Blazewicz, J., Lenstra, J. K., & Kan, A. R. (1983). Scheduling subject to resource constraints: classification and complexity. Discrete applied mathematics, 5(1), 11-24.
 Ballestin, F., & Leus, R. (2009). Resource‐Constrained Project Scheduling for Timely Project Completion with Stochastic Activity Durations. Production and operations management, 18(4), 459-474.
 Tavakkoli-Moghaddam, R., Jolai, F., Vaziri, F., Ahmed, P. K., & Azaron, A. (2005). A hybrid method for solving stochastic job shop scheduling problems. Applied mathematics and computation, 170(1), 185-206.
 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 engineering, 114, 223-234.
 Lambrechts, O., Demeulemeester, E., & Herroelen, W. (2008). Proactive and reactive strategies for resource-constrained project scheduling with uncertain resource availabilities. Journal of scheduling, 11(2), 121-136.
 Valls, V., Laguna, M., Lino, P., Pérez, A., & Quintanilla, S. (1999). Project scheduling with stochastic activity interruptions. Project scheduling (pp. 333-353). Springer, Boston, MA.
 Wang, L., Huang, H., & Ke, H. (2015). Chance-constrained model for RCPSP with uncertain durations. Journal of uncertainty analysis and applications, 3(1), 12.
 Uysal, F., Isleyen, S., Cetinkaya, C., & Celik, N. (2015). Resource Constrained Project Scheduling Problem: An Analytical Approach. V international conference industrial engineering and environmental protection, 357-362.
 Hartmann, S., & Briskorn, D. (2008). A survey of deterministic modeling approaches for project scheduling under resource constraints. European journal of operational research, 207, 1-14.
 Kolisch, R., & Sprecher, A. (1997). PSPLIB-a project scheduling problem library: OR software-ORSEP operations research software exchange program. European journal of operational research, 96(1), 205-216.
 Dadfar, H., & Gustavsson, P. (1992). Competition by effective management of cultural diversity: the case of international construction projects. International studies of management & organization, 22(4), 81-92.
 Williams, T. M. (1992). Practical use of distributions in network analysis. Journal of the operational research society, 43(3), 265-270.
 Golenko-Ginzburg, D., & Gonik, A. (1997). Stochastic network project scheduling with non-consumable limited resources. International journal of production economics, 48(1), 29-37.
 Shou, Y., & Wang, W. (2012). Robust optimization-based genetic algorithm for project scheduling with stochastic activity durations. International information institute (Tokyo), 15(10), 4049- 4064.
 Yang, I. T., & Chang, C. Y. (2005). Stochastic resource-constrained scheduling for repetitive construction projects with uncertain supply of resources and funding. International journal of project management, 23(7), 546-553.
 Herroelen, W., & Leus, R. (2005). Project scheduling under uncertainty: Survey and research potentials. European journal of operational research, 165(2), 289-306.
 Kis, T. (2005). A branch-and-cut algorithm for scheduling of projects with variable-intensity activities. Mathematical programming, 103(3), 515-539.
 Long, L. D., & Ohsato, A. (2008). Fuzzy critical chain method for project scheduling under resource constraints and uncertainty. International journal of project management, 26(6), 688-698.
 Schonberger, R. J. (1981). Why projects are “always” late: a rationale based on manual simulation of a PERT/CPM network. Interfaces, 11(5), 66-70.
 Golenko-Ginzburg, D., Gonik, A., & Laslo, Z. (2003). Resource constrained scheduling simulation model for alternative stochastic network projects. Mathematics and computers in simulation, 63(2), 105-117.
 Li, S., Jia, Y., & Wang, J. (2012). A discrete-event simulation approach with multiple-comparison procedure for stochastic resource-constrained project scheduling. The international journal of advanced manufacturing technology, 63(1-4), 65-76.
 Erdogan, S. A., & Denton, B. (2013). Dynamic appointment scheduling of a stochastic server with uncertain demand. INFORMS journal on computing, 25(1), 116-132.
 Charnes, A., & Cooper, W. W. (1959). Chance-constrained programming. Management science, 6(1), 73-79.
 Charnes, A., & Cooper, W. W. (1962). Chance constraints and normal deviates. Journal of the American statistical association, 57(297), 134-148.
 Charnes, A., & Cooper, W. W. (1963). Deterministic equivalents for optimizing and satisficing under chance constraints. Operations research, 11(1), 18-39.
 Williams, H. P. (2013). Model building in mathematical programming. John Wiley & Sons.