How to cite this paper
Delgoshaei, A., Hanjani, S & Nasiri, A. (2019). A genetic algorithm for scheduling multimode resource-constrained project problem in the presence of preemptive resources.Journal of Project Management, 4(3), 195-212.
Refrences
Abbasi, B., Shadrokh, S., & Arkat, J. (2006). Bi-objective resource-constrained project scheduling with robustness and makespan criteria. Applied Mathematics and Computation, 180(1), 146-152. doi:https://doi.org/10.1016/j.amc.2005.11.160
Ballestín, F., Valls, V., & Quintanilla, S. (2008). Pre-emption in resource-constrained project scheduling. European Journal of Operational Research, 189(3), 1136-1152. doi:https://doi.org/10.1016/j.ejor.2006.07.052
Buddhakulsomsiri, J., & Kim, D. S. (2006). Properties of multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting. European Journal of Operational Research, 175(1), 279-295. doi:https://doi.org/10.1016/j.ejor.2005.04.030
Castejón-Limas, M., Ordieres-Meré, J., González-Marcos, A., & González-Castro, V. (2011). Effort estimates through project complexity. Annals of Operations research, 186(1), 395-406. doi:https://doi.org/10.1007/s10479-010-0776-0
Chen, J., & Askin, R. G. (2009). Project selection, scheduling and resource allocation with time dependent returns. European Journal of Operational Research, 193(1), 23-34. doi:https://doi.org/10.1016/j.ejor.2007.10.040
Chtourou, H., & Haouari, M. (2008). A two-stage-priority-rule-based algorithm for robust resource-constrained project scheduling. Computers & Industrial Engineering, 55(1), 183-194. doi:https://doi.org/10.1016/j.cie.2007.11.017
Damay, J., Quilliot, A., & Sanlaville, E. (2007). Linear programming based algorithms for preemptive and non-preemptive RCPSP. European Journal of Operational Research, 182(3), 1012-1022. doi:https://doi.org/10.1016/j.ejor.2006.09.052
Delgoshaei, A., Ariffin, M., Baharudin, B., & Leman, Z. (2016a). A new method for decreasing cell-load variation in dynamic cellular manufacturing systems. International Journal of Industrial Engineering Computations, 7(1), 83-110.
Delgoshaei, A., Ariffin, M. K. A., & Ali, A. (2017). A multi-period scheduling method for trading-off between skilled-workers allocation and outsource service usage in dynamic CMS. International Journal of Production Research, 55(4), 997-1039.
Delgoshaei, A., Ariffin, M. K. A. M., Leman, Z., Baharudin, B. H. T. B., & Gomes, C. (2016b). Review of evolution of cellular manufacturing system’s approaches: Material transferring models. International Journal of Precision Engineering and Manufacturing, 17(1), 131-149.
Elmaghraby, S. E., & Herroelen, W. S. (1990). The scheduling of activities to maximize the net present value of projects. European Journal of Operational Research, 49(1), 35-49.
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. doi:https://doi.org/10.1016/j.ejor.2009.11.005
Hendricks, M. H., Voeten, B., & Kroep, L. H. (2002). Human resource allocation in a multiproject research and development environment. Managing Multiple Projects. Planning, Scheduling, and Allocating Resources for Competitive Advantage.
Jarboui, B., Damak, N., Siarry, P., & Rebai, A. (2008). A combinatorial particle swarm optimization for solving multi-mode resource-constrained project scheduling problems. Applied Mathematics and Computation, 195(1), 299-308.
Ke, H., & Liu, B. (2010). Fuzzy project scheduling problem and its hybrid intelligent algorithm. Applied Mathematical Modelling, 34(2), 301-308.
Kim, K., Yun, Y., Yoon, J., Gen, M., & Yamazaki, G. (2005). Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling. Computers in industry, 56(2), 143-160. doi:https://doi.org/10.1016/j.compind.2004.06.006
Kreter, S., Rieck, J., & Zimmermann, J. (2016). Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars. European Journal of Operational Research, 251(2), 387-403. doi:https://doi.org/10.1016/j.ejor.2015.11.021
Laslo, Z. (2010). Project portfolio management: An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses. International Journal of Project Management, 28(6), 609-618. doi:https://doi.org/10.1016/j.ijproman.2009.10.001
Lin, C.-M., & Gen, M. (2008). Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Systems with Applications, 34(4), 2480-2490. doi:https://doi.org/10.1016/j.eswa.2007.04.016
Mika, M., Waligóra, G., & Węglarz, J. (2005). Simulated annealing and tabu search for multi-mode resource-constrained project scheduling with positive discounted cash flows and different payment models. European Journal of Operational Research, 164(3), 639-668. doi:https://doi.org/10.1016/j.ejor.2003.10.053
Naber, A., & Kolisch, R. (2014). MIP models for resource-constrained project scheduling with flexible resource profiles. European Journal of Operational Research, 239(2), 335-348. doi:https://doi.org/10.1016/j.ejor.2014.05.036
Papke-Shields, K. E., & Boyer-Wright, K. M. (2017). Strategic planning characteristics applied to project management. International Journal of Project Management, 35(2), 169-179.
Pérez, E., Posada, M., & Lorenzana, A. (2016). Taking advantage of solving the resource constrained multi-project scheduling problems using multi-modal genetic algorithms. Soft Computing, 20(5), 1879-1896.
Rabbani, M., Ravanbakhsh, M., Farrokhi-Asl, H., & Taheri, M. (2017). Using metaheuristic algorithms for solving a hub location problem: application in passive optical network planning. International Journal of Supply and Operations Management, 4(1), 0-0.
Seifi, M., & Tavakkoli-Moghaddam, R. (2008). A new bi-objective model for a multi-mode resource-constrained project scheduling problem with discounted cash flows and four payment models. Int. J. of Engineering, Transaction A: Basic, 21(4), 347-360.
Sharon, A., & Dori, D. (2015). A Project–product model–based approach to planning work breakdown structures of complex system projects. IEEE Systems Journal, 9(2), 366-376.
Vaez, P. (2017). A New Mathematical Model for Simultaneous Lot-sizing and Production Scheduling Problems Considering Earliness/Tardiness Penalties and Setup Costs. International Journal of Supply and Operations Management, 4(2), 167-179.
Van de Vonder, S., Demeulemeester, E., Herroelen, W., & Leus, R. (2005). The use of buffers in project management: The trade-off between stability and makespan. International Journal of Production Economics, 97(2), 227-240.
Van de Vonder, S., Demeulemeester, E., Herroelen, W., & Leus, R. (2006). The trade-off between stability and makespan in resource-constrained project scheduling. International Journal of Production Research, 44(2), 215-236.
Van Peteghem, V., & Vanhoucke, M. (2010). A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem. European Journal of Operational Research, 201(2), 409-418.
Vanhoucke, M., & Debels, D. (2008). The impact of various activity assumptions on the lead time and resource utilization of resource-constrained projects. Computers & Industrial Engineering, 54(1), 140-154. doi:https://doi.org/10.1016/j.cie.2007.07.001
Ward, S., & Chapman, C. (2003). Transforming project risk management into project uncertainty management. International Journal of Project Management, 21(2), 97-105. doi:https://doi.org/10.1016/S0263-7863(01)00080-1
Węglarz, J., Józefowska, J., Mika, M., & Waligóra, G. (2011). Project scheduling with finite or infinite number of activity processing modes–A survey. European Journal of Operational Research, 208(3), 177-205. doi:https://doi.org/10.1016/j.ejor.2010.03.037
Yan, L., Jinsong, B., Xiaofeng, H., & Ye, J. (2009). A heuristic project scheduling approach for quick response to maritime disaster rescue. International Journal of Project Management, 27(6), 620-628. doi:doi.org/10.1016/j.ijproman.2008.10.001
Yu, Wang, S., Wen, F., & Lai, K. K. (2012). Genetic algorithm-based multi-criteria project portfolio selection. Annals of Operations Research, 197(1), 71-86.
Zhou, M., & Askin, R. G. (1998). Formation of general GT cells: an operation-based approach. Computers & industrial engineering, 34(1), 147-157.
ZIAEE, M. (2017). Modeling and solving the distributed and flexible job shop scheduling problem with WIPs supply planning and bounded processing times.
Ballestín, F., Valls, V., & Quintanilla, S. (2008). Pre-emption in resource-constrained project scheduling. European Journal of Operational Research, 189(3), 1136-1152. doi:https://doi.org/10.1016/j.ejor.2006.07.052
Buddhakulsomsiri, J., & Kim, D. S. (2006). Properties of multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting. European Journal of Operational Research, 175(1), 279-295. doi:https://doi.org/10.1016/j.ejor.2005.04.030
Castejón-Limas, M., Ordieres-Meré, J., González-Marcos, A., & González-Castro, V. (2011). Effort estimates through project complexity. Annals of Operations research, 186(1), 395-406. doi:https://doi.org/10.1007/s10479-010-0776-0
Chen, J., & Askin, R. G. (2009). Project selection, scheduling and resource allocation with time dependent returns. European Journal of Operational Research, 193(1), 23-34. doi:https://doi.org/10.1016/j.ejor.2007.10.040
Chtourou, H., & Haouari, M. (2008). A two-stage-priority-rule-based algorithm for robust resource-constrained project scheduling. Computers & Industrial Engineering, 55(1), 183-194. doi:https://doi.org/10.1016/j.cie.2007.11.017
Damay, J., Quilliot, A., & Sanlaville, E. (2007). Linear programming based algorithms for preemptive and non-preemptive RCPSP. European Journal of Operational Research, 182(3), 1012-1022. doi:https://doi.org/10.1016/j.ejor.2006.09.052
Delgoshaei, A., Ariffin, M., Baharudin, B., & Leman, Z. (2016a). A new method for decreasing cell-load variation in dynamic cellular manufacturing systems. International Journal of Industrial Engineering Computations, 7(1), 83-110.
Delgoshaei, A., Ariffin, M. K. A., & Ali, A. (2017). A multi-period scheduling method for trading-off between skilled-workers allocation and outsource service usage in dynamic CMS. International Journal of Production Research, 55(4), 997-1039.
Delgoshaei, A., Ariffin, M. K. A. M., Leman, Z., Baharudin, B. H. T. B., & Gomes, C. (2016b). Review of evolution of cellular manufacturing system’s approaches: Material transferring models. International Journal of Precision Engineering and Manufacturing, 17(1), 131-149.
Elmaghraby, S. E., & Herroelen, W. S. (1990). The scheduling of activities to maximize the net present value of projects. European Journal of Operational Research, 49(1), 35-49.
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. doi:https://doi.org/10.1016/j.ejor.2009.11.005
Hendricks, M. H., Voeten, B., & Kroep, L. H. (2002). Human resource allocation in a multiproject research and development environment. Managing Multiple Projects. Planning, Scheduling, and Allocating Resources for Competitive Advantage.
Jarboui, B., Damak, N., Siarry, P., & Rebai, A. (2008). A combinatorial particle swarm optimization for solving multi-mode resource-constrained project scheduling problems. Applied Mathematics and Computation, 195(1), 299-308.
Ke, H., & Liu, B. (2010). Fuzzy project scheduling problem and its hybrid intelligent algorithm. Applied Mathematical Modelling, 34(2), 301-308.
Kim, K., Yun, Y., Yoon, J., Gen, M., & Yamazaki, G. (2005). Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling. Computers in industry, 56(2), 143-160. doi:https://doi.org/10.1016/j.compind.2004.06.006
Kreter, S., Rieck, J., & Zimmermann, J. (2016). Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars. European Journal of Operational Research, 251(2), 387-403. doi:https://doi.org/10.1016/j.ejor.2015.11.021
Laslo, Z. (2010). Project portfolio management: An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses. International Journal of Project Management, 28(6), 609-618. doi:https://doi.org/10.1016/j.ijproman.2009.10.001
Lin, C.-M., & Gen, M. (2008). Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Systems with Applications, 34(4), 2480-2490. doi:https://doi.org/10.1016/j.eswa.2007.04.016
Mika, M., Waligóra, G., & Węglarz, J. (2005). Simulated annealing and tabu search for multi-mode resource-constrained project scheduling with positive discounted cash flows and different payment models. European Journal of Operational Research, 164(3), 639-668. doi:https://doi.org/10.1016/j.ejor.2003.10.053
Naber, A., & Kolisch, R. (2014). MIP models for resource-constrained project scheduling with flexible resource profiles. European Journal of Operational Research, 239(2), 335-348. doi:https://doi.org/10.1016/j.ejor.2014.05.036
Papke-Shields, K. E., & Boyer-Wright, K. M. (2017). Strategic planning characteristics applied to project management. International Journal of Project Management, 35(2), 169-179.
Pérez, E., Posada, M., & Lorenzana, A. (2016). Taking advantage of solving the resource constrained multi-project scheduling problems using multi-modal genetic algorithms. Soft Computing, 20(5), 1879-1896.
Rabbani, M., Ravanbakhsh, M., Farrokhi-Asl, H., & Taheri, M. (2017). Using metaheuristic algorithms for solving a hub location problem: application in passive optical network planning. International Journal of Supply and Operations Management, 4(1), 0-0.
Seifi, M., & Tavakkoli-Moghaddam, R. (2008). A new bi-objective model for a multi-mode resource-constrained project scheduling problem with discounted cash flows and four payment models. Int. J. of Engineering, Transaction A: Basic, 21(4), 347-360.
Sharon, A., & Dori, D. (2015). A Project–product model–based approach to planning work breakdown structures of complex system projects. IEEE Systems Journal, 9(2), 366-376.
Vaez, P. (2017). A New Mathematical Model for Simultaneous Lot-sizing and Production Scheduling Problems Considering Earliness/Tardiness Penalties and Setup Costs. International Journal of Supply and Operations Management, 4(2), 167-179.
Van de Vonder, S., Demeulemeester, E., Herroelen, W., & Leus, R. (2005). The use of buffers in project management: The trade-off between stability and makespan. International Journal of Production Economics, 97(2), 227-240.
Van de Vonder, S., Demeulemeester, E., Herroelen, W., & Leus, R. (2006). The trade-off between stability and makespan in resource-constrained project scheduling. International Journal of Production Research, 44(2), 215-236.
Van Peteghem, V., & Vanhoucke, M. (2010). A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem. European Journal of Operational Research, 201(2), 409-418.
Vanhoucke, M., & Debels, D. (2008). The impact of various activity assumptions on the lead time and resource utilization of resource-constrained projects. Computers & Industrial Engineering, 54(1), 140-154. doi:https://doi.org/10.1016/j.cie.2007.07.001
Ward, S., & Chapman, C. (2003). Transforming project risk management into project uncertainty management. International Journal of Project Management, 21(2), 97-105. doi:https://doi.org/10.1016/S0263-7863(01)00080-1
Węglarz, J., Józefowska, J., Mika, M., & Waligóra, G. (2011). Project scheduling with finite or infinite number of activity processing modes–A survey. European Journal of Operational Research, 208(3), 177-205. doi:https://doi.org/10.1016/j.ejor.2010.03.037
Yan, L., Jinsong, B., Xiaofeng, H., & Ye, J. (2009). A heuristic project scheduling approach for quick response to maritime disaster rescue. International Journal of Project Management, 27(6), 620-628. doi:doi.org/10.1016/j.ijproman.2008.10.001
Yu, Wang, S., Wen, F., & Lai, K. K. (2012). Genetic algorithm-based multi-criteria project portfolio selection. Annals of Operations Research, 197(1), 71-86.
Zhou, M., & Askin, R. G. (1998). Formation of general GT cells: an operation-based approach. Computers & industrial engineering, 34(1), 147-157.
ZIAEE, M. (2017). Modeling and solving the distributed and flexible job shop scheduling problem with WIPs supply planning and bounded processing times.