How to cite this paper
Shi, W., Hu, Q & Zhou, Y. (2024). Evolutionary game analysis of vehicle procurement in the courier industry from the perspective of green supply chain.International Journal of Industrial Engineering Computations , 15(1), 223-234.
Refrences
Behnke, M., & Kirschstein, T. (2017). The impact of path selection on GHG emissions in city logistics. Transportation Research Part E: Logistics and Transportation Review, 106, 320-336.
Chakraborty, S., & Prasad, K. (2016). A QFD-based expert system for industrial truck selection in manufacturing organizations. Journal of Manufacturing Technology Management, 27(6), 800-817.
Dafnomilis, I., Duinkerken, M. B., Junginger, M., et al. (2018). Optimal equipment deployment for biomass terminal operations. Transportation Research Part E: Logistics and Transportation Review, 115, 147-163.
Ding, L., Guo, Z., & Xue, Y. (2022). Dump or recycle? Consumer's environmental awareness and express package disposal based on an evolutionary game model. Environment, Development and Sustainability, 1-24.
García-Flores, R., Martins, R., de Souza Filho, O. V., González, M., Mattos, C., Rosenthal, A., & Juliano, P. (2015). A novel facility and equipment selection model for whey utilisation: A Brazilian case study. Computers and Electronics in Agriculture, 117, 127-140.
Guo, H., Wang, X., Cheng, H., & Huang, M. (2016). A routing defense mechanism using evolutionary game theory for delay tolerant networks. Applied Soft Computing, 38, 469-476.
Hodgett, R. E. (2016). Comparison of multi-criteria decision-making methods for equipment selection. The International Journal of Advanced Manufacturing Technology, 85, 1145-1157.
Jie, X., Chen, F. J., & Liu, G. P. (2021). Research on the Tripartite Evolutionary Game Model of Government, Enterprises and Travelers under the Carbon Tax Policy for Motor Vehicle. Operations Resource Management Science, 30(9).
Kolasińska-Morawska, K., Sułkowski, Ł., Buła, P., Brzozowska, M., & Morawski, P. (2022). Smart Logistics—Sustainable Technological Innovations in Customer Service at the Last-Mile Stage: The Polish Perspective. Energies, 15(17), 6395.
Liu, D., Xiao, X., Li, H., & Wang, W. (2015). Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework. European Journal of Operational Research, 243(3), 974-984.
Mao, J., Cheng, J., Li, X., Zhao, H., & Lin, C. (2023). Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions. Mathematics, 11(4), 812.
Meherishi, L., Narayana, S. A., & Ranjani, K. S. (2021). Integrated product and packaging decisions with secondary packaging returns and protective packaging management. European Journal of Operational Research, 292(3), 930-952.
Petroutsatou, K., Ladopoulos, I., & Nalmpantis, D. . (2021). Hierarchizing the criteria of construction equipment procurement decision using the AHP method. IEEE Transactions on Engineering Management, PP(99), 1-12.
Reinhard, S. (1980). A note on evolutionarily stable strategies in asymmetric animal conflicts. Journal of Theoretical Biology, 84(1), 93-101.
Ritzberger, K., & Weibull, J. W. (1995). Evolutionary selection in normal-form games. Econometrica: Journal of the Econometric Society, 1371-1399.
Sadeghian, R., & Sadeghian, M. R. (2016). A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system. The International Journal of Advanced Manufacturing Technology, 82, 1795-1803.
Weibull, J. W. (1998). Evolution, rationality and equilibrium in games. European Economic Review, 42(3-5), 641-649.
Xiao, Z., Cao, Q., Lang, Q., Shu, W., & Li, J. (2020). Evolutionary game and empirical analysis of the local governments and the upstream and downstream enterprises in the industrial symbiosis chain under environmental regulation. Systems Engineering,307(1), 5-17.
Xu, J., & Lv, X. (2014). Evolutionary analysis between governments, manufacting enterprises and consumers on low-carbon decision-making behavior under the background of low-carbon economy. Operations Research and Management Science, 23(6), 81-91.
Zhang, L. Y., Tseng, M. L., Wang, C. H., Xiao, C., & Fei, T. (2019). Low-carbon cold chain logistics using ribonucleic acid-ant colony optimization algorithm. Journal of Cleaner Production, 233, 169-180.
Zhao, D., Hao, J., Yang, J., & Han, H. (2020). Evolutionary game analysis of three parties in sharing economy considering network externality of platform. Control and Decision, 35(7), 1741-1750.
Zi-xing, Q., & Ge, Z. (2015). A Marketing Analysis of Electric Vehicles Based on Trilateral Game among Government, Enterprises and Consumers. Industrial Engineering Journal, 18(4), 1.
Chakraborty, S., & Prasad, K. (2016). A QFD-based expert system for industrial truck selection in manufacturing organizations. Journal of Manufacturing Technology Management, 27(6), 800-817.
Dafnomilis, I., Duinkerken, M. B., Junginger, M., et al. (2018). Optimal equipment deployment for biomass terminal operations. Transportation Research Part E: Logistics and Transportation Review, 115, 147-163.
Ding, L., Guo, Z., & Xue, Y. (2022). Dump or recycle? Consumer's environmental awareness and express package disposal based on an evolutionary game model. Environment, Development and Sustainability, 1-24.
García-Flores, R., Martins, R., de Souza Filho, O. V., González, M., Mattos, C., Rosenthal, A., & Juliano, P. (2015). A novel facility and equipment selection model for whey utilisation: A Brazilian case study. Computers and Electronics in Agriculture, 117, 127-140.
Guo, H., Wang, X., Cheng, H., & Huang, M. (2016). A routing defense mechanism using evolutionary game theory for delay tolerant networks. Applied Soft Computing, 38, 469-476.
Hodgett, R. E. (2016). Comparison of multi-criteria decision-making methods for equipment selection. The International Journal of Advanced Manufacturing Technology, 85, 1145-1157.
Jie, X., Chen, F. J., & Liu, G. P. (2021). Research on the Tripartite Evolutionary Game Model of Government, Enterprises and Travelers under the Carbon Tax Policy for Motor Vehicle. Operations Resource Management Science, 30(9).
Kolasińska-Morawska, K., Sułkowski, Ł., Buła, P., Brzozowska, M., & Morawski, P. (2022). Smart Logistics—Sustainable Technological Innovations in Customer Service at the Last-Mile Stage: The Polish Perspective. Energies, 15(17), 6395.
Liu, D., Xiao, X., Li, H., & Wang, W. (2015). Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework. European Journal of Operational Research, 243(3), 974-984.
Mao, J., Cheng, J., Li, X., Zhao, H., & Lin, C. (2023). Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions. Mathematics, 11(4), 812.
Meherishi, L., Narayana, S. A., & Ranjani, K. S. (2021). Integrated product and packaging decisions with secondary packaging returns and protective packaging management. European Journal of Operational Research, 292(3), 930-952.
Petroutsatou, K., Ladopoulos, I., & Nalmpantis, D. . (2021). Hierarchizing the criteria of construction equipment procurement decision using the AHP method. IEEE Transactions on Engineering Management, PP(99), 1-12.
Reinhard, S. (1980). A note on evolutionarily stable strategies in asymmetric animal conflicts. Journal of Theoretical Biology, 84(1), 93-101.
Ritzberger, K., & Weibull, J. W. (1995). Evolutionary selection in normal-form games. Econometrica: Journal of the Econometric Society, 1371-1399.
Sadeghian, R., & Sadeghian, M. R. (2016). A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system. The International Journal of Advanced Manufacturing Technology, 82, 1795-1803.
Weibull, J. W. (1998). Evolution, rationality and equilibrium in games. European Economic Review, 42(3-5), 641-649.
Xiao, Z., Cao, Q., Lang, Q., Shu, W., & Li, J. (2020). Evolutionary game and empirical analysis of the local governments and the upstream and downstream enterprises in the industrial symbiosis chain under environmental regulation. Systems Engineering,307(1), 5-17.
Xu, J., & Lv, X. (2014). Evolutionary analysis between governments, manufacting enterprises and consumers on low-carbon decision-making behavior under the background of low-carbon economy. Operations Research and Management Science, 23(6), 81-91.
Zhang, L. Y., Tseng, M. L., Wang, C. H., Xiao, C., & Fei, T. (2019). Low-carbon cold chain logistics using ribonucleic acid-ant colony optimization algorithm. Journal of Cleaner Production, 233, 169-180.
Zhao, D., Hao, J., Yang, J., & Han, H. (2020). Evolutionary game analysis of three parties in sharing economy considering network externality of platform. Control and Decision, 35(7), 1741-1750.
Zi-xing, Q., & Ge, Z. (2015). A Marketing Analysis of Electric Vehicles Based on Trilateral Game among Government, Enterprises and Consumers. Industrial Engineering Journal, 18(4), 1.