References
- An, Q. X., Chen, H. X., Xiong, B. B., Wu, J., & Liang, L. (2017). Target intermediate products setting in a two-stage system with fairness concern. Omega, 73, 49–59. https://doi.org/https://doi.org/10.1016/j.omega.2016.12.005
- An, Q. X., Tao, X. Y., & Xiong, B. B. (2020). Benchmarking with data envelopment analysis: An agency perspective. Omega. Advance Online Publication. https://doi.org/https://doi.org/10.1016/j.omega.2020.102235
- An, Q. X., Yan, H., Wu, J., & Liang, L. (2016). Internal resource waste and centralization degree in two-stage systems: An efficiency analysis. Omega, 61, 89–99. https://doi.org/https://doi.org/10.1016/j.omega.2015.07.009
- Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functional. Naval Research Logistics Quarterly, 9(3–4), 181–185. https://doi.org/https://doi.org/10.1002/nav.3800090303
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/https://doi.org/10.1016/0377-2217(78)90138-8
- Chen, Y., Cook, W. D., & Zhu, J. (2010). Deriving the DEA frontier for two-stage processes. European Journal of Operational Research, 202(1), 138–142. https://doi.org/https://doi.org/10.1016/j.ejor.2009.05.012
- Chen, Y., Li, Y. J., Liang, L., Salo, A., & Wu, H. Q. (2016). Frontier projection and efficiency decomposition in two-stage processes with slacks-based measures. European Journal of Operational Research, 250(2), 543–554. https://doi.org/https://doi.org/10.1016/j.ejor.2015.09.031
- Chen, C., & Yan, H. (2011). Network DEA model for supply chain performance evaluation. European Journal of Operational Research, 213(1), 147–155. https://doi.org/https://doi.org/10.1016/j.ejor.2011.03.010
- Chen, K., & Zhu, J. (2020). Additive slacks-based measure: Computational strategy and extension to network DEA. Omega, 91, 102022–102014. https://doi.org/https://doi.org/10.1016/j.omega.2018.12.011
- Chen, Y., & Zhu, J. (2004). Measuring information technology's indirect impact on firm performance. Information Technology and Management, 5(1–2), 9–22. https://doi.org/https://doi.org/10.1023/B:ITEM.0000008075.43543.97
- Cook, W. D., Liang, L., & Zhu, J. (2010). Measuring performance of two-stage network structures by DEA: A review and future perspective. Omega, 38(6), 423–430. https://doi.org/https://doi.org/10.1016/j.omega.2009.12.001
- Ding, L. L., Lei, L., Wang, L., Zhang, L. F., & Calin, A. C. (2020). A novel cooperative game network DEA model for marine circular economy performance evaluation of China. Journal of Cleaner Production, 253, 120071–120014. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.120071
- Du, N., Hu, H. S., & Zhou, M. C. (2020). A survey on robust deadlock control policies for automated manufacturing systems with unreliable resources. IEEE Transactions on Automation Science and Engineering, 17(1), 389–406. https://doi.org/https://doi.org/10.1109/TASE.2019.2926758
- Du, J., Liang, L., Chen, Y., Cook, W. D., & Zhu, J. (2011). A bargaining game model for measuring performance of two-stage network structures. European Journal of Operational Research, 210(2), 390–397. https://doi.org/https://doi.org/10.1016/j.ejor.2010.08.025
- Fang, L. (2019). Stage efficiency evaluation in a two-stage network data envelopment analysis model with weight priority. Omega. Advance online publication. Omega, 50, 102081. https://doi.org/https://doi.org/10.1016/j.omega.2019.06.007
- Färe, R., & Grosskopf, S. (1996). Productivity and intermediate products: A frontier approach. Economics Letters, 50(1), 65–70. https://doi.org/https://doi.org/10.1016/0165-1765(95)00729-6
- Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49. https://doi.org/https://doi.org/10.1016/S0038-0121(99)00012-9
- Khodakarami, M., Shabani, A., Saen, R. F., & Azadi, M. (2015). Developing distinctive two-stage data envelopment analysis models: An application in evaluating the sustainability of supply chain management. Measurement, 70, 62–74. https://doi.org/https://doi.org/10.1016/j.measurement.2015.03.024
- Lee, C. Y., & Johnson, A. L. (2014). Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments. European Journal of Operational Research, 232(3), 537–548. https://doi.org/https://doi.org/10.1016/j.ejor.2013.07.043
- Liang, L., Cook, W. D., & Zhu, J. (2008). DEA models for two-stage processes: Game approach and efficiency decomposition. Naval Research Logistics, 55(7), 643–653. https://doi.org/https://doi.org/10.1002/nav.20308
- Podinovski, V. V., & Førsund, F. R. (2010). Differential characteristics of efficient frontiers in data envelopment analysis. Operations Research, 58(6), 1743–1754. https://doi.org/https://doi.org/10.1287/opre.1090.0794
- Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/https://doi.org/10.1016/S0377-2217(99)00407-5
- Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252. https://doi.org/https://doi.org/10.1016/j.ejor.2009.05.004
- Wang, X. J., & Hu, H. S. (2018). A robust control approach to automated manufacturing systems allowing multitype and multiquantity of resources with Petri nets. IEEE Transactions on Systems Man & Cybernetics Systems. https://doi.org/https://doi.org/10.1109/TSMC.2018.2852946
- Wang, K., Huang, W., Wu, J., & Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5–20. https://doi.org/https://doi.org/10.1016/j.omega.2013.09.005
- Wu, J., Jiang, H. H., Chu, J. F., Wang, Y. H., & Liu, X. H. (2019). Coordinated production target setting for production-pollutant control systems: A DEA two-stage bargaining game approach. Journal of the Operational Research Society, 93, 1–17. https://doi.org/https://doi.org/10.1080/01605682.2019.1609881
- Yin, P. Z., Chu, J. F., Wu, J., Ding, J. J., Yang, M., & Wang, Y. H. (2020). A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective. Omega, 93, 102035. https://doi.org/https://doi.org/10.1016/j.omega.2019.02.004
- Zhou, Z. B., Sun, L., Yang, W. Y., Liu, W. B., & Ma, C. Q. (2013). A bargaining game model for efficiency decomposition in the centralized model of two-stage systems. Computers & Industrial Engineering, 64(1), 103–108. https://doi.org/https://doi.org/10.1016/j.cie.2012.09.014