[
Abdoul Soukour, A., Devendeville, L., Lucet, C., & Moukrim, A. (2013). A Memetic Algorithm for staff scheduling problem in airport security service. Expert Systems with Applications, 40(18), 7504-7512. doi: 10.1016/j.eswa.2013.06.073
]Search in Google Scholar
[
Ağralı, S., Taşkın, Z. C., & Ünal, A. T. (2017). Employee scheduling in service industries with flexible employee availability and demand. Omega (United Kingdom), 66, 159-169. doi: 10.1016/j.omega.2016.03.001
]Search in Google Scholar
[
Akbari, M., Zandieh, M., & Dorri, B. (2013). Scheduling part-time and mixed-skilled workers to maximize employee satisfaction. The International Journal of Advanced Manufacturing Technology, 64(5), 1017-1027. doi: 10.1007/s00170-012-4032-4
]Search in Google Scholar
[
Al-Yakoob, S. M., & Sherali, H. D. (2006). Mathematical programming models and algorithms for a class–faculty assignment problem. European Journal of Operational Research, 173(2), 488-507. doi: 10.1016/j. ejor.2005.01.052
]Search in Google Scholar
[
Al-Yakoob, S. M., & Sherali, H. D. (2007). Mixed-integer programming models for an employee scheduling problem with multiple shifts and work locations. Annals of Operations Research, 155(1), 119-142. doi: 10.1007/s10479-007-0210-4
]Search in Google Scholar
[
Al-Yakoob, S., & Sherali, H. (2007a). Multiple Shift Scheduling of Hierarchical Workforce with Multiple Work Centers. Informatica, Lith. Acad. Sci., 18, 325-342. doi: 10.15388/Informatica.2007.180
]Search in Google Scholar
[
Al-Yakoob, S., & Sherali, H. (2008). A column generation approach for an employee scheduling problem with multiple shifts and work locations. Journal of the Operational Research Society, 59, 34-43. doi: 10.1057/palgrave.jors.2602294
]Search in Google Scholar
[
Bentefouet, F., & Nembhard, D. A. (2013). Optimal flow-line conditions with worker variability. International Journal of Production Economics, 141(2), 675-684. doi: 10.1016/j.ijpe.2012.10.008
]Search in Google Scholar
[
Cuevas, R., Ferrer, J. C., Klapp, M., & Muñoz, J. C. (2016). A mixed integer programming approach to multi-skilled workforce scheduling. Journal of Scheduling, 19(1), 91-106. doi: 10.1007/s10951-015-0450-0
]Search in Google Scholar
[
Dantzig, G. (1954). Letter to the Editor - A Comment on Edie’s “Traffic Delays at Toll Booths.” Oper. Res., 2, 339-341.
]Search in Google Scholar
[
De Bruecker, P., Beliën, J., Van den Bergh, J., & Demeulemeester, E. (2018). A three-stage mixed integer programming approach for optimizing the skill mix and training schedules for aircraft maintenance. European Journal of Operational Research, 267(2), 439-452. doi: 10.1016/j.ejor.2017.11.047
]Search in Google Scholar
[
Edie, L. C. (1954). Traffic Delays at Toll Booths. Oper. Res., 2, 107-138.
]Search in Google Scholar
[
Goodale, J. C., & Thompson, G. M. (2004). A Comparison of Heuristics for Assigning Individual Employees to Labor Tour Schedules. Annals of Operations Research, 128(1), 47-63. doi: 10.1023/B:ANOR.0000019098.97205.cc
]Search in Google Scholar
[
Heimerl, C., & Kolisch, R. (2010). Scheduling and staffing multiple projects with a multi-skilled workforce. OR Spectrum, 32(2), 343-368. doi: 10.1007/s00291-009-0169-4
]Search in Google Scholar
[
Henao, C. A., Ferrer, J., Carlos, Muñoz, J. C., & Vera, J. (2016). Multiskilling with closed chains in a service industry: A robust optimization approach. International Journal of Production Economics, 179, 166-178. doi: 10.1016/j.ijpe.2016.06.013
]Search in Google Scholar
[
Henao, C. A., Munoz, J. C., & Ferrer, J. C. (2015). The impact of multi-skilling on personnel scheduling in the service sector: A retail industry case. Journal of the Operational Research Society, 66(12), 1949-1959. doi: 10.1057/jors.2015.9
]Search in Google Scholar
[
Houghton, E., & Portougal, V. (2005). A model for labour pooling in batch manufacturing. International Journal of Production Research, 43, 671-685. doi: 10.1080/00207540410001704023
]Search in Google Scholar
[
Huq, F., Cutright, K., & Martin, C. (2004). Employee scheduling and makespan minimization in a flow shop with multi-processor work stations: a case study. Omega, 32(2), 121-129. doi: 10.1016/j.omega.2003.09.014
]Search in Google Scholar
[
Jarray, F. (2009). A 4-day or a 3-day workweeks scheduling problem with a given workforce size. Asia-Pacific Journal of Operational Research (APJOR), 26, 685-696. doi: 10.1142/S0217595909002419
]Search in Google Scholar
[
Kaplansky, E., & Meisels, A. (2007). Distributed personnel scheduling – negotiation among scheduling agents. Annals OR, 155, 227-255. doi: 10.1007/s10479-007-0206-0
]Search in Google Scholar
[
Karam, A., Attia, E.-A., & Duquenne, P. (2017). A MILP model for an integrated project scheduling and multi-skilled workforce allocation with flexible working hours. IFAC-PapersOnLine, 50(1), 13964-13969. doi: 10.1016/j.ifacol.2017.08.2221
]Search in Google Scholar
[
Kim, S., & Nembhard, D. A. (2013). Rule mining for scheduling cross training with a heterogeneous workforce. International Journal of Production Research, 51(8), 2281-2300. doi: 10.1080/00207543.2012.716169
]Search in Google Scholar
[
Mac-Vicar, M., Ferrer, J. C., Muñoz, J. C., & Henao, C. A. (2017). Real-time recovering strategies on personnel scheduling in the retail industry. Computers & Industrial Engineering, 113, 589-601. doi: 10.1016/j. cie.2017.09.045
]Search in Google Scholar
[
Montoya-Torres, C. A. M.-C. and J. R. (2016). Sustainability in Production Systems: A Review of Optimization Methods Studying Social Responsibility Issues in Workforce Scheduling. Studies in Computational Intelligence, 640, 115-123. doi: 10.1007/978-3-319-30337-6
]Search in Google Scholar
[
Ni, H., & Abeledo, H. (2007). A branch-and-price approach for large-scale employee tour scheduling problems. Annals of Operations Research, 155(1), 167-176. doi: 10.1007/s10479-007-0212-2
]Search in Google Scholar
[
Orejuela, J. P., Peña, D., & Bustamante, N. (2014). Modeling the labor scheduling problem considering wellbeing for the clinic’s employees. Ingeniería y Competitividad, 16(1), 11-21.
]Search in Google Scholar
[
Örmeci, E. L., Salman, F. S., & Yücel, E. (2014). Staff rostering in call centers providing employee transportation. Omega, 43, 41-53. doi: 10.1016/j.omega.2013.06.003
]Search in Google Scholar
[
Petrovic, S., & Vanden Berghe, G. (2012). A comparison of two approaches to nurse rostering problems. Annals OR, 194, 365-384. doi: 10.1007/s10479-010-0808-9
]Search in Google Scholar
[
Rocha, M., Oliveira, J., & Carravilla, M. (2014). A constructive heuristic for staff scheduling in the glass industry. Annals of Operations Research, 217, 463-478. doi: 10.1007/s10479-013-1525-y
]Search in Google Scholar
[
Rocha, M., Oliveira, J. F., & Carravilla, M. A. (2013). Cyclic staff scheduling: optimization models for some real-life problems. Journal of Scheduling, 16(2), 231-242. doi: 10.1007/s10951-012-0299-4
]Search in Google Scholar
[
Rojas, L., Tapia, S., & Jensen, M. (2008). Asignación de supervisores forestales: resolución mediante un algoritmo tabu search. Ingeniare. Revista Chilena de Ingeniería, 16. doi: 10.4067/S0718-33052008000300003
]Search in Google Scholar
[
Rong, A., & Grunow, M. (2009). Shift designs for freight handling personnel at air cargo terminals. Transportation Research Part E: Logistics and Transportation Review, 45(5), 725-739. doi: 10.1016/j.tre.2009.01.005
]Search in Google Scholar
[
Ulusam Seçkiner, S., Gökçen, H., & Kurt, M. (2007). An integer programming model for hierarchical work-force scheduling problem. European Journal of Operational Research, 183(2), 694-699. doi: 10.1016/j.ejor.2006.10.030
]Search in Google Scholar
[
van der Veen, E., Hans, E. W., Veltman, B., Berrevoets, L. M., & Berden, H. J. J. M. (2015). A case study of cost-efficient staffing under annualized hours. Health Care Management Science, 18(3), 279-288. doi: 10.1007/s10729-014-9292-0
]Search in Google Scholar
[
Yan, S., Yang, T.-H., & Chen, H.-H. (2004). Airline short-term maintenance manpower supply planning. Transportation Research Part A: Policy and Practice, 38(9), 615-642. doi: 10.1016/j.tra.2004.03.005
]Search in Google Scholar
[
Zabihi, S., Rashidi Kahag, M., Maghsoudlou, H., & Afshar-Nadjafi, B. (2019). Multi-objective teaching-learning-based meta-heuristic algorithms to solve multi-skilled project scheduling problem. Computers & Industrial Engineering, 136, 195-211. doi: 10.1016/j. cie.2019.07.032
]Search in Google Scholar
, 