How to cite this paper
Lingkon, M. (2024). Bullwhip effect on closed-loop supply chain considering lead time and return rate: A study from the perspective of Bangladesh.Decision Science Letters , 13(3), 565-586.
Refrences
Abbey, J. D., & Guide, V. D. R. (2018). A typology of remanufacturing in closed-loop supply chains. International Journal of Production Research, 56(1–2), 374–384. https://doi.org/10.1080/00207543.2017.1384078
Adenso-Díaz, B., Moreno, P., Gutiérrez, E., & Lozano, S. (2012). An analysis of the main factors affecting bullwhip in reverse supply chains. International Journal of Production Economics, 135(2), 917–928. https://doi.org/10.1016/j.ijpe.2011.11.007
Almaktoom, A. T. (2024). Quantification of Supply Chain Bullwhip Effect. 12(1), 2051–4883. https://doi.org/10.58262/ks.v12i1.010
Author, N., & Raghunathan, S. (2001). Information Sharing in a Supply Chain: A Note on Its Value when Demand is. In Source: Management Science (Vol. 47, Issue 4).
Braz, A. C., De Mello, A. M., de Vasconcelos Gomes, L. A., & de Souza Nascimento, P. T. (2018). The bullwhip effect in closed-loop supply chains: A systematic literature review. Journal of Cleaner Production, 202, 376–389. https://doi.org/10.1016/j.jclepro.2018.08.042
Cannella, S., & Bruccoleri, M. (2013). Title: Impact of reverse logistics on supply chain performance.
Cannella, S., Bruccoleri, M., & Framinan, J. M. (2016). Closed-loop supply chains: What reverse logistics factors influence performance? International Journal of Production Economics, 175, 35–49. https://doi.org/10.1016/j.ijpe.2016.01.012
Chatfield, D. C., & Pritchard, A. M. (2013). Returns and the bullwhip effect. Transportation Research Part E: Logistics and Transportation Review, 49(1), 159–175. https://doi.org/10.1016/j.tre.2012.08.004
Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Management Science, 46(3), 436–443. https://doi.org/10.1287/mnsc.46.3.436.12069
Chen, F., Ryan, J. K., & Simchi-Levi, D. (2000). The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect. In Inc. Naval Research Logistics (Vol. 47). John Wiley & Sons.
Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2003a). Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research, 147(3), 567–590. https://doi.org/10.1016/S0377-2217(02)00369-7
Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2003b). The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective. European Journal of Operational Research, 153(3 SPEC. ISS.), 727–750. https://doi.org/10.1016/S0377-2217(02)00808-1
Dev, N. K., Shankar, R., & Choudhary, A. (2017). Strategic design for inventory and production planning in closed-loop hybrid systems. International Journal of Production Economics, 183, 345–353. https://doi.org/10.1016/j.ijpe.2016.06.017
Disney, S. M., & Lambrecht, M. R. (2007). On replenishment rules, forecasting, and the bullwhip effect in supply chains. In Foundations and Trends in Technology, Information and Operations Management (Vol. 2, Issue 1, pp. 1–80). https://doi.org/10.1561/0200000010
Disney, S. M., Towill, D. R., & Van De Velde, W. (2004). Variance amplification and the golden ratio in production and inventory control. International Journal of Production Economics, 90(3), 295–309. https://doi.org/10.1016/j.ijpe.2003.10.009
Dolgui, A., Ivanov, D., & Rozhkov, M. (2020). Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain†. International Journal of Production Research, 58(5), 1285–1301. https://doi.org/10.1080/00207543.2019.1627438
Dominguez, R., Cannella, S., & Framinan, J. M. (2015). On returns and network configuration in supply chain dynamics. Transportation Research Part E: Logistics and Transportation Review, 73, 152–167. https://doi.org/10.1016/j.tre.2014.11.008
Dominguez, R., Ponte, B., Cannella, S., & Framinan, J. M. (2019). On the dynamics of closed-loop supply chains with capacity constraints. Computers and Industrial Engineering, 128, 91–103. https://doi.org/10.1016/j.cie.2018.12.003
Durán Peña, J. A., Ortiz Bas, Á., & Reyes Maldonado, N. M. (2021). Impact of bullwhip effect on quality and waste in the perishable supply chain. In Processes (Vol. 9, Issue 7). MDPI AG. https://doi.org/10.3390/pr9071232
Feng, A. (2006). Research on the Causes of Bullwhip Effect in Supply Chain Management and Its Mitigation Countermeasures. https://doi.org/10.23977/ieim.2023.060406
Gao, J., Gao, Y., Guan, T., Liu, S., & Ma, T. (2024). Inhibitory influence of supply chain digital transformation on bullwhip effect feedback difference. Business Process Management Journal, 30(1), 135–157. https://doi.org/10.1108/BPMJ-01-2023-0029
Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. C. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega (United Kingdom), 66, 344–357. https://doi.org/10.1016/j.omega.2015.05.015
Goel, S., Toufeeq, M., Saxena, A., & Gupta, S. (2013). Countering Bullwhip Effect in Supply Chain Management: A Literature Review. http://publishingindia.com/jscms/
Goltsos, T. E., Syntetos, A. A., & van der Laan, E. (2019). Forecasting for remanufacturing: The effects of serialisation. Journal of Operations Management, 65(5), 447–467. https://doi.org/10.1002/joom.1031
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future in European Journal of Operational Research (Vol. 240, Issue 3, pp. 603–626). Elsevier B.V. https://doi.org/10.1016/j.ejor.2014.07.012
Guide, V. D. R., Harrison, T. P., & Van Wassenhove, L. N. (2003). The Challenge of Closed-Loop Supply Chains. Interfaces, 33(6), 2–6. https://doi.org/10.1287/inte.33.6.3.25182
Hedenstierna, C. P. T., Disney, S. M., Eyers, D. R., Holmström, J., Syntetos, A. A., & Wang, X. (2019). Economies of collaboration in build-to-model operations. Journal of Operations Management, 65(8), 753–773. https://doi.org/10.1002/joom.1014
Hosoda, T., & Disney, S. M. (2009). Impact of market demand mis-specification on a two-level supply chain. International Journal of Production Economics, 121(2), 739–751. https://doi.org/10.1016/j.ijpe.2009.04.024
Hosoda, T., & Disney, S. M. (2018). A unified theory of the dynamics of closed-loop supply chains. European Journal of Operational Research, 269(1), 313–326. https://doi.org/10.1016/j.ejor.2017.07.020
Hosoda, T., Disney, S. M., & Gavirneni, S. (2015). The impact of information sharing, random yield, correlation, and lead times in closed-loop supply chains. European Journal of Operational Research, 246(3), 827–836. https://doi.org/10.1016/j.ejor.2015.05.036
Inderfurth, K., & Van Der Laan, E. (2001). Leadtime effects and policy improvement for stochastic inventory control with remanufacturing. In Int. J. Production Economics (Vol. 71).
Isaksson, O. H. D., & Seifert, R. W. (2016). Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation. International Journal of Production Economics, 171, 311–320. https://doi.org/10.1016/j.ijpe.2015.08.027
Islam Fahim, M., Nazmul Hasan Suman, M., Zahidul Islam, M., Rafiul Islam Fahim, M., & Ahmed Chyon, F. (2022). Time Befitting Supply Chain for the Future of Bangladesh Apparel Industry by Aligning Industry 4.0. https://www.researchgate.net/publication/348392988
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546–558. https://doi.org/10.1287/mnsc.43.4.546
Lee, H. L., So, K. C., & Tang, C. S. (2000). Value of information sharing in a two-level supply chain. Management Science, 46(5), 626–643. https://doi.org/10.1287/mnsc.46.5.626.12047
Metters, R. (1997). Quantifying the bullwhip effect in supply chains. In Journal of Operations Management (Vol. 15).
Nilakantan, J. M., Li, Z., Tang, Q., & Nielsen, P. (2017). Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximising line efficiency in robotic assembly line systems. Journal of Cleaner Production, 156, 124-136.
Östlin, J., Sundin, E., & Björkman, M. (2009). Product life-cycle implications for remanufacturing strategies. Journal of Cleaner Production, 17(11), 999–1009. https://doi.org/10.1016/j.jclepro.2009.02.021
Ponte, B., Framinan, J. M., Cannella, S., & Dominguez, R. (2020). Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times. International Journal of Production Economics, 230. https://doi.org/10.1016/j.ijpe.2020.107798
Ponte, B., Naim, M. M., & Syntetos, A. A. (2019). The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems. European Journal of Operational Research, 278(2), 629–645. https://doi.org/10.1016/j.ejor.2019.04.019
Ponte, B., Wang, X., de la Fuente, D., & Disney, S. M. (2017). Exploring nonlinear supply chains: the dynamics of capacity constraints. International Journal of Production Research, 55(14), 4053–4067. https://doi.org/10.1080/00207543.2016.1245884
Pournader, M., Narayanan, A., Keblis, M. F., & Ivanov, D. (2023). Decision Bias and Bullwhip Effect in Multiechelon Supply Chains: Risk Preference Models. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2023.3292348
Rahman, M. H., Rahman, M. A., & Talapatra, S. (2020). The bullwhip effect: causes, intensity, and mitigation. Production and Manufacturing Research, 8(1), 406–426. https://doi.org/10.1080/21693277.2020.1862722
Ran, W., Wang, Y., Yang, L., & Liu, S. (2020). Coordination Mechanism of Supply Chain Considering the Bullwhip Effect under Digital Technologies. Mathematical Problems in Engineering, 2020. https://doi.org/10.1155/2020/3217927
Rashed, C. A. A., Bagum, Mst. N., & Noshin, R. A. (2023). Causes and consequences of bullwhip effect on the boutique industry of Dhaka city. Accounting, 9(4), 203–214. https://doi.org/10.5267/j.ac.2023.8.001
Reimann, M., Xiong, Y., & Zhou, Y. (2019). Managing a closed-loop supply chain with process innovation for remanufacturing. European Journal of Operational Research, 276(2), 510–518. https://doi.org/10.1016/j.ejor.2019.01.028
Shareef, M. A., Dwivedi, Y. K., Kumar, V., Mahmud, R., Hughes, D. L., Kizgin, H., & Rana, N. P. (n.d.). The Inherent Tensions within Sustainable Supply Chains: A Case Study from Bangladesh Item Type Article 1. The Inherent Tensions within Sustainable Supply Chains: A Case Study from Bangladesh. http://hdl.handle.net/10454/17263
Souza, G. C. (2013). Closed-Loop Supply Chains: A Critical Review, and Future Research*. Decision Sciences, 44(1), 7–38. https://doi.org/10.1111/j.1540-5915.2012.00394.x
Tang, O., & Naim, M. M. (2004). The impact of information transparency on the dynamic behaviour of a hybrid manufacturing/remanufacturing system. International Journal of Production Research, 42(19), 4135–4152. https://doi.org/10.1080/00207540410001716499
Teunter, R. H., Babai, M. Z., Bokhorst, J. A. C., & Syntetos, A. A. (2018). Revisiting the value of information sharing in two-stage supply chains. European Journal of Operational Research, 270(3), 1044–1052. https://doi.org/10.1016/j.ejor.2018.04.040
Turrisi, M., Bruccoleri, M., & Cannella, S. (2013). Impact of reverse logistics on supply chain performance. International Journal of Physical Distribution and Logistics Management, 43(7), 564–585. https://doi.org/10.1108/IJPDLM-04-2012-0132
Wang, X., & Disney, S. M. (2016). The bullwhip effect: Progress, trends and directions. In European Journal of Operational Research (Vol. 250, Issue 3, pp. 691–701). Elsevier B.V. https://doi.org/10.1016/j.ejor.2015.07.022
Zhou, L., & Disney, S. M. (2006). Bullwhip and inventory variance in a closed loop supply chain. OR Spectrum, 28(1), 127–149. https://doi.org/10.1007/s00291-005-0009-0
Zhou, L., Naim, M. M., & Disney, S. M. (2017). The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain. International Journal of Production Economics, 183, 487–502. https://doi.org/10.1016/j.ijpe.2016.07.021
Zhu, T., Balakrishnan, J., & da Silveira, G. J. C. (2020). Bullwhip effect in the oil and gas supply chain: A multiple-case study. International Journal of Production Economics, 224. https://doi.org/10.1016/j.ijpe.2019.107548
Adenso-Díaz, B., Moreno, P., Gutiérrez, E., & Lozano, S. (2012). An analysis of the main factors affecting bullwhip in reverse supply chains. International Journal of Production Economics, 135(2), 917–928. https://doi.org/10.1016/j.ijpe.2011.11.007
Almaktoom, A. T. (2024). Quantification of Supply Chain Bullwhip Effect. 12(1), 2051–4883. https://doi.org/10.58262/ks.v12i1.010
Author, N., & Raghunathan, S. (2001). Information Sharing in a Supply Chain: A Note on Its Value when Demand is. In Source: Management Science (Vol. 47, Issue 4).
Braz, A. C., De Mello, A. M., de Vasconcelos Gomes, L. A., & de Souza Nascimento, P. T. (2018). The bullwhip effect in closed-loop supply chains: A systematic literature review. Journal of Cleaner Production, 202, 376–389. https://doi.org/10.1016/j.jclepro.2018.08.042
Cannella, S., & Bruccoleri, M. (2013). Title: Impact of reverse logistics on supply chain performance.
Cannella, S., Bruccoleri, M., & Framinan, J. M. (2016). Closed-loop supply chains: What reverse logistics factors influence performance? International Journal of Production Economics, 175, 35–49. https://doi.org/10.1016/j.ijpe.2016.01.012
Chatfield, D. C., & Pritchard, A. M. (2013). Returns and the bullwhip effect. Transportation Research Part E: Logistics and Transportation Review, 49(1), 159–175. https://doi.org/10.1016/j.tre.2012.08.004
Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Management Science, 46(3), 436–443. https://doi.org/10.1287/mnsc.46.3.436.12069
Chen, F., Ryan, J. K., & Simchi-Levi, D. (2000). The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect. In Inc. Naval Research Logistics (Vol. 47). John Wiley & Sons.
Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2003a). Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research, 147(3), 567–590. https://doi.org/10.1016/S0377-2217(02)00369-7
Dejonckheere, J., Disney, S. M., Lambrecht, M. R., & Towill, D. R. (2003b). The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective. European Journal of Operational Research, 153(3 SPEC. ISS.), 727–750. https://doi.org/10.1016/S0377-2217(02)00808-1
Dev, N. K., Shankar, R., & Choudhary, A. (2017). Strategic design for inventory and production planning in closed-loop hybrid systems. International Journal of Production Economics, 183, 345–353. https://doi.org/10.1016/j.ijpe.2016.06.017
Disney, S. M., & Lambrecht, M. R. (2007). On replenishment rules, forecasting, and the bullwhip effect in supply chains. In Foundations and Trends in Technology, Information and Operations Management (Vol. 2, Issue 1, pp. 1–80). https://doi.org/10.1561/0200000010
Disney, S. M., Towill, D. R., & Van De Velde, W. (2004). Variance amplification and the golden ratio in production and inventory control. International Journal of Production Economics, 90(3), 295–309. https://doi.org/10.1016/j.ijpe.2003.10.009
Dolgui, A., Ivanov, D., & Rozhkov, M. (2020). Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain†. International Journal of Production Research, 58(5), 1285–1301. https://doi.org/10.1080/00207543.2019.1627438
Dominguez, R., Cannella, S., & Framinan, J. M. (2015). On returns and network configuration in supply chain dynamics. Transportation Research Part E: Logistics and Transportation Review, 73, 152–167. https://doi.org/10.1016/j.tre.2014.11.008
Dominguez, R., Ponte, B., Cannella, S., & Framinan, J. M. (2019). On the dynamics of closed-loop supply chains with capacity constraints. Computers and Industrial Engineering, 128, 91–103. https://doi.org/10.1016/j.cie.2018.12.003
Durán Peña, J. A., Ortiz Bas, Á., & Reyes Maldonado, N. M. (2021). Impact of bullwhip effect on quality and waste in the perishable supply chain. In Processes (Vol. 9, Issue 7). MDPI AG. https://doi.org/10.3390/pr9071232
Feng, A. (2006). Research on the Causes of Bullwhip Effect in Supply Chain Management and Its Mitigation Countermeasures. https://doi.org/10.23977/ieim.2023.060406
Gao, J., Gao, Y., Guan, T., Liu, S., & Ma, T. (2024). Inhibitory influence of supply chain digital transformation on bullwhip effect feedback difference. Business Process Management Journal, 30(1), 135–157. https://doi.org/10.1108/BPMJ-01-2023-0029
Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. C. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega (United Kingdom), 66, 344–357. https://doi.org/10.1016/j.omega.2015.05.015
Goel, S., Toufeeq, M., Saxena, A., & Gupta, S. (2013). Countering Bullwhip Effect in Supply Chain Management: A Literature Review. http://publishingindia.com/jscms/
Goltsos, T. E., Syntetos, A. A., & van der Laan, E. (2019). Forecasting for remanufacturing: The effects of serialisation. Journal of Operations Management, 65(5), 447–467. https://doi.org/10.1002/joom.1031
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future in European Journal of Operational Research (Vol. 240, Issue 3, pp. 603–626). Elsevier B.V. https://doi.org/10.1016/j.ejor.2014.07.012
Guide, V. D. R., Harrison, T. P., & Van Wassenhove, L. N. (2003). The Challenge of Closed-Loop Supply Chains. Interfaces, 33(6), 2–6. https://doi.org/10.1287/inte.33.6.3.25182
Hedenstierna, C. P. T., Disney, S. M., Eyers, D. R., Holmström, J., Syntetos, A. A., & Wang, X. (2019). Economies of collaboration in build-to-model operations. Journal of Operations Management, 65(8), 753–773. https://doi.org/10.1002/joom.1014
Hosoda, T., & Disney, S. M. (2009). Impact of market demand mis-specification on a two-level supply chain. International Journal of Production Economics, 121(2), 739–751. https://doi.org/10.1016/j.ijpe.2009.04.024
Hosoda, T., & Disney, S. M. (2018). A unified theory of the dynamics of closed-loop supply chains. European Journal of Operational Research, 269(1), 313–326. https://doi.org/10.1016/j.ejor.2017.07.020
Hosoda, T., Disney, S. M., & Gavirneni, S. (2015). The impact of information sharing, random yield, correlation, and lead times in closed-loop supply chains. European Journal of Operational Research, 246(3), 827–836. https://doi.org/10.1016/j.ejor.2015.05.036
Inderfurth, K., & Van Der Laan, E. (2001). Leadtime effects and policy improvement for stochastic inventory control with remanufacturing. In Int. J. Production Economics (Vol. 71).
Isaksson, O. H. D., & Seifert, R. W. (2016). Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation. International Journal of Production Economics, 171, 311–320. https://doi.org/10.1016/j.ijpe.2015.08.027
Islam Fahim, M., Nazmul Hasan Suman, M., Zahidul Islam, M., Rafiul Islam Fahim, M., & Ahmed Chyon, F. (2022). Time Befitting Supply Chain for the Future of Bangladesh Apparel Industry by Aligning Industry 4.0. https://www.researchgate.net/publication/348392988
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546–558. https://doi.org/10.1287/mnsc.43.4.546
Lee, H. L., So, K. C., & Tang, C. S. (2000). Value of information sharing in a two-level supply chain. Management Science, 46(5), 626–643. https://doi.org/10.1287/mnsc.46.5.626.12047
Metters, R. (1997). Quantifying the bullwhip effect in supply chains. In Journal of Operations Management (Vol. 15).
Nilakantan, J. M., Li, Z., Tang, Q., & Nielsen, P. (2017). Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximising line efficiency in robotic assembly line systems. Journal of Cleaner Production, 156, 124-136.
Östlin, J., Sundin, E., & Björkman, M. (2009). Product life-cycle implications for remanufacturing strategies. Journal of Cleaner Production, 17(11), 999–1009. https://doi.org/10.1016/j.jclepro.2009.02.021
Ponte, B., Framinan, J. M., Cannella, S., & Dominguez, R. (2020). Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times. International Journal of Production Economics, 230. https://doi.org/10.1016/j.ijpe.2020.107798
Ponte, B., Naim, M. M., & Syntetos, A. A. (2019). The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems. European Journal of Operational Research, 278(2), 629–645. https://doi.org/10.1016/j.ejor.2019.04.019
Ponte, B., Wang, X., de la Fuente, D., & Disney, S. M. (2017). Exploring nonlinear supply chains: the dynamics of capacity constraints. International Journal of Production Research, 55(14), 4053–4067. https://doi.org/10.1080/00207543.2016.1245884
Pournader, M., Narayanan, A., Keblis, M. F., & Ivanov, D. (2023). Decision Bias and Bullwhip Effect in Multiechelon Supply Chains: Risk Preference Models. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2023.3292348
Rahman, M. H., Rahman, M. A., & Talapatra, S. (2020). The bullwhip effect: causes, intensity, and mitigation. Production and Manufacturing Research, 8(1), 406–426. https://doi.org/10.1080/21693277.2020.1862722
Ran, W., Wang, Y., Yang, L., & Liu, S. (2020). Coordination Mechanism of Supply Chain Considering the Bullwhip Effect under Digital Technologies. Mathematical Problems in Engineering, 2020. https://doi.org/10.1155/2020/3217927
Rashed, C. A. A., Bagum, Mst. N., & Noshin, R. A. (2023). Causes and consequences of bullwhip effect on the boutique industry of Dhaka city. Accounting, 9(4), 203–214. https://doi.org/10.5267/j.ac.2023.8.001
Reimann, M., Xiong, Y., & Zhou, Y. (2019). Managing a closed-loop supply chain with process innovation for remanufacturing. European Journal of Operational Research, 276(2), 510–518. https://doi.org/10.1016/j.ejor.2019.01.028
Shareef, M. A., Dwivedi, Y. K., Kumar, V., Mahmud, R., Hughes, D. L., Kizgin, H., & Rana, N. P. (n.d.). The Inherent Tensions within Sustainable Supply Chains: A Case Study from Bangladesh Item Type Article 1. The Inherent Tensions within Sustainable Supply Chains: A Case Study from Bangladesh. http://hdl.handle.net/10454/17263
Souza, G. C. (2013). Closed-Loop Supply Chains: A Critical Review, and Future Research*. Decision Sciences, 44(1), 7–38. https://doi.org/10.1111/j.1540-5915.2012.00394.x
Tang, O., & Naim, M. M. (2004). The impact of information transparency on the dynamic behaviour of a hybrid manufacturing/remanufacturing system. International Journal of Production Research, 42(19), 4135–4152. https://doi.org/10.1080/00207540410001716499
Teunter, R. H., Babai, M. Z., Bokhorst, J. A. C., & Syntetos, A. A. (2018). Revisiting the value of information sharing in two-stage supply chains. European Journal of Operational Research, 270(3), 1044–1052. https://doi.org/10.1016/j.ejor.2018.04.040
Turrisi, M., Bruccoleri, M., & Cannella, S. (2013). Impact of reverse logistics on supply chain performance. International Journal of Physical Distribution and Logistics Management, 43(7), 564–585. https://doi.org/10.1108/IJPDLM-04-2012-0132
Wang, X., & Disney, S. M. (2016). The bullwhip effect: Progress, trends and directions. In European Journal of Operational Research (Vol. 250, Issue 3, pp. 691–701). Elsevier B.V. https://doi.org/10.1016/j.ejor.2015.07.022
Zhou, L., & Disney, S. M. (2006). Bullwhip and inventory variance in a closed loop supply chain. OR Spectrum, 28(1), 127–149. https://doi.org/10.1007/s00291-005-0009-0
Zhou, L., Naim, M. M., & Disney, S. M. (2017). The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain. International Journal of Production Economics, 183, 487–502. https://doi.org/10.1016/j.ijpe.2016.07.021
Zhu, T., Balakrishnan, J., & da Silveira, G. J. C. (2020). Bullwhip effect in the oil and gas supply chain: A multiple-case study. International Journal of Production Economics, 224. https://doi.org/10.1016/j.ijpe.2019.107548