How to cite this paper
Khajesaeedi, S., Sadjadi, S., Barzinpour, F & Tavakkoli-Moghaddam, R. (2025). Resource-constrained project scheduling problem: Review of recent developments.Journal of Project Management, 10(1), 1-26.
Refrences
Akbar, S., Ahmad, I., Khan, R., Lopes, I. O., & Ullah, R. (2022). Multi-skills resource constrained and personality traits based project scheduling. IEEE Access, 10, 131419-131429.
Alluhaidan, A. S. D., & Prabu, P. (2023). End-to-end encryption in resource-constrained IoT device. IEEE Access, 11, 70040-70051.
ARATOVSKYI, O., & LIUBCHENKO, V. (2024). A SURVEY OF THE PROBLEM AND TECHNIQUES IN RESOURCE ALLOCATION FOR MULTI-PROJECT SOFTWARE PROJECTS. Herald of Khmelnytskyi National University. Technical sciences, 337(3 (2)), 259-264.
Asadujjaman, M., Rahman, H. F., Chakrabortty, R. K., & Ryan, M. J. (2021). An immune genetic algorithm for solving NPV-based resource constrained project scheduling problem. IEEE Access, 9, 26177-26195.
Bahroun, Z., As’ad, R., Tanash, M., & Athamneh, R. (2024). The Multi-Skilled Resource-Constrained Project Scheduling Problem: A Systematic Review and an Exploration of Future Landscapes. Management Systems in Production Engineering, 32(1), 108-132.
Ballard, G., & Tommelein, I. (2021). 2020 Current process benchmark for the last planner (R) system of project planning and control.
Balouka, N., & Cohen, I. (2021). A robust optimization approach for the multi-mode resource-constrained project scheduling problem. European Journal of Operational Research, 291(2), 457-470.
Bianco, L., & Caramia, M. (2017). The resource constrained project scheduling problem: a theoretical comparison between a recent formulation and the main time indexed linear programming based approaches. RAIRO-Operations Research, 51(3), 519-532.
Ciupe, A., Meza, S., & Orza, B. (2016). Heuristic optimization for the resource constrained Project Scheduling Problem: a systematic mapping. 2016 Federated Conference on Computer Science and Information Systems (FedCSIS),
Dai, H., Li, L., Mao, R., Liu, X., & Zhou, K. (2023). A Solution‐Based Tabu Search Algorithm for the Resource‐Constrained Project Scheduling Problem with Step Deterioration. Mathematical Problems in Engineering, 2023(1), 8353962.
Dai, M., Tang, D., Giret, A., & Salido, M. A. (2019). Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints. Robotics and Computer-Integrated Manufacturing, 59, 143-157.
Dang Quoc, H., Nguyen The, L., & Nguyen Doan, C. (2022). An effective hybrid algorithm based on particle swarm optimization with migration method for solving the multiskill resource‐constrained project scheduling problem. Applied Computational Intelligence and Soft Computing, 2022(1), 6230145.
Ding, H., Zhuang, C., & Liu, J. (2023). Extensions of the resource-constrained project scheduling problem. Automation in Construction, 153, 104958.
Elmezain, M., Baduruzzaman, W. H. W., & Khoiry, M. A. (2021). The impact of project manager’s skills and age on project success. Brazilian Journal of Operations & Production Management, 18(4), 1-16.
Etminaniesfahani, A., Gu, H., & Salehipour, A. (2022). An efficient relax-and-Solve algorithm for the resource-constrained project scheduling problem. 11th International Conference on Operations Research and Enterprise Systems,
Eynde, R. V., Vanhoucke, M., & Coelho, J. (2024). Correction to: on the summary measures for the resource-constrained project scheduling problem. Annals of operations research, 332(1), 1309-1309.
Gao, K., Cao, Z., Zhang, L., Chen, Z., Han, Y., & Pan, Q. (2019). A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE/CAA Journal of Automatica Sinica, 6(4), 904-916.
Gehring, M., Volk, R., & Schultmann, F. (2022). On the integration of diverging material flows into resource‐constrained project scheduling. European Journal of Operational Research, 303(3), 1071-1087.
Golab, A. (2023). Resource constrained project scheduling problem (RCPSP) using artificial intelligence Université de Bretagne occidentale-Brest].
Habibi, F., Barzinpour, F., & Sadjadi, S. (2018). Resource-constrained project scheduling problem: review of past and recent developments. Journal of project management, 3(2), 55-88.
Han, S., Shen, H., Philipose, M., Agarwal, S., Wolman, A., & Krishnamurthy, A. (2016). Mcdnn: An approximation-based execution framework for deep stream processing under resource constraints. Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services,
Hauder, V. A., Beham, A., Raggl, S., Parragh, S. N., & Affenzeller, M. (2020). Resource-constrained multi-project scheduling with activity and time flexibility. Computers & Industrial Engineering, 150, 106857.
Hu, M., Chen, Z., Xia, Y., Zhang, L., & Tang, Q. (2023). Rules Mining-Based Gene Expression Programming for the Multi-Skill Resource Constrained Project Scheduling Problem. CMES-Computer Modeling in Engineering & Sciences, 136(3).
Isah, M. A., & Kim, B.-S. (2021). Integrating schedule risk analysis with multi-skilled resource scheduling to improve resource-constrained project scheduling problems. Applied Sciences, 11(2), 650.
Jedrzejowicz, P., & Ratajczak-Ropel, E. (2023). Parallelized Population-Based Multi-Heuristic System with Reinforcement Learning for Solving Multi-Skill Resource-Constrained Project Scheduling Problem with Hierarchical Skills.
Johnson, T. G., Leandro, J., & Ahadzie, D. K. (2023). Quantifying hazards resilience by modeling infrastructure recovery as a resource constrained project scheduling problem. EGUsphere, 2023, 1-27.
Kim, K. (2020). Generalized resource-constrained critical path method to improve sustainability in construction project scheduling. Sustainability, 12(21), 8918.
Kong, F., & Dou, D. (2021). Resource-constrained project scheduling problem under multiple time constraints. Journal of Construction Engineering and Management, 147(2), 04020170.
Kosztyán, Z. T., & Szalkai, I. (2020). Multimode resource-constrained project scheduling in flexible projects. Journal of Global Optimization, 76(1), 211-241.
Lin, J., Zhu, L., & Gao, K. (2020). A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Expert Systems with Applications, 140, 112915.
Liu, J., Liu, Y., Shi, Y., & Li, J. (2020). Solving resource-constrained project scheduling problem via genetic algorithm. Journal of Computing in Civil Engineering, 34(2), 04019055.
Liu, X., & Huang, L. A Non-Parameter Tuning Genetic Algorithm for Resource-Constrained Project Scheduling Problems.
LOPES, I. O., & ULLAH, R. Multi-Skills Resource Constrained and Personality Traits Based Project Scheduling.
Luo, J., Vanhoucke, M., & Coelho, J. (2023). Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming. Swarm and Evolutionary Computation, 81, 101339.
Manousakis, K., Savva, G., Papadouri, N., Mavrovouniotis, M., Christofides, A., Kolokotroni, N., & Ellinas, G. (2024). A Practical Approach for Resource-Constrained Project Scheduling. IEEE Access.
Naderi, S., Vaez-Ghasemi, M., & Movahedi Sobhani, F. (2022). Optimizing Resource‐Constrained Project Scheduling Problem considering the Reliability Function. Discrete Dynamics in Nature and Society, 2022(1), 7711383.
Osz, O., & Hegyhati, M. (2018). An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities. Chemical Engineering Transactions, 70, 1165-1170.
Pellerin, R., Perrier, N., & Berthaut, F. (2020). A survey of hybrid metaheuristics for the resource-constrained project scheduling problem. European Journal of Operational Research, 280(2), 395-416.
Peng, J. L., Liu, X., Peng, C., & Shao, Y. (2023). Multi-skill resource-constrained multi-modal project scheduling problem based on hybrid quantum algorithm. Scientific Reports, 13(1), 18502.
Peykani, P., Gheidar-Kheljani, J., Shahabadi, S., Ghodsypour, S. H., & Nouri, M. (2023). A two-phase resource-constrained project scheduling approach for design and development of complex product systems. Operational Research, 23(1), 17.
Pimapunsri, K., Weeranant, D., & Riel, A. (2022). Genetic algorithms for the resource-constrained project scheduling problem in aircraft heavy maintenance. arXiv preprint arXiv:2208.07169.
Rahman, A., Riaz, N., Dawson, K. S., Hamdani, S. U., Chiumento, A., Sijbrandij, M., Minhas, F., Bryant, R. A., Saeed, K., & van Ommeren, M. (2016). Problem Management Plus (PM+): Pilot trial of a WHO transdiagnostic psychological intervention in conflict‐affected Pakistan. World Psychiatry, 15(2), 182.
Ramos, A. S., Miranda-Gonzalez, P. A., Nucamendi-Guillén, S., & Olivares-Benitez, E. (2023). A formulation for the stochastic multi-mode resource-constrained project scheduling problem solved with a multi-start iterated local search metaheuristic. Mathematics, 11(2), 337.
Rosłon, J. Problem harmonogramowania przedsięwzięć z ograniczoną dostępnością zasobów iz czynnościami wielotrybowymi w budownictwie: stan wiedzy i kierunki rozwoju. Czasopismo Techniczne, 2017(Volume 5), 67-74.
Sánchez, M. G., Lalla-Ruiz, E., Gil, A. F., Castro, C., & Voß, S. (2023). Resource-constrained multi-project scheduling problem: A survey. European Journal of Operational Research, 309(3), 958-976.
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.
Snauwaert, J., & Vanhoucke, M. (2023). A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem. European Journal of Operational Research, 307(1), 1-19.
Song, J., Martens, A., & Vanhoucke, M. (2021). Using schedule risk analysis with resource constraints for project control. European Journal of Operational Research, 288(3), 736-752.
Tao, S., & Dong, Z. S. (2017). Scheduling resource-constrained project problem with alternative activity chains. Computers & Industrial Engineering, 114, 288-296.
Tian, B., Zhang, J., Demeulemeester, E., Chen, Z., & Ali, H. (2023). Integrated resource-constrained project scheduling and material ordering problem considering storage space allocation. Computers & Industrial Engineering, 185, 109608.
Tian, M., Liu, R. J., & Zhang, G. J. (2020). Solving the resource-constrained multi-project scheduling problem with an improved critical chain method. Journal of the Operational Research Society, 71(8), 1243-1258.
Tirkolaee, E. B., Goli, A., Hematian, M., Sangaiah, A. K., & Han, T. (2019). Multi-objective multi-mode resource constrained project scheduling problem using Pareto-based algorithms. Computing, 101, 547-570.
van der Beek, T., Souravlias, D., van Essen, J. T., Pruyn, J., & Aardal, K. (2024). Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources. European Journal of Operational Research, 313(1), 92-111.
Van Peteghem, V., & Vanhoucke, M. (2014). An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances. European Journal of Operational Research, 235(1), 62-72.
Vanhoucke, M., & Coelho, J. (2021). An analysis of network and resource indicators for resource-constrained project scheduling problem instances. Computers & Operations Research, 132, 105260.
Vanhoucke, M., & Coelho, J. (2024). A matheuristic for the resource-constrained project scheduling problem. European Journal of Operational Research, 319(3), 711-725.
Xie, L.-L., Chen, Y., Wu, S., Chang, R.-D., & Han, Y. (2024). Knowledge extraction for solving resource-constrained project scheduling problem through decision tree. Engineering, Construction and Architectural Management, 31(7), 2852-2877.
Yu, Y., Xu, Z., & Zhao, S. (2023). A two-stage algorithm based on 12 priority rules for the stochastic distributed resource-constrained multi-project scheduling problem with multi-skilled staff. IEEE Access, 11, 29554-29565.
Yuraszeck, F., Montero, E., Canut-De-Bon, D., Cuneo, N., & Rojel, M. (2023). A constraint programming formulation of the multi-mode resource-constrained project scheduling problem for the flexible job shop scheduling problem. IEEE Access.
Zahra, A., & Ullah, S. STOCHASTIC RESOURCE CONSTRAINT PROJECT SCHEDULING PROBLEM USING REINFORCEMENT LEARNING. Dr. Tariq Jamil.
Zaman, F., Elsayed, S. M., Saker, R., & Essam, D. (2020). Resource constrained project scheduling with dynamic disruption recovery. IEEE Access, 8, 144866-144879.
Alluhaidan, A. S. D., & Prabu, P. (2023). End-to-end encryption in resource-constrained IoT device. IEEE Access, 11, 70040-70051.
ARATOVSKYI, O., & LIUBCHENKO, V. (2024). A SURVEY OF THE PROBLEM AND TECHNIQUES IN RESOURCE ALLOCATION FOR MULTI-PROJECT SOFTWARE PROJECTS. Herald of Khmelnytskyi National University. Technical sciences, 337(3 (2)), 259-264.
Asadujjaman, M., Rahman, H. F., Chakrabortty, R. K., & Ryan, M. J. (2021). An immune genetic algorithm for solving NPV-based resource constrained project scheduling problem. IEEE Access, 9, 26177-26195.
Bahroun, Z., As’ad, R., Tanash, M., & Athamneh, R. (2024). The Multi-Skilled Resource-Constrained Project Scheduling Problem: A Systematic Review and an Exploration of Future Landscapes. Management Systems in Production Engineering, 32(1), 108-132.
Ballard, G., & Tommelein, I. (2021). 2020 Current process benchmark for the last planner (R) system of project planning and control.
Balouka, N., & Cohen, I. (2021). A robust optimization approach for the multi-mode resource-constrained project scheduling problem. European Journal of Operational Research, 291(2), 457-470.
Bianco, L., & Caramia, M. (2017). The resource constrained project scheduling problem: a theoretical comparison between a recent formulation and the main time indexed linear programming based approaches. RAIRO-Operations Research, 51(3), 519-532.
Ciupe, A., Meza, S., & Orza, B. (2016). Heuristic optimization for the resource constrained Project Scheduling Problem: a systematic mapping. 2016 Federated Conference on Computer Science and Information Systems (FedCSIS),
Dai, H., Li, L., Mao, R., Liu, X., & Zhou, K. (2023). A Solution‐Based Tabu Search Algorithm for the Resource‐Constrained Project Scheduling Problem with Step Deterioration. Mathematical Problems in Engineering, 2023(1), 8353962.
Dai, M., Tang, D., Giret, A., & Salido, M. A. (2019). Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints. Robotics and Computer-Integrated Manufacturing, 59, 143-157.
Dang Quoc, H., Nguyen The, L., & Nguyen Doan, C. (2022). An effective hybrid algorithm based on particle swarm optimization with migration method for solving the multiskill resource‐constrained project scheduling problem. Applied Computational Intelligence and Soft Computing, 2022(1), 6230145.
Ding, H., Zhuang, C., & Liu, J. (2023). Extensions of the resource-constrained project scheduling problem. Automation in Construction, 153, 104958.
Elmezain, M., Baduruzzaman, W. H. W., & Khoiry, M. A. (2021). The impact of project manager’s skills and age on project success. Brazilian Journal of Operations & Production Management, 18(4), 1-16.
Etminaniesfahani, A., Gu, H., & Salehipour, A. (2022). An efficient relax-and-Solve algorithm for the resource-constrained project scheduling problem. 11th International Conference on Operations Research and Enterprise Systems,
Eynde, R. V., Vanhoucke, M., & Coelho, J. (2024). Correction to: on the summary measures for the resource-constrained project scheduling problem. Annals of operations research, 332(1), 1309-1309.
Gao, K., Cao, Z., Zhang, L., Chen, Z., Han, Y., & Pan, Q. (2019). A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE/CAA Journal of Automatica Sinica, 6(4), 904-916.
Gehring, M., Volk, R., & Schultmann, F. (2022). On the integration of diverging material flows into resource‐constrained project scheduling. European Journal of Operational Research, 303(3), 1071-1087.
Golab, A. (2023). Resource constrained project scheduling problem (RCPSP) using artificial intelligence Université de Bretagne occidentale-Brest].
Habibi, F., Barzinpour, F., & Sadjadi, S. (2018). Resource-constrained project scheduling problem: review of past and recent developments. Journal of project management, 3(2), 55-88.
Han, S., Shen, H., Philipose, M., Agarwal, S., Wolman, A., & Krishnamurthy, A. (2016). Mcdnn: An approximation-based execution framework for deep stream processing under resource constraints. Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services,
Hauder, V. A., Beham, A., Raggl, S., Parragh, S. N., & Affenzeller, M. (2020). Resource-constrained multi-project scheduling with activity and time flexibility. Computers & Industrial Engineering, 150, 106857.
Hu, M., Chen, Z., Xia, Y., Zhang, L., & Tang, Q. (2023). Rules Mining-Based Gene Expression Programming for the Multi-Skill Resource Constrained Project Scheduling Problem. CMES-Computer Modeling in Engineering & Sciences, 136(3).
Isah, M. A., & Kim, B.-S. (2021). Integrating schedule risk analysis with multi-skilled resource scheduling to improve resource-constrained project scheduling problems. Applied Sciences, 11(2), 650.
Jedrzejowicz, P., & Ratajczak-Ropel, E. (2023). Parallelized Population-Based Multi-Heuristic System with Reinforcement Learning for Solving Multi-Skill Resource-Constrained Project Scheduling Problem with Hierarchical Skills.
Johnson, T. G., Leandro, J., & Ahadzie, D. K. (2023). Quantifying hazards resilience by modeling infrastructure recovery as a resource constrained project scheduling problem. EGUsphere, 2023, 1-27.
Kim, K. (2020). Generalized resource-constrained critical path method to improve sustainability in construction project scheduling. Sustainability, 12(21), 8918.
Kong, F., & Dou, D. (2021). Resource-constrained project scheduling problem under multiple time constraints. Journal of Construction Engineering and Management, 147(2), 04020170.
Kosztyán, Z. T., & Szalkai, I. (2020). Multimode resource-constrained project scheduling in flexible projects. Journal of Global Optimization, 76(1), 211-241.
Lin, J., Zhu, L., & Gao, K. (2020). A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Expert Systems with Applications, 140, 112915.
Liu, J., Liu, Y., Shi, Y., & Li, J. (2020). Solving resource-constrained project scheduling problem via genetic algorithm. Journal of Computing in Civil Engineering, 34(2), 04019055.
Liu, X., & Huang, L. A Non-Parameter Tuning Genetic Algorithm for Resource-Constrained Project Scheduling Problems.
LOPES, I. O., & ULLAH, R. Multi-Skills Resource Constrained and Personality Traits Based Project Scheduling.
Luo, J., Vanhoucke, M., & Coelho, J. (2023). Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming. Swarm and Evolutionary Computation, 81, 101339.
Manousakis, K., Savva, G., Papadouri, N., Mavrovouniotis, M., Christofides, A., Kolokotroni, N., & Ellinas, G. (2024). A Practical Approach for Resource-Constrained Project Scheduling. IEEE Access.
Naderi, S., Vaez-Ghasemi, M., & Movahedi Sobhani, F. (2022). Optimizing Resource‐Constrained Project Scheduling Problem considering the Reliability Function. Discrete Dynamics in Nature and Society, 2022(1), 7711383.
Osz, O., & Hegyhati, M. (2018). An S-graph based approach for multi-mode resource-constrained project scheduling with time-varying resource capacities. Chemical Engineering Transactions, 70, 1165-1170.
Pellerin, R., Perrier, N., & Berthaut, F. (2020). A survey of hybrid metaheuristics for the resource-constrained project scheduling problem. European Journal of Operational Research, 280(2), 395-416.
Peng, J. L., Liu, X., Peng, C., & Shao, Y. (2023). Multi-skill resource-constrained multi-modal project scheduling problem based on hybrid quantum algorithm. Scientific Reports, 13(1), 18502.
Peykani, P., Gheidar-Kheljani, J., Shahabadi, S., Ghodsypour, S. H., & Nouri, M. (2023). A two-phase resource-constrained project scheduling approach for design and development of complex product systems. Operational Research, 23(1), 17.
Pimapunsri, K., Weeranant, D., & Riel, A. (2022). Genetic algorithms for the resource-constrained project scheduling problem in aircraft heavy maintenance. arXiv preprint arXiv:2208.07169.
Rahman, A., Riaz, N., Dawson, K. S., Hamdani, S. U., Chiumento, A., Sijbrandij, M., Minhas, F., Bryant, R. A., Saeed, K., & van Ommeren, M. (2016). Problem Management Plus (PM+): Pilot trial of a WHO transdiagnostic psychological intervention in conflict‐affected Pakistan. World Psychiatry, 15(2), 182.
Ramos, A. S., Miranda-Gonzalez, P. A., Nucamendi-Guillén, S., & Olivares-Benitez, E. (2023). A formulation for the stochastic multi-mode resource-constrained project scheduling problem solved with a multi-start iterated local search metaheuristic. Mathematics, 11(2), 337.
Rosłon, J. Problem harmonogramowania przedsięwzięć z ograniczoną dostępnością zasobów iz czynnościami wielotrybowymi w budownictwie: stan wiedzy i kierunki rozwoju. Czasopismo Techniczne, 2017(Volume 5), 67-74.
Sánchez, M. G., Lalla-Ruiz, E., Gil, A. F., Castro, C., & Voß, S. (2023). Resource-constrained multi-project scheduling problem: A survey. European Journal of Operational Research, 309(3), 958-976.
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.
Snauwaert, J., & Vanhoucke, M. (2023). A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem. European Journal of Operational Research, 307(1), 1-19.
Song, J., Martens, A., & Vanhoucke, M. (2021). Using schedule risk analysis with resource constraints for project control. European Journal of Operational Research, 288(3), 736-752.
Tao, S., & Dong, Z. S. (2017). Scheduling resource-constrained project problem with alternative activity chains. Computers & Industrial Engineering, 114, 288-296.
Tian, B., Zhang, J., Demeulemeester, E., Chen, Z., & Ali, H. (2023). Integrated resource-constrained project scheduling and material ordering problem considering storage space allocation. Computers & Industrial Engineering, 185, 109608.
Tian, M., Liu, R. J., & Zhang, G. J. (2020). Solving the resource-constrained multi-project scheduling problem with an improved critical chain method. Journal of the Operational Research Society, 71(8), 1243-1258.
Tirkolaee, E. B., Goli, A., Hematian, M., Sangaiah, A. K., & Han, T. (2019). Multi-objective multi-mode resource constrained project scheduling problem using Pareto-based algorithms. Computing, 101, 547-570.
van der Beek, T., Souravlias, D., van Essen, J. T., Pruyn, J., & Aardal, K. (2024). Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources. European Journal of Operational Research, 313(1), 92-111.
Van Peteghem, V., & Vanhoucke, M. (2014). An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances. European Journal of Operational Research, 235(1), 62-72.
Vanhoucke, M., & Coelho, J. (2021). An analysis of network and resource indicators for resource-constrained project scheduling problem instances. Computers & Operations Research, 132, 105260.
Vanhoucke, M., & Coelho, J. (2024). A matheuristic for the resource-constrained project scheduling problem. European Journal of Operational Research, 319(3), 711-725.
Xie, L.-L., Chen, Y., Wu, S., Chang, R.-D., & Han, Y. (2024). Knowledge extraction for solving resource-constrained project scheduling problem through decision tree. Engineering, Construction and Architectural Management, 31(7), 2852-2877.
Yu, Y., Xu, Z., & Zhao, S. (2023). A two-stage algorithm based on 12 priority rules for the stochastic distributed resource-constrained multi-project scheduling problem with multi-skilled staff. IEEE Access, 11, 29554-29565.
Yuraszeck, F., Montero, E., Canut-De-Bon, D., Cuneo, N., & Rojel, M. (2023). A constraint programming formulation of the multi-mode resource-constrained project scheduling problem for the flexible job shop scheduling problem. IEEE Access.
Zahra, A., & Ullah, S. STOCHASTIC RESOURCE CONSTRAINT PROJECT SCHEDULING PROBLEM USING REINFORCEMENT LEARNING. Dr. Tariq Jamil.
Zaman, F., Elsayed, S. M., Saker, R., & Essam, D. (2020). Resource constrained project scheduling with dynamic disruption recovery. IEEE Access, 8, 144866-144879.