How to cite this paper
APA: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. (2026). Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem. Journal of Project Management, 11(1), 301-316.
Chicago/Turabian: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. 2026. "Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem." Journal of Project Management 11, no. 1 (2026): 301-316.
AMA: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem. Journal of Project Management. 2026;11(1):301-316.
References
Almeida, B.F., Correia, I., & Saldanha-da-Gama, F. (2016). Priority-based heuristics for the multi-skill resource constrained project scheduling problem, Expert Systems With Applications, 57, 91-103.
Asta, S., Karapetyan, D., Kheiri, A., Özcan, E., & Parkes, A.J. (2016). Combining Monte-Carlo and
hyper-heuristic methods for the multi-mode resource constrained multi-project scheduling problem, Information Sciences, 373, 476-498.
Bellenguez, O., & Néron,E. (2005). Lower Bounds for the Multi-skill Project Scheduling Problem with Hierarchical Levels of Skills, in: Burke, E., Trick, M. (eds) Practice and Theory of Automated Timetabling V. PATAT 2004. Lecture Notes in Computer Science, 3616. Springer, Berlin, Heidelberg, pp. 229-243.
Besikci, U., Bilge, Ü., & Ulusoy, G. (2015). Multi-mode resource constrained multi-project scheduling and resource portfolio problem, European Journal of Operational Research, 240, 22-31.
Blazewicz, J., Lenstra, J., & Kann, A. (1983). Scheduling subject to resource constraints: classification and complexity, Discrete Applied Mathematics, 5(1), 11-24.
Browning, T.R., & Yassine, A.A. (2010). Resource-constrained multi-project scheduling: Priority rule performance revisited, International Journal of Production Economics, 126, 212-228.
Chand, S., Huynh, Q., Singh, H., & Ray, T. (2018). On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems, Information Sciences, 432, 146-163.
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.
Correia, I., Lourenco, L.L., & Saldhana-da-Gama, F. (2012). Project Scheduling with flexible resources:formulation and inequalities, OR Spectrum, 34, 635-663.
Dumic, M., Sisejkovic, D., Coric, R., & Jakobovic, D. (2018). Evolving priority rules for resource constrained project scheduling problem with genetic programming, Future Generation Computer Systems, 86, 211-221.
Fündeling, C.-U., & Trautmann, N. (2010). A priority-rule method for project scheduling with work-content constraints, European Journal of Operational Research, 203, 568-574.
Goncalves, J.F., Mendes, J.J.M., & Resende, M.G.C. (2008). A genetic algorithm for the resource constrained multi-project scheduling problem, European Journal of Operational Research, 189, 1171-1190.
Hartmann, S., & Briskorn, D. (2010). A survey of variants and extensions of the resource-constrained project scheduling problem, European Journal of Operational Research, 207(1) 1-14.
Heimerl, C., & Kolisch, R. (2010). Scheduling and staffing multiple projects with a multi-skilled workforce, OR Spectrum, 32, 343-368.
Homberger, J. (2007). A multi-agent system for the decentralized resource constrained multi-project scheduling problem, International Transactions in Operational Research, 14(6), 565-589.
Hosseinian, A.H., Baradaran, V., & Bashiri, M. (2019). Modeling of the time-dependent multi-skilled RCPSP considering learning effect: An evolutionary, solution approach, Journal of Modelling in Management, 14(2), 521-558.
Kellenbrink, C., & Helber, S. (2015). Scheduling resource constrained projects with a flexible structure, European Journal of Operations Research, 246, 379-391.
Kone, O., Artigues, C., Lopez, P., & Mongeau, M. (2011). Event-based MILP models for resource-constrained project scheduling problems, Computers and Opertaions Research, 38, 3-13.
Krüger, D., & Scholl, A. (2009). A heuristic solution framework for the resource constrained (multi-) project scheduling problem with sequence-dependent transfer times, European Journal of Operational Research, 197, 492-508.
Kurtulus, I., & Davis, E.W. (1982). Multi-project scheduling: categorization of heuristic rules performance, Management Science, 28(2), 161-172.
Kurtulus, I.S., & Narula, S.C. (1985). Multi-project scheduling: analysis of project performance, IIE Transactions, 17(1), 58-65.
Laszczyk, M., & Myszkowski, P. B. (2019). Improved selection in evolutionary multi objective optimization of multi skil resource constrained project scheduling problem, Information Sciences, 481, 412-431.
Liu, S-S. & Wang, C-J. (2008). Resource-constrained construction project scheduling model for profit maximization considering cash flow, Automation in Construction, 17, 966-974.
Lova, A., & Tormos, P. (2001). Analysis of scheduling schemes and heuristic rules per formance in resource-constrained multi-project scheduling, Annals of Operations Research, 102(14), 263-286.
Lova, A., & Tormos, P. (2002). Combining random sampling and backward forward heuristics for resource-constrained multi-project scheduling, in: Proceedings of the 8th International Workshop on Project Management and Scheduling, Valencia, Spain, pp. 244-248.
Maghsoudlou, H., Afshar-Nadja, & 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 and Chemical Engineering, 88, 157-169.
Meng, X. (2015). Optimization heuristic solutions, how good can they be? With empirical applications in location problems. Doctoral dissertation, Dalarna University, Sweden. DiVA, ISBN: 978-91-89020-94-8.
Polo-Mejía, O., Artigues, C., Lopez, P., Mönch, L., & Basini, V. (2023). Heuristic and metaheuristic methods for the multi-skill project scheduling problem with partial preemption, Intl. Trans. in Op. Res., 30, 858-891.
Schnabel, A., Kellenbrink, C., & Helber, S. (2018). Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints, Business Research, 11, 329-356.
Silver, E. (2004). An overview of heuristic solution methods. Journal of the Operational Research Society, 55, 936-956.
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 & Indus trial 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, Springer Verlag GmbH Austria, Computing, 101, 547-570.
Uysal, F., Sonmez, R., & Isleyen, S.K. (2021). A graphical processing unit-based parallel hybrid genetic algorithm for resource-constrained multi-project scheduling problem, Concurrency and Computation: Practice and Experience, 33(16), DOI: 10.1002/cpe.6266.
Wang, L., & Zheng, X-l. (2018). A knowledge-guided multi-objective fruit fly optimization fl algorithm for the multi-skill resource constrained project scheduling problem, Swarm and Evolutionary Computation, 38, 54-63.
Wang, Y., He, Z., Kerkhove, L-P., & Vanhoucke, M. (2017). On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem, Computers & Industrial Engeneering, 114, 223-234.
Wauters, T., Kinable, J., Smet, P., Vancroonenburg, W., Berghe, G. V., & Verstichel, J. (2016). The Multi-Mode Resource-Constrained Multi-Project Scheduling Problem, Journal of Scheduling, 19, 271-283.
Asta, S., Karapetyan, D., Kheiri, A., Özcan, E., & Parkes, A.J. (2016). Combining Monte-Carlo and
hyper-heuristic methods for the multi-mode resource constrained multi-project scheduling problem, Information Sciences, 373, 476-498.
Bellenguez, O., & Néron,E. (2005). Lower Bounds for the Multi-skill Project Scheduling Problem with Hierarchical Levels of Skills, in: Burke, E., Trick, M. (eds) Practice and Theory of Automated Timetabling V. PATAT 2004. Lecture Notes in Computer Science, 3616. Springer, Berlin, Heidelberg, pp. 229-243.
Besikci, U., Bilge, Ü., & Ulusoy, G. (2015). Multi-mode resource constrained multi-project scheduling and resource portfolio problem, European Journal of Operational Research, 240, 22-31.
Blazewicz, J., Lenstra, J., & Kann, A. (1983). Scheduling subject to resource constraints: classification and complexity, Discrete Applied Mathematics, 5(1), 11-24.
Browning, T.R., & Yassine, A.A. (2010). Resource-constrained multi-project scheduling: Priority rule performance revisited, International Journal of Production Economics, 126, 212-228.
Chand, S., Huynh, Q., Singh, H., & Ray, T. (2018). On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems, Information Sciences, 432, 146-163.
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.
Correia, I., Lourenco, L.L., & Saldhana-da-Gama, F. (2012). Project Scheduling with flexible resources:formulation and inequalities, OR Spectrum, 34, 635-663.
Dumic, M., Sisejkovic, D., Coric, R., & Jakobovic, D. (2018). Evolving priority rules for resource constrained project scheduling problem with genetic programming, Future Generation Computer Systems, 86, 211-221.
Fündeling, C.-U., & Trautmann, N. (2010). A priority-rule method for project scheduling with work-content constraints, European Journal of Operational Research, 203, 568-574.
Goncalves, J.F., Mendes, J.J.M., & Resende, M.G.C. (2008). A genetic algorithm for the resource constrained multi-project scheduling problem, European Journal of Operational Research, 189, 1171-1190.
Hartmann, S., & Briskorn, D. (2010). A survey of variants and extensions of the resource-constrained project scheduling problem, European Journal of Operational Research, 207(1) 1-14.
Heimerl, C., & Kolisch, R. (2010). Scheduling and staffing multiple projects with a multi-skilled workforce, OR Spectrum, 32, 343-368.
Homberger, J. (2007). A multi-agent system for the decentralized resource constrained multi-project scheduling problem, International Transactions in Operational Research, 14(6), 565-589.
Hosseinian, A.H., Baradaran, V., & Bashiri, M. (2019). Modeling of the time-dependent multi-skilled RCPSP considering learning effect: An evolutionary, solution approach, Journal of Modelling in Management, 14(2), 521-558.
Kellenbrink, C., & Helber, S. (2015). Scheduling resource constrained projects with a flexible structure, European Journal of Operations Research, 246, 379-391.
Kone, O., Artigues, C., Lopez, P., & Mongeau, M. (2011). Event-based MILP models for resource-constrained project scheduling problems, Computers and Opertaions Research, 38, 3-13.
Krüger, D., & Scholl, A. (2009). A heuristic solution framework for the resource constrained (multi-) project scheduling problem with sequence-dependent transfer times, European Journal of Operational Research, 197, 492-508.
Kurtulus, I., & Davis, E.W. (1982). Multi-project scheduling: categorization of heuristic rules performance, Management Science, 28(2), 161-172.
Kurtulus, I.S., & Narula, S.C. (1985). Multi-project scheduling: analysis of project performance, IIE Transactions, 17(1), 58-65.
Laszczyk, M., & Myszkowski, P. B. (2019). Improved selection in evolutionary multi objective optimization of multi skil resource constrained project scheduling problem, Information Sciences, 481, 412-431.
Liu, S-S. & Wang, C-J. (2008). Resource-constrained construction project scheduling model for profit maximization considering cash flow, Automation in Construction, 17, 966-974.
Lova, A., & Tormos, P. (2001). Analysis of scheduling schemes and heuristic rules per formance in resource-constrained multi-project scheduling, Annals of Operations Research, 102(14), 263-286.
Lova, A., & Tormos, P. (2002). Combining random sampling and backward forward heuristics for resource-constrained multi-project scheduling, in: Proceedings of the 8th International Workshop on Project Management and Scheduling, Valencia, Spain, pp. 244-248.
Maghsoudlou, H., Afshar-Nadja, & 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 and Chemical Engineering, 88, 157-169.
Meng, X. (2015). Optimization heuristic solutions, how good can they be? With empirical applications in location problems. Doctoral dissertation, Dalarna University, Sweden. DiVA, ISBN: 978-91-89020-94-8.
Polo-Mejía, O., Artigues, C., Lopez, P., Mönch, L., & Basini, V. (2023). Heuristic and metaheuristic methods for the multi-skill project scheduling problem with partial preemption, Intl. Trans. in Op. Res., 30, 858-891.
Schnabel, A., Kellenbrink, C., & Helber, S. (2018). Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints, Business Research, 11, 329-356.
Silver, E. (2004). An overview of heuristic solution methods. Journal of the Operational Research Society, 55, 936-956.
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 & Indus trial 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, Springer Verlag GmbH Austria, Computing, 101, 547-570.
Uysal, F., Sonmez, R., & Isleyen, S.K. (2021). A graphical processing unit-based parallel hybrid genetic algorithm for resource-constrained multi-project scheduling problem, Concurrency and Computation: Practice and Experience, 33(16), DOI: 10.1002/cpe.6266.
Wang, L., & Zheng, X-l. (2018). A knowledge-guided multi-objective fruit fly optimization fl algorithm for the multi-skill resource constrained project scheduling problem, Swarm and Evolutionary Computation, 38, 54-63.
Wang, Y., He, Z., Kerkhove, L-P., & Vanhoucke, M. (2017). On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem, Computers & Industrial Engeneering, 114, 223-234.
Wauters, T., Kinable, J., Smet, P., Vancroonenburg, W., Berghe, G. V., & Verstichel, J. (2016). The Multi-Mode Resource-Constrained Multi-Project Scheduling Problem, Journal of Scheduling, 19, 271-283.