An optimization model of supplier selection and order allocation with transportation mode alternatives under carbon cap and trade policy

References

• Abrishami, S. J., Vahdani, H., & Rezaee, B. (2020). An integrated lot-sizing model with supplier and carrier selection and quantity discount considering multiple products. Scientia Iranica, 27(4), 2140–2156.
   Web of Science ®Google Scholar
• Basa, G., Becker, T., & Kedir, A. (2018). Supplier Selection and Order Allocation with Intermodal Transportation Cost. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_15.
   Google Scholar
• Basnet, C., & Leung, J. (2005). Inventory lot-sizing with supplier selection. Computers & Operations Research, 32(1), 1–14. https://doi.org/10.1016/S0305-0548(03)00199-0
   Web of Science ®Google Scholar
• Benson, H. (2005). Optimal pricing and procurement strategies in a supply chain with multiple capacitated supplier model. Computers and Operations Research, 32, 1–14.
   Google Scholar
• Blumenfeld, D. E., Burns, L. D., Diltz, J., & Daganzo, C. F. (1985). Analyzing trade-offs between transportation, inventory, and production costs on freight networks. Transportation Research Part B: Methodological, 19(5), 361–380. https://doi.org/10.1016/0191-2615(85)90051-7
   Web of Science ®Google Scholar
• Chan, F., Jha, A., & Tiwari, M. (2015). Bi-objective optimization of three echelon supply chain involving truck selection and loading using NSGA-II with heuristic algorithm. Applied Soft Computing, 38, 978–987. https://doi.org/10.1016/j.asoc.2015.10.067
   Web of Science ®Google Scholar
• Chen, M., & Tan, Y. (2023). A self-adaptive fast fireworks algorithm for effective large-scale optimization. Swarm and Evolutionary Computation, 80, 101314. https://doi.org/10.1016/j.swevo.2023.101314
   Web of Science ®Google Scholar
• Chopra, S., & Meindl, P. (2007). Supply chain management: Strategy, planning, and operations. Prentice-Hall.
   Google Scholar
• Dulebenets, M. A. (2021). An adaptive polypoid memetic algorithm for scheduling trucks at a cross-docking terminal. Information Sciences, 565, 390–421. https://doi.org/10.1016/j.ins.2021.02.039
   Web of Science ®Google Scholar
• Dulebenets, M. A. (2023). A diffused memetic optimizaer for reactive berth allocation and scheduling at marine container terminals in response to disruptions. Swarm and Evolutionary Computation, 80, 101334. https://doi.org/10.1016/j.swevo.2023.101334
   Web of Science ®Google Scholar
• Dullaert, W., Maes, B., Vernimmen, B., & Witlox, F. (2005). An evolutionary algorithm for order splitting with multiple transport alternatives. Experts Systems with Applications, 28(2), 201–208. https://doi.org/10.1016/j.eswa.2004.10.002
   Web of Science ®Google Scholar
• Ebrahim, R., Razmi, J., & Haleh, H. (2009). Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment. Advances in Engineering Software, 40(9), 766–776. https://doi.org/10.1016/j.advengsoft.2009.02.003
   Web of Science ®Google Scholar
• Ekiyor, A., Amino, M. A., & Altan, F. (2019). The effect of supplier selection on operational performance in pharmacies. International Journal of Economics and Management Studies, 6(12), 190–196. https://doi.org/10.14445/23939125/IJEMS-V6I12P121
   Google Scholar
• Feng, J., & Gong, Z. (2020). Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study. Journal of Cleaner Production, 277, 122597. https://doi.org/10.1016/j.jclepro.2020.122597
   Web of Science ®Google Scholar
• Filcek, G., & Józefczyk, J. (2012). Heuristic algorithm for integrated allocation and transportation in three-stage supply network. Procedia - Social and Behavioral Sciences, 54, 1298–1307. https://doi.org/10.1016/j.sbspro.2012.09.844
   Google Scholar
• Ghodsypour, S., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56–57, 199–212. https://doi.org/10.1016/S0925-5273(97)00009-1
   Web of Science ®Google Scholar
• Ghorbani, M., & Ramezanian, R. (2020). Integration of carrier selection and supplier selection problem in humanitarian logistics. Computers & Industrial Engineering, 144, 106473. https://doi.org/10.1016/j.cie.2020.106473
   Web of Science ®Google Scholar
• Gören, H. G. (2018). A decision framework for sustainable supplier selection and order allocation with lost sales. Journal of Cleaner Production, 183, 1156–1169. https://doi.org/10.1016/j.jclepro.2018.02.211
   Web of Science ®Google Scholar
• Heinold, A., & Meisel, F. (2020). Emission limits and emission allocation schemes in intermodal freight transport. Transportation Research Part E, 141, 1–26. https://doi.org/10.1016/j.tre.2020.101963
   Google Scholar
• Hosseini, S., Morshedlou, N., Ivanov, D., Sarder, M. D., Barker, K., & Al Khaled, A. (2019). Resilient supplier selection and optimal order allocation under disruption risks. International Journal of Production Economics, 213, 124–137. https://doi.org/10.1016/j.ijpe.2019.03.018
   Web of Science ®Google Scholar
• Hu, X., Wang, G., Li, X., Zhang, Y., Feng, S., & Yang, A. (2018). Joint decision model of supplier selection and order allocation for the mass customization of logistics services. Transportation Research Part E: Logistics and Transportation Review, 120, 76–95. https://doi.org/10.1016/j.tre.2018.10.011
   Web of Science ®Google Scholar
• Jiang, M., Wang, B., Hao, Y., Chen, S., Wen, Y., & Yang, Z. (2024). Quantification of CO2 emissions in transportation: An empirical analysis by modal shift from road to waterway transport in Zhejiang, China. Transport Policy, 145, 177–186. https://doi.org/10.1016/j.tranpol.2023.10.026
   Web of Science ®Google Scholar
• Kaur, H., & Singh, S. P. (2021). Multi stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technology. International Journal of Production Economics, 231, 107830. https://doi.org/10.1016/j.ijpe.2020.107830
   Web of Science ®Google Scholar
• Lamba, K., & Singh, S. (2019). Dynamic supplier selection and lot sizing problem considering carbon emissions in a big data environment. Technological Forecasting and Social Change, 144, 573–584. https://doi.org/10.1016/j.techfore.2018.03.020
   Web of Science ®Google Scholar
• Lamba, K., Singh, S., & Mishra, N. (2019). Integrated decisions for supplier selection and lot sizing considering different carbon emission regulations in big data environment. Computers & Industrial Engineering, 128, 1052–1062. https://doi.org/10.1016/j.cie.2018.04.028
   Web of Science ®Google Scholar
• Lee, R. (2021). The effect of supply chain management strategy on operational and financial performance. Sustainability, 13(9), 5138. https://doi.org/10.3390/su13095138
   Web of Science ®Google Scholar
• Mendoza, A., & Ventura, J. (2009). Estimating freight rates in inventory replenishment and supplier selection decisions. Logistics Research, 1(3–4), 185–196. https://doi.org/10.1007/s12159-009-0018-5
   Google Scholar
• Mohammed, A., Harris, I., & Govindan, K. (2019). A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics, 217, 171–184. https://doi.org/10.1016/j.ijpe.2019.02.003
   Web of Science ®Google Scholar
• Mohammed, A., Setchi, R., Filip, M., Harris, I., & Li, X. (2018). An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production, 192(10), 99–114. https://doi.org/10.1016/j.jclepro.2018.04.131
   Google Scholar
• Parilla, E. S. (2020). Supply chain management adoption and its effect on profitability of Philippine MSMEs. Review of Integrative Business & Economics Research, 10(1), 167–188.
   Google Scholar
• Pasha, J., Nwodu, A. L., Fathollahi-Fard, A. M., Tian, G., Li, Z., Wang, H., & Dulebenets, M. A. (2022). Exact and metaheuristics algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings. Advanced Engineering Informatics, 52, 101623. https://doi.org/10.1016/j.aei.2022.101623
   Web of Science ®Google Scholar
• Pazhani, S., Ventura, J., & Mendoza, A. (2015). A serial inventory system with supplier selection and order quantity allocation considering transportation costs. Applied Mathematical Modelling, 40(1), 612–634. https://doi.org/10.1016/j.apm.2015.06.008
   Web of Science ®Google Scholar
• Rezaei, J., & Davoodi, M. (2007). A deterministic, multi-item inventory model with supplier selection and imperfect quality. Applied Mathematical Modelling, 32(10), 2106–2116. https://doi.org/10.1016/j.apm.2007.07.009
   Web of Science ®Google Scholar
• Salameh, M., & Jaber, M. (2000). Economic production quantity model for items with imperfect quality. International Journal of Production Economics, 64(1–3), 59–64. https://doi.org/10.1016/S0925-5273(99)00044-4
   Web of Science ®Google Scholar
• Sobhanolahi, M. A., Mahmoodzadeh, A., & Naderi, B. (2020). A novel fuzzy multi-objective method for supplier selection and order allocation problem using NSGA II. Scientia Iranica, 27(1), 481–493.
   Web of Science ®Google Scholar
• Van der, W., & Ntshingila, L. (2020). The effect of supplier selection, supplier development and information sharing on SME’s business performance in Sedibeng. International Journal of Economics and Finance Studies, 12(2), 290–304.
   Google Scholar
• Wagner, H., & Whitin, T. (1958). Dynamic version of the economic lot size model. Management Science, 5(1), 89–96. https://doi.org/10.1287/mnsc.5.1.89
   Web of Science ®Google Scholar
• Wang, L., Wu, Z., & Wang, X. (2023). Multimodal transportation and city carbon emissions over space and time: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China. Journal of Cleaner Production, 425, 138987. https://doi.org/10.1016/j.jclepro.2023.138987
   Web of Science ®Google Scholar
• Wicaksono, P., Pujawan, I., & Widodo, E. (2019). A mixed integer linier programming model for dynamic supplier and carrier selection problems. International Journal of Procurement Management, 12(3), 276–297. https://doi.org/10.1504/IJPM.2019.099550
   Google Scholar
• Yaghin, R. G., & Darvishi, F. (2020). Order allocation and procurement transport planning in apparel supply chain: A utility based possibility-flexible programming approach. Fuzzy Sets and Systems, 398(1), 1–33. https://doi.org/10.1016/j.fss.2019.09.016
   Google Scholar