1. Ma, W., Che, Y., Huang, H., and Ke, H. Resourceconstrained project scheduling problem with uncertain durations and renewable resources", International Journal of Machine Learning and Cybernetics, 7(4), pp. 613{621 (2016). 2. Hindelang, T.J. and Muth, J.F. A dynamic programming algorithm for decision CPM networks", Operations Research, 27(2), pp. 225{241 (1979). 3. Kruger, D. and Scholl, A. A heuristic solution framework for the resource constrained (multi-)project scheduling problem with sequence-dependent transfer times", European Journal of Operational Research, 197, pp. 492{508 (2009). 4. Besikci, U., Bilge, U., and Ulusoy, G. Resource dedication problem in a multi-project environment", Flexible Services and Manufacturing Journal, 25, pp. 206{229 (2013). 5. Payne, J.H. Management of multiple simultaneous projects: A state-of-the-art review", International Journal of Project Management, 13(3), pp. 163{168 (1995). 6. Aritua, B., Smith, N.J., and Bower, D. Construction client multi-projects - A complex adaptive systems perspective", International Journal of Project Management, 27, pp. 72{79 (2009). 7. Bruni, M.E., Puglia Pugliese, L., Di Beraldi, P., and Guerriero, F. An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations", Omega, 71, pp. 66{84 (2017). 8. Bertsimas, D. and Sim, M. The price of robustness", Operations Research, 52(1), pp. 35{53 (2004). 9. Herroelen, W. and Leus, R. Project scheduling under uncertainty: Survey and research potentials", European Journal of Operational Research, 165, pp. 289{ 306 (2005). 10. Li, Z. and Floudas, C.A. Robust counterpart optimization: Uncertainty sets, formulations and probabilistic guarantees", Paper presented at the proceedings of the 6th conference on foundations of computer-aided process operations, Savannah (Georgia) (2012). http://focapo.cheme.cmu.edu/2012/ proceedings/ data/papers/030.pdf 11. Yamashita, D.S., Armentano, V.A., and Laguna, M. Robust optimization models for project scheduling with resource availability cost", Journal of Scheduling, 10, pp. 67{76 (2007). 12. Zheng, Z., Shumin, L., Ze, G., and Yueni, Z. Resource constraint multi project scheduling with priority and uncertain activity durations", International Journal of Computational Intelligence Systems, 6(3), pp. 530{547 (2013). 13. Kerzner, H., Project Management: A Systems Approach to Planning, Scheduling, and Controlling, Ed. 11th. pp. 1, 7, 42, 66, Hoboken: Wiley (2013). 14. Blismass, N., Sher, W.D., Thorpe, A., and Baldwin, A.N. Factors inuencing delivery within construction clients' multi-project environments", Engineering, Construction and Architectural Management, 11(2), pp. 113{125 (2004a). 15. Wei-xin, W., Xu, W., Xian-long, G., and Lei, D. Multi-objective optimization model for multi-project scheduling on critical chain", Advances in Engineering Software, 68, pp. 33{39 (2014). 16. Wauters, T., Kinable, J., Smet, P., Vancroonenburg, W., Berghe, G., and Verstichel, J. The multimode resource-constrained multi-project scheduling problem", Journal of Scheduling, 19(3), pp. 271{283 (2016). 17. Besikci, U., Bilge, U., and Ulusoy, G. Multi-mode resource constrained multi-project scheduling and resource portfolio problem", European Journal of Operational Research, 240, pp. 22{31 (2015). 18. Zheng, Z., Shumin, L., Ze, G., Yueni, Z., and Zhang, X. A critical chains-based distributed multi-project scheduling approach", Neurocomputing, 143, pp. 282{ 293 (2014). 19. Singh, A. Resource constrained multi-project scheduling with priority rules & analytic hierarchy process", Procedia Engineering, 69, pp. 725{734 (2014). 20. V_azquez, E.P., Calvo, M.P., and Ord_o~nez, P.M. Learning process on priority rules to solve the RCMPSP", Journal of Intelligent Manufacturing, 26(1), pp. 123{138 (2015). 21. Wang, Y., He, Z., Kerkhove, L., and Vanhoucke, M. On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem", Computers & Industrial Engineering, 114, pp. 223{234 (2017). 22. Uysal, F. Hybrid mate-heuristic algorithms for the resource constrained multi-project scheduling problem", PhD Thesis, Graduate School of Natural and Applied Sciences of Middle East Technical University (2014). 376 E. Nabipoor Afruzi et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 361{376 23. Nabipoor Afruzi, E., Roghanian, E., Naja_, A.A., and Mazinani, M. A multi-mode resource-constrained discrete time-cost tradeo_ problem solving using an adjusted fuzzy dominance genetic algorithm", Scientia Iranica, 20(3), pp. 931{944 (2014). 24. Hazir, O., Erel, E., and Gnalay, Y. Robust optimization models for the discrete time/cost trade-o_ problem", International Journal of Production Economics, 130(1), pp. 87{95 (2011). 25. Moghani Ghahremanlouie, S. and Fathi Hafashjani, K. A novel robust model for discrete time-cost trade o_ problem", International Journal of Industrial Engineering & Production Management, 25(1), pp. 1{14 (2014). 26. Rostami, S., Creemers, S., and Leus, R. A new policy class for the stochastic RCPSP", International Conference on Project Management and Scheduling (PMS), At Valencia, Spain, p. 15 (2016). 27. Tao, S., Wu, C., Sheng, Z., and Wang, X. Stochastic project scheduling with hierarchical alternatives", Applied Mathematical Modelling, 58, pp. 181{202 (2018). 28. Chiang, A.J. and Jeang, A. Stochastic project management via computer simulation and optimisation method", International Journal of Systems Science: Operations & Logistics, 2(4), pp. 211{230 (2015). 29. Ning, M., He, Z., Jia, T., and Wang, N. Metaheuristics for multi-mode cash ow balanced project scheduling with stochastic duration of activities", Automation in Construction, 81, pp. 224{233 (2017). 30. Chtourou, H. and Haouari, M. A two-stage-priorityrule- based algorithm for robust resource-constrained project scheduling", Computers and Industrial Engineering, 55(1), pp. 183{194 (2008). 31. Khalilzadeh, M., Shakeri, H., Gholami, H., and Amini, L. A heuristic algorithm for project scheduling with fuzzy parameters", Procedia Computer Science, 121, pp. 63{71 (2017). 32. Knyazeva, M., Bozhenyuk, B., and Rozenberg, I. Resource-constrained project scheduling approach under fuzzy conditions", Procedia Computer Science, 77, pp. 56{64 (2015). 33. Dixit, V., Srivastava, R.K., and Chaudhuri, A. Procurement scheduling for complex projects with fuzzy activity durations and lead times", Computers & Industrial Engineering, 76, pp. 401{414 (2014). 34. Huang, M., Yuan, J., and Xiao, J. An adapted _rey algorithm for product development project scheduling with fuzzy activity duration", Mathematical Problems in Engineering, 2015, Article ID 973291, 11 pages (2015). 35. Chakrabortty, R.K., Sarker, R.A., and Essam, D.L. Resource constrained project scheduling with uncertain activity durations", Computers & Industrial Engineering, 112, pp. 537{550 (2017). 36. Artigues, C., Leus, R., and Nobibon, F.T. Robust optimization for resource-constrained project scheduling with uncertain activity durations", Flexible Services and Manufacturing Journal, 25, pp. 175{205 (2013). 37. Balas E. Project scheduling with resource constraints", In E.M.L. Beale, Ed., Applications of Mathematical Programming Techniques, pp. 187{200, The English Universities Press Ltd (1971). 38. Assavapokee, T., Real_, M.J., Ammons, J.C., and Hong, I-H. Scenario relaxation algorithm for _nite scenario-based min-max regret and min-max relative regret robust optimization", Computers & Operations Research, 35, pp. 2093{2102 (2008). 39. Demeulemeester, E., Vanhoucke, M., and Herroelen, W. A random network generator for activity-on-thenode networks", Journal of Scheduling, 6, pp. 13{34 (2003). 40. Patterson, J.H. Project scheduling: the e_ects of problem structure on heuristic performance", Naval Research Logistic, 23(1), pp. 95{123 (1976).
)