How to cite this paper
Li, C., Wang, F & Chung, T. (2024). Multi-mode multi-skill resource-constrained project scheduling problem with differentiated professional capabilities.Journal of Project Management, 9(1), 27-44.
Refrences
Alba, E., & Francisco Chicano, J. (2007). Software project management with GAs. Information Sciences, 177(11), 2380-2401.
Barz, C., & Kolisch, R. (2014). Hierarchical multi‐skill resource assignment in the telecommunications industry. Production and Operations Management, 23(3), 489-503.
Bellenguez-Morineau, O., & Néron, E. (2007). A Branch-and-Bound method for solving Multi-Skill Project Scheduling Problem. RAIRO - Operations Research, 41(2), 155-170.
Bellenguez, O., & Néron, E. (2005). Lower Bounds for the Multi-skill Project Scheduling Problem with Hierarchical Levels of Skills. Paper presented at the Practice and Theory of Automated Timetabling V, Berlin, Heidelberg.
Blazewicz, J., Lenstra, J. K., & Kan, A. H. G. R. (1983). Scheduling subject to resource constraints: classification and complexity. Discrete Applied Mathematics, 5(1), 11-24.
Chen, J. C., Chen, Y.-Y., Chen, T.-L., & Lin, Y.-H. (2022). Multi-project scheduling with multi-skilled workforce assignment considering uncertainty and learning effect for large-scale equipment manufacturer. Computers & Industrial Engineering, 169, 108240.
Chen, R., Liang, C., Gu, D., & Leung, J. Y. T. (2017). A multi-objective model for multi-project scheduling and multi-skilled staff assignment for IT product development considering competency evolution. International Journal of Production Research, 55(21), 6207-6234.
Chung, T.-P., & Chen, F. (2019). A complete immunoglobulin-based artificial immune system algorithm for two-stage assembly flowshop scheduling problem with part splitting and distinct due windows. International Journal of Production Research, 57(10), 3219-3237.
Chung, T.-P., & Liao, C.-J. (2013). An immunoglobulin-based artificial immune system for solving the hybrid flow shop problem. Applied Soft Computing, 13(8), 3729-3736.
Cui, L., Liu, X., Lu, S., & Jia, Z. (2021). A variable neighborhood search approach for the resource-constrained multi-project collaborative scheduling problem. Applied Soft Computing, 107, 107480.
Drezet, L. E., & Billaut, J. C. (2008). A project scheduling problem with labour constraints and time-dependent activities requirements. International Journal of Production Economics, 112(1), 217-225.
García-Nieves, J. D., Ponz-Tienda, J. L., Ospina-Alvarado, A., & Bonilla-Palacios, M. (2019). Multipurpose linear programming optimization model for repetitive activities scheduling in construction projects. Automation in construction, 105, 102799.
Gutjahr, W. J., Katzensteiner, S., Reiter, P., Stummer, C., & Denk, M. (2010). Multi-objective decision analysis for competence-oriented project portfolio selection. European Journal of Operational Research, 205(3), 670-679.
Hartmann, S., & Briskorn, D. (2022). An updated survey of variants and extensions of the resource-constrained project scheduling problem. European Journal of Operational Research, 297(1), 1-14.
Kerkhove, L. P., & Vanhoucke, M. (2017). Optimised scheduling for weather sensitive offshore construction projects. Omega, 66, 58-78.
Kumar, N., & Vidyarthi, D. P. (2016). A model for resource-constrained project scheduling using adaptive PSO. Soft Computing, 20(4), 1565-1580.
Li, C., Wang, F., Gupta, J. N., & Chung, T. (2022). Scheduling Identical Parallel Batch Processing Machines Involving Incompatible Families with Different Job Sizes and Capacity Constraints. Computers & Industrial Engineering, 108115.
Li, Q., Jiang, M., Tao, S., Hao, J., & Chong, H.-Y. (2023). The Integrated Problem of Construction Project Scheduling and Multiskilled Staff Assignment with Learning Effect. Journal of Construction Engineering and Management, 149(8), 04023064.
Li, Q., Sun, Q., Tao, S., & Gao, X. (2020). Multi-skill project scheduling with skill evolution and cooperation effectiveness. Engineering, Construction and Architectural Management, 27(8), 2023-2045.
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.
Maghsoudlou, H., Afshar-Nadjafi, B., & Akhavan Niaki, S. T. (2017). Multi-skilled project scheduling with level-dependent rework risk; three multi-objective mechanisms based on cuckoo search. Applied Soft Computing, 54, 46-61.
Maghsoudlou, H., Afshar-Nadjafi, B., & Niaki, S. T. A. (2016). A multi-objective invasive weeds optimization algorithm for solving multi-skill multi-mode resource constrained project scheduling problem. Computers & Chemical Engineering, 88, 157-169.
Montoya, C., Bellenguez-Morineau, O., Pinson, E., & Rivreau, D. (2014). Branch-and-price approach for the multi-skill project scheduling problem. Optimization Letters, 8(5), 1721-1734.
Myszkowski, P. B., Olech, Ł. P., Laszczyk, M., & Skowroński, M. E. (2018). Hybrid differential evolution and greedy algorithm (DEGR) for solving multi-skill resource-constrained project scheduling problem. Applied Soft Computing, 62, 1-14.
Najafzad, H., Davari-Ardakani, H., & Nemati-Lafmejani, R. (2019). Multi-skill project scheduling problem under time-of-use electricity tariffs and shift differential payments. Energy, 168, 619-636.
Nemati-Lafmejani, R., Davari-Ardakani, H., & Najafzad, H. (2019). Multi-mode resource constrained project scheduling and contractor selection: Mathematical formulation and metaheuristic algorithms. Applied Soft Computing, 81, 105533.
Néron, E., & Baptista, D. (2002). Heuristics for the multi-skill project scheduling problem. Paper presented at the International Symposium on Combinatorial Optimization (CO’2002).
Polancos, R. V., & Seva, R. R. (2023). A Cost Minimization Model for a Multi-mode, Multi-skilled, Resource-constrained Project Scheduling Problem with Discrete Time-cost-quality-risk Trade-off. Paper presented at the Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications.
Pritsker, A. A. B., Waiters, L. J., & Wolfe, P. M. (1969). Multiproject scheduling with limited resources: A zero-one programming approach. Management science, 16(1), 93-108.
Talbot, F. B. (1982). Resource-constrained project scheduling with time-resource tradeoffs: The nonpreemptive case. Management science, 28(10), 1197-1210.
Tian, Y., Xiong, T., Liu, Z., Mei, Y., & Wan, L. (2022). Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches. Computers & Industrial Engineering, 167, 107897.
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(6), 547-570.
Toroslu, I. H. (2003). Personnel assignment problem with hierarchical ordering constraints. Computers & Industrial Engineering, 45(3), 493-510.
Yannibelli, V., & Amandi, A. (2011). A knowledge-based evolutionary assistant to software development project scheduling. Expert Systems with Applications, 38(7), 8403-8413.
Zheng, H.-y., Wang, L., & Zheng, X.-l. (2017). Teaching–learning-based optimization algorithm for multi-skill resource constrained project scheduling problem. Soft Computing, 21, 1537-1548.
Zhu, L., Lin, J., Li, Y.-Y., & Wang, Z.-J. (2021). A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Knowledge-Based Systems, 225, 107099.
Barz, C., & Kolisch, R. (2014). Hierarchical multi‐skill resource assignment in the telecommunications industry. Production and Operations Management, 23(3), 489-503.
Bellenguez-Morineau, O., & Néron, E. (2007). A Branch-and-Bound method for solving Multi-Skill Project Scheduling Problem. RAIRO - Operations Research, 41(2), 155-170.
Bellenguez, O., & Néron, E. (2005). Lower Bounds for the Multi-skill Project Scheduling Problem with Hierarchical Levels of Skills. Paper presented at the Practice and Theory of Automated Timetabling V, Berlin, Heidelberg.
Blazewicz, J., Lenstra, J. K., & Kan, A. H. G. R. (1983). Scheduling subject to resource constraints: classification and complexity. Discrete Applied Mathematics, 5(1), 11-24.
Chen, J. C., Chen, Y.-Y., Chen, T.-L., & Lin, Y.-H. (2022). Multi-project scheduling with multi-skilled workforce assignment considering uncertainty and learning effect for large-scale equipment manufacturer. Computers & Industrial Engineering, 169, 108240.
Chen, R., Liang, C., Gu, D., & Leung, J. Y. T. (2017). A multi-objective model for multi-project scheduling and multi-skilled staff assignment for IT product development considering competency evolution. International Journal of Production Research, 55(21), 6207-6234.
Chung, T.-P., & Chen, F. (2019). A complete immunoglobulin-based artificial immune system algorithm for two-stage assembly flowshop scheduling problem with part splitting and distinct due windows. International Journal of Production Research, 57(10), 3219-3237.
Chung, T.-P., & Liao, C.-J. (2013). An immunoglobulin-based artificial immune system for solving the hybrid flow shop problem. Applied Soft Computing, 13(8), 3729-3736.
Cui, L., Liu, X., Lu, S., & Jia, Z. (2021). A variable neighborhood search approach for the resource-constrained multi-project collaborative scheduling problem. Applied Soft Computing, 107, 107480.
Drezet, L. E., & Billaut, J. C. (2008). A project scheduling problem with labour constraints and time-dependent activities requirements. International Journal of Production Economics, 112(1), 217-225.
García-Nieves, J. D., Ponz-Tienda, J. L., Ospina-Alvarado, A., & Bonilla-Palacios, M. (2019). Multipurpose linear programming optimization model for repetitive activities scheduling in construction projects. Automation in construction, 105, 102799.
Gutjahr, W. J., Katzensteiner, S., Reiter, P., Stummer, C., & Denk, M. (2010). Multi-objective decision analysis for competence-oriented project portfolio selection. European Journal of Operational Research, 205(3), 670-679.
Hartmann, S., & Briskorn, D. (2022). An updated survey of variants and extensions of the resource-constrained project scheduling problem. European Journal of Operational Research, 297(1), 1-14.
Kerkhove, L. P., & Vanhoucke, M. (2017). Optimised scheduling for weather sensitive offshore construction projects. Omega, 66, 58-78.
Kumar, N., & Vidyarthi, D. P. (2016). A model for resource-constrained project scheduling using adaptive PSO. Soft Computing, 20(4), 1565-1580.
Li, C., Wang, F., Gupta, J. N., & Chung, T. (2022). Scheduling Identical Parallel Batch Processing Machines Involving Incompatible Families with Different Job Sizes and Capacity Constraints. Computers & Industrial Engineering, 108115.
Li, Q., Jiang, M., Tao, S., Hao, J., & Chong, H.-Y. (2023). The Integrated Problem of Construction Project Scheduling and Multiskilled Staff Assignment with Learning Effect. Journal of Construction Engineering and Management, 149(8), 04023064.
Li, Q., Sun, Q., Tao, S., & Gao, X. (2020). Multi-skill project scheduling with skill evolution and cooperation effectiveness. Engineering, Construction and Architectural Management, 27(8), 2023-2045.
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.
Maghsoudlou, H., Afshar-Nadjafi, B., & Akhavan Niaki, S. T. (2017). Multi-skilled project scheduling with level-dependent rework risk; three multi-objective mechanisms based on cuckoo search. Applied Soft Computing, 54, 46-61.
Maghsoudlou, H., Afshar-Nadjafi, B., & Niaki, S. T. A. (2016). A multi-objective invasive weeds optimization algorithm for solving multi-skill multi-mode resource constrained project scheduling problem. Computers & Chemical Engineering, 88, 157-169.
Montoya, C., Bellenguez-Morineau, O., Pinson, E., & Rivreau, D. (2014). Branch-and-price approach for the multi-skill project scheduling problem. Optimization Letters, 8(5), 1721-1734.
Myszkowski, P. B., Olech, Ł. P., Laszczyk, M., & Skowroński, M. E. (2018). Hybrid differential evolution and greedy algorithm (DEGR) for solving multi-skill resource-constrained project scheduling problem. Applied Soft Computing, 62, 1-14.
Najafzad, H., Davari-Ardakani, H., & Nemati-Lafmejani, R. (2019). Multi-skill project scheduling problem under time-of-use electricity tariffs and shift differential payments. Energy, 168, 619-636.
Nemati-Lafmejani, R., Davari-Ardakani, H., & Najafzad, H. (2019). Multi-mode resource constrained project scheduling and contractor selection: Mathematical formulation and metaheuristic algorithms. Applied Soft Computing, 81, 105533.
Néron, E., & Baptista, D. (2002). Heuristics for the multi-skill project scheduling problem. Paper presented at the International Symposium on Combinatorial Optimization (CO’2002).
Polancos, R. V., & Seva, R. R. (2023). A Cost Minimization Model for a Multi-mode, Multi-skilled, Resource-constrained Project Scheduling Problem with Discrete Time-cost-quality-risk Trade-off. Paper presented at the Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications.
Pritsker, A. A. B., Waiters, L. J., & Wolfe, P. M. (1969). Multiproject scheduling with limited resources: A zero-one programming approach. Management science, 16(1), 93-108.
Talbot, F. B. (1982). Resource-constrained project scheduling with time-resource tradeoffs: The nonpreemptive case. Management science, 28(10), 1197-1210.
Tian, Y., Xiong, T., Liu, Z., Mei, Y., & Wan, L. (2022). Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches. Computers & Industrial Engineering, 167, 107897.
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(6), 547-570.
Toroslu, I. H. (2003). Personnel assignment problem with hierarchical ordering constraints. Computers & Industrial Engineering, 45(3), 493-510.
Yannibelli, V., & Amandi, A. (2011). A knowledge-based evolutionary assistant to software development project scheduling. Expert Systems with Applications, 38(7), 8403-8413.
Zheng, H.-y., Wang, L., & Zheng, X.-l. (2017). Teaching–learning-based optimization algorithm for multi-skill resource constrained project scheduling problem. Soft Computing, 21, 1537-1548.
Zhu, L., Lin, J., Li, Y.-Y., & Wang, Z.-J. (2021). A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Knowledge-Based Systems, 225, 107099.