References
- Alizadeh, M., Ma, J., Marufuzzaman, M., & Yu, F. (2019). Sustainable olefin supply chain network design under seasonal feedstock supplies and uncertain carbon tax rate. Journal of Cleaner Production, 222, 280–299. doi:10.1016/j.jclepro.2019.02.188
- Anudari, C., Yun, Y., & Gen, M. (2022). Applying GA-VNS approach to supply chain network model with facility and route disruptions. International Journal of Management Science and Engineering Management, 17(3), 151–165. doi:10.1080/17509653.2022.2057366
- Arampantzi, C., Minis, I., & Dikas, G. (2019). A strategic model for exact supply chain network design and its application to a global manufacturer. International Journal of Production Research, 57(5), 1371–1397. doi:10.1080/00207543.2018.1489155
- Archetti, C., Peirano, L., & Speranza, M. G. (2022). Optimization in multi-modal freight transportation problems: A Survey. European Journal of Operational Research, 299(1), 1–20. doi:10.1016/j.ejor.2021.07.031
- Bhutta, M. K. S., Alhawari, O. I., & Mohamed, Z. M. (2022). An integrated production–distribution optimization model for multinational manufacturing corporations. International Journal of Management Science and Engineering Management, 19(1), 1–17. doi:10.1080/17509653.2022.2157900
- Budiman, S. D., & Rau, H. (2021). A stochastic model for developing speculation-postponement strategies and modularization concepts in the global supply chain with demand uncertainty. Computers & Industrial Engineering, 158, 107392. doi:10.1016/j.cie.2021.107392
- Cagliano, R., Caniato, F., Golini, R., Kalchschmidt, M., & Spina, G. (2008). Supply chain configurations in a global environment: a longitudinal perspective. Operations Management Research, 1(2), 86–94. doi:10.1007/s12063-008-0012-0
- Chopra, S., Meindl, P., & Kalra, D. V. (2007). Supply chain management by Pearson. Pearson Education India. Seventh Edition.
- Cohen, M. A., & Lee, H. L. (2020). Designing the right global supply chain network. Manufacturing & Service Operations Management, 22(1), 15–24. doi:10.1287/msom.2019.0839
- Cohen, M. A., & Mallik, S. (1997). Global supply chains: Research and applications. Production and Operations Management, 6(3), 193–210. doi:10.1111/j.1937-5956.1997.tb00426.x
- de Vass, T., Shee, H., & Miah, S. J. (2021). IoT in supply chain management: Opportunities and challenges for businesses in early industry 4.0 context. Operations and Supply Chain Management: An International Journal, 14(2), 148–161. doi:10.31387/oscm0450293
- Fallah, H., Eskandari, H., & Pishvaee, M. S. (2015). Competitive closed-loop supply chain network design under uncertainty. Journal of Manufacturing Systems, 37, 649–661. doi:10.1016/j.jmsy.2015.01.005
- Feng, X., Song, R., Yin, W., Yin, X., & Zhang, R. (2023). Multi-modal transportation network with cargo containerization technology: Advantages and challenges. Transport Policy, 132, 128–143. doi:10.1016/j.tranpol.2022.12.006
- Gereffi, G., & Lee, J. (2012). Why the world suddenly cares about global supply chains. The Journal of Supply Chain Management, 48(3), 24–32. doi:10.1111/j.1745-493X.2012.03271.x
- Golpîra, H. (2023). Closing the loop of a global supply chain through a robust optimal decentralized decision support system. Environmental Science and Pollution Research, 30(39), 89975–90005. doi:10.1007/s11356-022-23176-5
- Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108–141. doi:10.1016/j.ejor.2017.04.009
- Hasani, A. (2021). Resilience cloud-based global supply chain network design under uncertainty: Resource-based approach. Computers & Industrial Engineering, 158, 107382. doi:10.1016/j.cie.2021.107382
- Hasani, A., Mokhtari, H., & Fattahi, M. (2021). A multi-objective optimization approach for green and resilient supply chain network design: A real-life case study. Journal of Cleaner Production, 278, 123199. doi:10.1016/j.jclepro.2020.123199
- Kabadurmus, O., & Erdogan, M. S. (2020). Sustainable, multi-modal and reliable supply chain design. Annals of Operations Research, 292(1), 47–70. doi:10.1007/s10479-020-03654-0
- Karbassi Yazdi, A., Mehdiabadi, A., Wanke, P. F., Monajemzadeh, N., Correa, H. L., & Tan, Y. (2023). Developing supply chain resilience: A robust multi-criteria decision analysis method for transportation service provider selection under uncertainty. International Journal of Management Science and Engineering Management, 18(1), 51–64. doi:10.1080/17509653.2022.2098543
- Kordnejad, B. (2014). Intermodal transport cost model and intermodal distribution in urban freight. Procedia-Social and Behavioral Sciences, 125, 358–372. doi:10.1016/j.sbspro.2014.01.1480
- Kristianto, Y., & Gunasekaran, A. (2018). A global optimization for sustainable multi-domain global manufacturing. Computers & Operations Research, 89, 307–323. doi:10.1016/j.cor.2015.12.001
- Kuei, C. H., Madu, C. N., & Lin, C. (2011). Developing global supply chain quality management systems. International Journal of Production Research, 49(15), 4457–4481. doi:10.1080/00207543.2010.501038
- Lafkihi, M., Pan, S., & Ballot, E. (2019). Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce. Transportation Research Part E: Logistics & Transportation Review, 125, 348–365. doi:10.1016/j.tre.2019.03.021
- Lai, X., Chen, Z., Wang, X., & Chiu, C. H. (2023). Risk propagation and mitigation mechanisms of disruption and trade risks for a global production network. Transportation Research Part E: Logistics & Transportation Review, 170, 103013. doi:10.1016/j.tre.2022.103013
- Li, C., Han, P., Zhou, M., & Gu, M. (2023). Design of multi-modal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach. Applied Soft Computing, 133, 109925. doi:10.1016/j.asoc.2022.109925
- Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics & Transportation Review, 41(6), 531–550. doi:10.1016/j.tre.2005.06.003
- Mudambi, R., & Venzin, M. (2010). The strategic nexus of offshoring and outsourcing decisions. Journal of Management Studies, 47(8), 1510–1533. doi:10.1111/j.1467-6486.2010.00947.x
- Naskar, S., Basu, P., & Sen, A. K. (2020). A literature review of the emerging field of IoT using RFID and its applications in supply chain management. Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications, 1664–1689.
- Nayeri, S., Paydar, M. M., Asadi-Gangraj, E., & Emami, S. (2020). Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design. Computers & Industrial Engineering, 148, 106716. doi:10.1016/j.cie.2020.106716
- Nozari, H., Ghahremani-Nahr, J., & Szmelter-Jarosz, A. (2023). A multi-stage stochastic inventory management model for transport companies including several different transport modes. International Journal of Management Science and Engineering Management, 18(2), 134–144. doi:10.1080/17509653.2022.2042747
- Reich, J., Kinra, A., Kotzab, H., & Brusset, X. (2021). Strategic global supply chain network design–how decision analysis combining MILP and AHP on a pareto front can improve decision-making. International Journal of Production Research, 59(5), 1557–1572. doi:10.1080/00207543.2020.1847341
- Rezapour, S., Farahani, R. Z., Dullaert, W., & De Borger, B. (2014). Designing a new supply chain for competition against an existing supply chain. Transportation Research Part E: Logistics & Transportation Review, 67, 124–140. doi:10.1016/j.tre.2014.04.005
- Rienkhemaniyom, K., & Ravindran, A. R. (2014). Global supply chain network design incorporating disruption risk. International Journal of Business Analytics (IJBAN), 1(3), 37–62. doi:10.4018/ijban.2014070103
- Roozkhosh, P., & Motahari Farimani, N. (2023). Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty. International Journal of Management Science and Engineering Management, 18(1), 36–50. doi:10.1080/17509653.2022.2089261
- Shah, S., Bolton, M., & Menon, S. (2020, January). A study of internet of things (IoT) and its impacts on global supply chains. In 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 245–250). Dubai, United Arab Emirates: IEEE.
- Skjott-Larsen, T., Schary, P. B., Mikkola, J. H., & Kotzab, H. (2007). Managing the global supply chain. Third Edition. Denmark: Narayana Press, Gylling.
- Sunny, J., Undralla, N., & Pillai, V. M. (2020). Supply chain transparency through blockchain-based traceability: An overview with demonstration. Computers & Industrial Engineering, 150, 106895. doi:10.1016/j.cie.2020.106895
- Tiwari, S., Sharma, P., Choi, T. M., & Lim, A. (2023). Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap. Transportation Research Part E: Logistics & Transportation Review, 170, 103012. doi:10.1016/j.tre.2022.103012
- Varela, L., Putnik, G., & Romero, F. (2023). Collaborative manufacturing and management contextualization in the industry 4.0 based on a systematic literature review. International Journal of Management Science and Engineering Management, 19(1), 1–18. doi:10.1080/17509653.2023.2174200
- Ye, J., Jiang, Y., Chen, J., Liu, Z., & Guo, R. (2021). Joint optimisation of transfer location and capacity for a capacitated multi-modal transport network with elastic demand: A bi-level programming model and paradoxes. Transportation Research Part E: Logistics & Transportation Review, 156, 102540. doi:10.1016/j.tre.2021.102540
- Zhang, Q., Jiang, X., & Zheng, Y. (2023). Blockchain adoption and gray markets in a global supply chain. Omega, 115, 102785. doi:10.1016/j.omega.2022.102785
- Zhang, R., & Wang, K. (2019). A multi-echelon global supply chain network design based on transfer-pricing strategy. Journal of Industrial Integration and Management, 4(1), 1850020. doi:10.1142/S2424862218500203