature, 458(7242), 1158-1162.
Özceylan, E., Demirel, N., Çetinkaya, C., & Demirel, E. (2017). A closed-loop supply chain network design for automotive industry in Turkey. Computers & industrial engineering, 113, 727-745.
Peng, H., Shen, N., Liao, H., Xue, H., & Wang, Q. (2020). Uncertainty factors, methods, and solutions of closed-loop supply chain—A review for current situation and future prospects. Journal of Cleaner Production, 254, 120032.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 14-38.
Rad, R. S., & Nahavandi, N. (2018). A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount. Journal of Cleaner Production, 196, 1549-1565.
Roy, R., & Whelan, R. (1992). Successful recycling through value-chain collaboration. Long range planning, 25(4), 62-71.
Ruiz-Torres, A. J., Mahmoodi, F., & Ohmori, S. (2019). Joint determination of supplier capacity and returner incentives in a closed-loop supply chain. Journal of Cleaner Production, 215, 1351-1361.
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences.
Shekarian, E. (2020). A review of factors affecting closed-loop supply chain models. Journal of Cleaner Production, 253, 119823.
Shibly, M., Alawamleh, H. A., Nawaiseh, K. A., Ali, B. J., Almasri, A., & Alshibly, E. (2021). The Relationship between Administrative Empowerment and Continuous Improvement: An Empirical Study. Revista Geintec-Gestao Inovacao E Tecnologias, 11(2), 1681-1699.
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443.
Tahoori, G., Rosnah, M. Y., & Norzima, Z. (2014). Key Issues and Challenges of a Sustainable Closed Loop Supply Chain. Applied Mechanics and Materials, 564, 684-688.
Talaei, M., Moghaddam, B. F., Pishvaee, M. S., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662-673.
Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products. Journal of Cleaner Production, 207, 163-181.
Turki, S., & Rezg, N. (2019). Sustainable Supply Chain System Design and Optimization (Vol. 11, pp. 1179): MDPI.
Validi, S., Bhattacharya, A., & Byrne, P. J. (2015). A solution method for a two-layer sustainable supply chain distribution model. Computers & Operations Research, 54, 204-217.
Venturini, G., Iris, Ç., Kontovas, C. A., & Larsen, A. (2017). The multi-port berth allocation problem with speed optimization and emission considerations. Transportation Research Part D: Transport and Environment, 54, 142-159.
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision support systems, 51(2), 262-269.
Zhen, L., Huang, L., & Wang, W. (2019). Green and sustainable closed-loop supply chain network design under uncertainty. Journal of Cleaner Production, 227, 1195-1209.
Zhu, Q., & Geng, Y. (2001). Integrating environmental issues into supplier selection and management: a study of large and medium-sized state-owned enterprises in China. Greener Management International(35), 27-40.
ALNawaiseh, K. H., Hamzeh, A. A., Al Shibly, M., Almari, M. O., AbuOrabi, T. G. A. O., Jerisat, R. R., . . . badadwa, A. a. (2022). The Relationship Between the Enterprise Resource Planning System and Maintenance Planning System: An Empirical Study. Information Sciences Letters, 11(5), 1-11
Arena, U., Mastellone, M. L., & Perugini, F. (2003). The environmental performance of alternative solid waste management options: a life cycle assessment study. Chemical engineering journal, 96(1-3), 207-222.
Barbosa-Póvoa, A. P., da Silva, C., & Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European journal of operational research, 268(2), 399-431.
Boukherroub, T., Ruiz, A., Guinet, A., & Fondrevelle, J. (2015). An integrated approach for sustainable supply chain planning. Computers & Operations Research, 54, 180-194.
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European journal of operational research, 233(2), 299-312.
Buhayenko, V., & den Hertog, D. (2017). Adjustable robust optimisation approach to optimise discounts for multi-period supply chain coordination under demand uncertainty. International Journal of Production Research, 55(22), 6801-6823.
Chalmardi, M. K., & Camacho-Vallejo, J.-F. (2019). A bi-level programming model for sustainable supply chain network design that considers incentives for using cleaner technologies. Journal of Cleaner Production, 213, 1035-1050.
Chanchaichujit, J., Pham, Q. C., & Tan, A. (2019). Sustainable supply chain management: A literature review of recent mathematical modelling approaches. International Journal of Logistics Systems and Management, 33(4), 467-496.
Chen, Z., & Andresen, S. (2014). A multiobjective optimization model of production-sourcing for sustainable supply chain with consideration of social, environmental, and economic factors. Mathematical Problems in Engineering, 2014.
Chiou, T.-Y., Chan, H. K., Lettice, F., & Chung, S. H. (2011). The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 47(6), 822-836.
Ciccullo, F., Pero, M., Caridi, M., Gosling, J., & Purvis, L. (2018). Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: A literature review and future research directions. Journal of Cleaner Production, 172, 2336-2350.
Darnall, N., Jolley, G. J., & Handfield, R. (2008). Environmental management systems and green supply chain management: complements for sustainability? Business Strategy and the Environment, 17(1), 30-45.
Dayhim, M., Jafari, M. A., & Mazurek, M. (2014). Planning sustainable hydrogen supply chain infrastructure with uncertain demand. International Journal of Hydrogen Energy, 39(13), 6789-6801.
Dekker, R., Bloemhof, J., & Mallidis, I. (2012). Operations Research for green logistics–An overview of aspects, issues, contributions and challenges. European journal of operational research, 219(3), 671-679.
Demartini, M., Pinna, C., Aliakbarian, B., Tonelli, F., & Terzi, S. (2018). Soft drink supply chain sustainability: A case based approach to identify and explain best practices and key performance indicators. Sustainability, 10(10), 3540.
Demartini, M., Tonelli, F., & Bertani, F. (2018). Approaching industrial symbiosis through agent-based modeling and system dynamics. Service Orientation in Holonic and Multi-Agent Manufacturing: Proceedings of SOHOMA 2017, 171-185.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.
Govindan, K., & Cheng, T. (2015). Sustainable supply chain management. Computers and Operations Research, 54(C), 177-179.
Govindan, K., Jafarian, A., & Nourbakhsh, V. (2015). Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic. Computers & Operations Research, 62, 112-130.
Hussain, M., Awasthi, A., & Tiwari, M. K. (2016). Interpretive structural modeling-analytic network process integrated framework for evaluating sustainable supply chain management alternatives. Applied Mathematical Modelling, 40(5-6), 3671-3687.
Igarashi, K., Yamada, T., Gupta, S. M., Inoue, M., & Itsubo, N. (2016). Disassembly system modeling and design with parts selection for cost, recycling and CO2 saving rates using multi criteria optimization. Journal of Manufacturing Systems, 38, 151-164.
Iris, & Asan, S. S. (2012). A review of genetic algorithm applications in supply chain network design. Computational Intelligence Systems in Industrial Engineering: With Recent Theory and Applications, 203-230.
Iris, & Lam, J. S. L. (2019). Recoverable robustness in weekly berth and quay crane planning. Transportation Research Part B: Methodological, 122, 365-389.
Kumar, N. R., & Kumar, R. S. (2013). Closed loop supply chain management and reverse logistics-A literature review. International Journal of Engineering Research and Technology, 6(4), 455-468.
Li, S., Ragu-Nathan, B., Ragu-Nathan, T., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107-124.
Majumder, S., Kar, M. B., Kar, S., & Pal, T. (2020). Uncertain programming models for multi-objective shortest path problem with uncertain parameters. Soft Computing, 24, 8975-8996.
Majumder, S., Kundu, P., Kar, S., & Pal, T. (2019). Uncertain multi-objective multi-item fixed charge solid transportation problem with budget constraint. Soft Computing, 23, 3279-3301.
Manerba, D., Mansini, R., & Perboli, G. (2018). The capacitated supplier selection problem with total quantity discount policy and activation costs under uncertainty. International journal of production economics, 198, 119-132.
Mari, S. I., Lee, Y. H., & Memon, M. S. (2014). Sustainable and resilient supply chain network design under disruption risks. Sustainability, 6(10), 6666-6686.
Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C., Frieler, K., Knutti, R., . . . Allen, M. R. (2009). Greenhouse-gas emission targets for limiting global warming to 2 C. nature, 458(7242), 1158-1162.
Özceylan, E., Demirel, N., Çetinkaya, C., & Demirel, E. (2017). A closed-loop supply chain network design for automotive industry in Turkey. Computers & industrial engineering, 113, 727-745.
Peng, H., Shen, N., Liao, H., Xue, H., & Wang, Q. (2020). Uncertainty factors, methods, and solutions of closed-loop supply chain—A review for current situation and future prospects. Journal of Cleaner Production, 254, 120032.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2014). An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 14-38.
Rad, R. S., & Nahavandi, N. (2018). A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount. Journal of Cleaner Production, 196, 1549-1565.
Roy, R., & Whelan, R. (1992). Successful recycling through value-chain collaboration. Long range planning, 25(4), 62-71.
Ruiz-Torres, A. J., Mahmoodi, F., & Ohmori, S. (2019). Joint determination of supplier capacity and returner incentives in a closed-loop supply chain. Journal of Cleaner Production, 215, 1351-1361.
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences.
Shekarian, E. (2020). A review of factors affecting closed-loop supply chain models. Journal of Cleaner Production, 253, 119823.
Shibly, M., Alawamleh, H. A., Nawaiseh, K. A., Ali, B. J., Almasri, A., & Alshibly, E. (2021). The Relationship between Administrative Empowerment and Continuous Improvement: An Empirical Study. Revista Geintec-Gestao Inovacao E Tecnologias, 11(2), 1681-1699.
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443.
Tahoori, G., Rosnah, M. Y., & Norzima, Z. (2014). Key Issues and Challenges of a Sustainable Closed Loop Supply Chain. Applied Mechanics and Materials, 564, 684-688.
Talaei, M., Moghaddam, B. F., Pishvaee, M. S., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662-673.
Taleizadeh, A. A., Haghighi, F., & Niaki, S. T. A. (2019). Modeling and solving a sustainable closed loop supply chain problem with pricing decisions and discounts on returned products. Journal of Cleaner Production, 207, 163-181.
Turki, S., & Rezg, N. (2019). Sustainable Supply Chain System Design and Optimization (Vol. 11, pp. 1179): MDPI.
Validi, S., Bhattacharya, A., & Byrne, P. J. (2015). A solution method for a two-layer sustainable supply chain distribution model. Computers & Operations Research, 54, 204-217.
Venturini, G., Iris, Ç., Kontovas, C. A., & Larsen, A. (2017). The multi-port berth allocation problem with speed optimization and emission considerations. Transportation Research Part D: Transport and Environment, 54, 142-159.
Wang, F., Lai, X., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision support systems, 51(2), 262-269.
Zhen, L., Huang, L., & Wang, W. (2019). Green and sustainable closed-loop supply chain network design under uncertainty. Journal of Cleaner Production, 227, 1195-1209.
Zhu, Q., & Geng, Y. (2001). Integrating environmental issues into supplier selection and management: a study of large and medium-sized state-owned enterprises in China. Greener Management International(35), 27-40.