Multi-project buffer setting and dynamic monitoring of a critical chain based on comprehensive factors

An, J., Li, S. C., & Wu, X. P. (2024). Multi-objective planning for time-cost trade-offs in multi-project parallel environment. Engineering Construction and Architectural Management, 32(6), 4051-4073. doi: 10.1108/ ecam-08-2023-0867 Search in Google Scholar

Bakry, I., Moselhi, O., & Zayed, T. (2016). Optimized scheduling and buffering of repetitive construction projects under uncertainty. Engineering Construction and Architectural Management, 23(6), 782-800. doi: 10.1108/ecam-05-2014-0069 Search in Google Scholar

Bie, L., & Cui, N.. (2010). Research on dynamic buffer monitoring in critical chain project management. Chinese Journal of Management Science, 18(6), 97-103. doi: 10.16381/j.cnki.issn1003-207x.2010.06.003 Search in Google Scholar

Bie, L., Cui, N. F., & Zhang, X. M. (2012). Buffer sizing approach with dependence assumption between activities in critical chain scheduling. International Journal of Production Research, 50(24), 7343-7356. doi: 10.1080/00207543.2011.649096 Search in Google Scholar

Bie, L., Cui, N., & Tian, W. (2014). Research on activity sensitivity index based dynamic buffer monitoring method. Chinese Journal of Management Science, 22(10), 113-121. doi: 10.16381/j.cnki.issn1003-207x.2014.10.005 Search in Google Scholar

Bredael, D., & Vanhoucke, M. (2024). A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem. European Journal of Operational Research, 315(2), 19-34. doi: 10.1016/j. ejor.2023.11.009 Search in Google Scholar

Bu, Z., Liang, X., & Meng, H. (2021). Improved Method and Application of Critical Chain Identification Based on Multi-Project Important Degree. Industrial Engineering and Management, 26(5), 187-194. doi: 10.19495/j.cnki.1007-5429.2021.05.023 Search in Google Scholar

Dalouchei, F., Mousavi, S. M., Antucheviciene, J., & Minaei, A. (2022). A Bi-Objective Model for Scheduling Construction Projects Using Critical Chain Method and Interval-Valued Fuzzy Sets. Buildings, 12(7), Article 904. doi: 10.3390/buildings12070904 Search in Google Scholar

Ghoddousi, P., Ansari, R., & Makui, A. (2017). A Risk-Oriented Buffer Allocation Model Based on Critical Chain Project Management. Ksce Journal of Civil Engineering, 21(5), 1536-1548. doi: 10.1007/s12205-016-0039-y Search in Google Scholar

Goudarzi, E., Esmaeeli, H., Parsa, K., & Asadzadeh, S. (2024). Energy-efficient resource-constrained multi-project scheduling problem with generalized precedence relations and multi-skilled resources. Journal of Supercomputing, 80(10), 13837-13872. doi: 10.1007/s11227-024-05933-0 Search in Google Scholar

Hu, X. J., Demeulemeester, E., Cui, N. F., Wang, J. J., & Tian, W. D. (2017). Improved critical chain buffer management framework considering resource costs and schedule stability. Flexible Services and Manufacturing Journal, 29(2), 159-183. doi: 10.1007/s10696-016-9241-y Search in Google Scholar

Kamandanipour, K., Tavakkoli-Moghaddam, R., & Yakhchali, S. H. (2023). A discrete time/resource trade-off problem with a critical chain method under uncertainty: a hybrid meta-heuristic algorithm. Soft Computing, 27(23), 17867-17885. doi: 10.1007/s00500-023-09065-0 Search in Google Scholar

Leach, L. P. (2005). Critical Chain Project Management. London, England: Artech House. Search in Google Scholar

Li, H. B., Cao, Y. W., Lin, Q., & Zhu, H. Y. (2022). Data-driven project buffer sizing in critical chains. Automation in Construction, 135, 104134. doi: 10.1016/j.autcon.2022.104134 Search in Google Scholar

Luong Duc, L., & Ohsato, A. (2008). Fuzzy critical chain method for project scheduling under resource constraints and uncertainty. International Journal of Project Management, 26(6), 688-698. doi: 10.1016/j.ijproman.2007.09.012 Search in Google Scholar

Mozhdehi, S., Baradaran, V., & Hosseinian, A. H. (2024). Multi-skilled resource-constrained multi-project scheduling problem with dexterity improvement of workforce. Automation in Construction, 162, 105360. doi: 10.1016/j.autcon.2024.105360 Search in Google Scholar

Peng, J. L., & Peng, C. (2022). Buffer Sizing in Critical Chain Project Management by Brittle Risk Entropy. Buildings, 12(9), 1390. doi: 10.3390/buildings12091390 Search in Google Scholar

Satic, U., Jacko, P., & Kirkbride, C. (2024). A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem. European Journal of Operational Research, 315(2), 454-469. doi: 10.1016/j.ejor.2023.10.046 Search in Google Scholar

She, B. L., Chen, B., & Hall, N. G. (2021). Buffer sizing in critical chain project management by network decomposition *. Omega-International Journal of Management Science, 102, 102382. doi: 10.1016/j. omega.2020.102382 Search in Google Scholar

Trietsch, D. (2005). The effect of systemic errors on optimal project buffers. International Journal of Project Management, 23(4), 267-274. doi: 10.1016/j.ijproman.2004.12.004 Search in Google Scholar

Tukel, O. I., Rom, W. O., & Eksioglu, S. D. (2006). An investigation of buffer sizing techniques in critical chain scheduling. European Journal of Operational Research, 172(2), 401-416. doi: 10.1016/j.ejor.2004.10.019 Search in Google Scholar

Zhang, J. G., & Han, Q. (2023a). Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities. Kybernetes, 52(10), 4668-4685. doi: 10.1108/k-11-2021-1147 Search in Google Scholar

Zhang, J. G., & Han, Q. (2023b). Buffer Monitoring of Critical Chain Projects Based on Support Vector Machine Prediction. Ksce Journal of Civil Engineering, 27(7), 2745-2755. doi: 10.1007/s12205-023-0033-0 Search in Google Scholar

Zhang, J. G., Jia, S. K., & Diaz, E. (2018). Dynamic monitoring and control of a critical chain project based on phase buffer allocation. Journal of the Operational Research Society, 69(12), 1966-1977. doi: 10.1080/01605682.2017.1415641 Search in Google Scholar

Zhang, J. G., Wan, D. (2018). Dynamic real-time monitoring and control of the critical chain project. Chinese Journal of Management Science, 26(4), 171-178. doi: 10.16381/j.cnki.issn1003-207x.2018.04.019 Search in Google Scholar

Zhang, J. G., & Wan, D. (2019). Integrated buffer monitoring and control based on grey neural network. Journal of the Operational Research Society, 70(3), 516-529. doi: 10.1080/01605682.2018.1447251 Search in Google Scholar

Zhang, J. G., & Wang, M. H. (2022). Differential buffer monitoring for critical chain projects based on comprehensive activity reliability. Journal of the Operational Research Society, 74(9), 2064-2079. doi: 10.1080/01605682.2022.2125845 Search in Google Scholar

Zhao, Y., Hu, X. J., Wang, J. J., & Cui, N. F. (2024). A robust multi-project scheduling problem under a resource dedication-transfer policy. Annals of Operations Research, 337(1), 425-457. doi: 10.1007/s10479-024-05854-4 Search in Google Scholar

Zhao, Y., Jing, H. T., Yu, M., & Li, J. M. (2024). Efficient project management of historical building groups: a BIM-based approach with critical chain method and 5D simulation. International Journal of Construction Management, 25(7), 826-839. doi: 10.1080/15623599.2024.2366711 Search in Google Scholar