This work is licensed under the Creative Commons Attribution 4.0 International License.
M. Ranjbar, “A path-relinking metaheuristic for the resource levelling problem,” J. Oper. Res. Soc., vol. 64, (7), pp. 1071–1078, 2013. Search in Google Scholar
J. Blazewicz, J.K. Lenstra and A.H.G.R. Kan, “Scheduling subject to resource constraints: classification and complexity,” Discrete Applied Mathematics, vol. 5, (1), pp. 11–24, 1983. Search in Google Scholar
S. Hartmann and D. Briskorn, “A survey of variants and extensions of the resource-constrained project scheduling problem,” Eur. J. Oper. Res., vol. 207, (1), pp. 1–14, 2010. Search in Google Scholar
E. Néron, “Lower bounds for the multi-skill project scheduling problem,” in Proceeding of the Eighth International Workshop on Project Management and Scheduling, 2002, pp. 274–277. Search in Google Scholar
B. Afshar-Nadjafi, “Multi-skilling in scheduling problems: A review on models, methods and applications,” Comput. Ind. Eng., vol. 151, pp. 107004, 2021. Search in Google Scholar
C.A. Henao, J.C. Muñoz and J.C. Ferrer, “The impact of multi-skilling on personnel scheduling in the service sector: a retail industry case,” J. Oper. Res. Soc., vol. 66, (12), pp. 1949–1959, 2015. Search in Google Scholar
M. Ertem, R. As’ad, M. Awad and A. Al-Bar, “Workers-constrained shutdown maintenance scheduling with skills flexibility: Models and solution algorithms,” Comput. Ind. Eng., vol. 172, pp. 108575, 2022. Search in Google Scholar
P. De Bruecker, J. Van den Bergh, J. Beliën and E. Demeulemeester, “Workforce planning incorporating skills: State of the art,” Eur. J. Oper. Res., vol. 243, (1), pp. 1–16, 2015. Search in Google Scholar
L. Zhu, J. Lin, Y. Li and Z. Wang, “A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem,” Knowledge-Based Syst., vol. 225, pp. 107099, 2021. Search in Google Scholar
L. Cui, X. Liu, S. Lu and Z. Jia, “A variable neighborhood search approach for the resource-constrained multi-project collaborative scheduling problem,” Applied Soft Computing, vol. 107, pp. 107480, 2021. Search in Google Scholar
L. Wang and X. Zheng, “A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem,” Swarm and Evolutionary Computation, vol. 38, pp. 54–63, 2018. Search in Google Scholar
Y. Ren and Z. Lu, “Modeling and optimization of multi-skill resource investment problem considering workload balancing of resources,” in 2017. Search in Google Scholar
M.E. Skowroński, P.B. Myszkowski, M. Adamski and P. Kwiatek, “Tabu search approach for multi-skill resource-constrained project scheduling problem,” in 2013, pp. 153–158. Search in Google Scholar
J. Cai, Z. Peng, S. Ding and J. Sun, “Problem-specific multi-objective invasive weed optimization algorithm for reconnaissance mission scheduling problem,” Comput. Ind. Eng., vol. 157, pp. 107345, 2021. Search in Google Scholar
P.B. Myszkowski, M.E. Skowroński and P. Ł, “Novel heuristic solutions for multi-skill resource-constrained project scheduling problem,” in 2013, pp. 159–166. Search in Google Scholar
S. Parisa, Z. Sina and K. Reza, “Solving a Multi-Objective Mathematical Model for a Multi-Skilled Project Scheduling Problem by Particle Swarm Optimization and Differential Evolution Algorithms,” Industrial Engineering & Management Systems, vol. 16, pp. 288–306, 2017. Search in Google Scholar
L. Florez, D. Castro-Lacouture and A.L. Medaglia, “Sustainable workforce scheduling in construction program management,” J. Oper. Res. Soc., vol. 64, (8), pp. 1169–1181, 2013. Search in Google Scholar
X. Shen, L.L. Minku, N. Marturi, Y. Guo and Y. Han, “A Q-learning-based memetic algorithm for multi-objective dynamic software project scheduling,” Inf. Sci., vol. 428, pp. 1–29, 2018. Search in Google Scholar
R. Kia, P. Shahnazari-Shahrezaei and S. Zabihi, “Solving a multi-objective mathematical model for a multi-skilled project scheduling problem by CPLEX solver,” in 2016. Search in Google Scholar
V. Yannibelli and A. Amandi, “Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem,” Expert Syst. Appl., vol. 40, (7), pp. 2421–2434, 2013. Search in Google Scholar
R. Chen, C. Liang, D. Gu and H. Zhao, “A competence-time-quality scheduling model of multi-skilled staff for IT project portfolio,” Comput. Ind. Eng., vol. 139, pp. 106183, 2020. Search in Google Scholar
H. Cheng and X. Chu, “Task assignment with multiskilled employees and multiple modes for product development projects,” The International Journal of Advanced Manufacturing Technology, vol. 61, (1–4), pp. 391–403, 2012. Search in Google Scholar
P. Shahnazari-Shahrezaei, R. Tavakkoli-Moghaddam and H. Kazemipoor, “Solving a new fuzzy multi-objective model for a multi-skilled manpower scheduling problem by particle swarm optimization and elite tabu search,” The International Journal of Advanced Manufacturing Technology, vol. 64, (9–12), pp. 1517–1540, 2013. Search in Google Scholar
H. Maghsoudlou, B. Afshar-Nadjafi and S.T. Akhavan Niaki, “Multi-skilled project scheduling with level-dependent rework risk; three multi-objective mechanisms based on cuckoo search,” Applied Soft Computing, vol. 54, pp. 46–61, 2017. Search in Google Scholar
S.C. Vanucci, E.G. Carrano, R. Bicalho and R.H.C. Takahashi, “A modified NSGA-II for the multiobjective multi-mode resource-constrained project scheduling problem,” in 2012. Search in Google Scholar
M. Arashpour, R. Wakefield, B. Abbasi, M. Arashpour and R. Hosseini, “Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources,” Architectural Engineering and Design Management, vol. 14, (1–2), pp. 46–59, 2018. Search in Google Scholar
J. Sun, Z. Peng and J. Cai, “Problem specific genetic differential evolution algorithm for multi-skill resource-constrained project scheduling of collaborative multi-robot systems for search and rescue,” in 2021. Search in Google Scholar
H. Maghsoudlou, B. Afshar-Nadjafi and S.T.A. Niaki, “A framework for preemptive multi-skilled project scheduling problem with time-of-use energy tariffs,” Energy Systems, vol. 12, (2), pp. 431–458, 2021. Search in Google Scholar
N. Wongwai and S. Malaikrisanachalee, “Cost-Resource Replacement Trade-off Algorithm for Multi-Skilled Resource Scheduling,” International Journal of Engineering Research and Technology, vol. 13, (2), pp. 212, 2020. Search in Google Scholar
Y. U. Yining, X. U. Zhe and L. I. U. Dongning, “Distributed multi-project scheduling problem with multi-skilled staff,” Systems Engineering – Theory & Practice, vol. 40, (11), pp. 2921–2933, 2020. Search in Google Scholar
D. Hedjazi, “Scheduling a maintenance activity under skills constraints to minimize total weighted tardiness and late tasks,” International Journal of Industrial Engineering Computations, vol. 6, (2), pp. 135–144, 2015. Search in Google Scholar
C. Liu, “A Hybrid Genetic Algorithm to Minimize Total Tardiness for Unrelated Parallel Machine Scheduling with Precedence Constraints,” Mathematical Problems in Engineering, vol. 2013, pp. 1–11, 2013. Search in Google Scholar
A.H. Hosseinian and V. Baradaran, “A multi-objective multi-agent optimization algorithm for the multi-skill resource-constrained project scheduling problem with transfer times,” RAIRO – Operations Research, vol. 55, (4), pp. 2093–2128, 2021. Search in Google Scholar
A. Ghamginzadeh, A.A. Najafi and M. Khalilzadeh, “Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem Under Time Uncertainty,” Int. J. Fuzzy Syst., vol. 23, (2), pp. 518–534, 2021. Search in Google Scholar
G. Campos Ciro, F. Dugardin, F. Yalaoui and R. Kelly, “Open shop scheduling problem with a multi-skills resource constraint: a genetic algorithm and an ant colony optimisation approach,” Int. J. Prod. Res., vol. 54, (16), pp. 4854–4881, 2016. Search in Google Scholar
I. Correia and F. Saldanha-Da-Gama, “A modeling framework for project staffing and scheduling problems,” in Handbook on Project Management and Scheduling Vol.1. Springer International Publishing, 2015, pp. 547–564. Search in Google Scholar
C. Montoya, O. Bellenguez-Morineau, E. Pinson and D. Rivreau, “Integrated column generation and lagrangian relaxation approach for the multi-skill project scheduling problem,” in Handbook on Project Management and Scheduling Vol.1. Springer International Publishing, 2015, pp. 565–586. Search in Google Scholar
H. Li, “Benders decomposition approach for project scheduling with multi-purpose resources,” in Handbook on Project Management and Scheduling Vol.1. Cham: Springer International Publishing, 2014, pp. 587–601. Search in Google Scholar
Wang Yi-fan, Sun Fu-quan, Liu Shi-xin and Chen Di, “A new method to solve project scheduling problems with multi-skilled workforce constraints,” in May 2013, pp. 2408–2412. Search in Google Scholar
H. Li and K. Womer, “Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm,” Journal of Scheduling, vol. 12, (3), pp. 281–298, 2009. Search in Google Scholar
>C. Montoya, O. Bellenguez-Morineau, E. Pinson and D. Rivreau, “Branch-and-price approach for the multi-skill project scheduling problem,” Optim Lett, vol. 8, (5), pp. 1721–1734, 2014. Search in Google Scholar
O. Bellenguez-Morineau and E. Néron, “Multi-Mode and Multi-Skill project scheduling problem,” in Resource‐ Constrained Project Scheduling. London, UK: ISTE, 2008, pp. 149–160. Search in Google Scholar
O. Bellenguez-Morineau and E. Néron, “A Branch-and-Bound method for solving Multi-Skill Project Scheduling Problem,” RAIRO-Oper. Res., vol. 41, (2), pp. 155–170, 2007. Search in Google Scholar
R. Chen, C. Liang, D. Gu and J.Y. Leung, “A multi-objective model for multi-project scheduling and multi-skilled staff assignment for IT product development considering competency evolution,” Int J Prod Res, vol. 55, (21), pp. 6207–6234, Nov 2, 2017. Search in Google Scholar
Yifei Ren and Zhiqiang Lu, “Modeling and optimization of multi-skill resource investment problem considering workload balancing of resources,” in Aug 2017, pp. 699–704. Search in Google Scholar
I. Abotaleb, M. Moussa and S. Hussain, “Optimization of Allocating Multi-Skilled Labor Resources Using Genetic Algorithms,” Jan 1, 2014. Search in Google Scholar
H. Zha and L. Zhang, “Fuzzy flexible resource constrained project scheduling based on genetic algorithm,” Trans. Tianjin Univ, vol. 20, (6), pp. 469–474, 2014. Search in Google Scholar
E. Attia, K. H. Edi and P. Duquenne, “Flexible resources allocation techniques: characteristics and modelling,” International Journal of Operational Research, vol. 14, (2), pp. 221–254, Jan 1, 2012. Search in Google Scholar
H. Dai, W. Cheng, W. Yang and Y. Wang, “A general variable neighbourhood search for multi-skill resource-constrained project scheduling problem with step-deterioration,” International Journal of Industrial and Systems Engineering, vol. 34, (2), pp. 145–164, 2020. Search in Google Scholar
H. Dai and W. Cheng, “A general variable neighborhood search based on path relinking algorithm for multi-skill resource-constrained project scheduling problem with multiple restrictions,” Journal of Physics. Conference Series, vol. 1341, (5), pp. 52006, Oct 1, 2019. Search in Google Scholar
H. Dai and W. Cheng, “A Memetic Algorithm for Multiskill Resource-Constrained Project Scheduling Problem under Linear Deterioration,” Mathematical Problems in Engineering, vol. 2019, pp. 1–16, Jul 4, 2019. Search in Google Scholar
Y. Tian, T. Xiong, Z. Liu, P. Deng and L. Wan, “Novel feedback-based operators in solving multi-skill resource-constrained project scheduling problem,” in Aug 2020, pp. 296–301. Search in Google Scholar
A.H. Hosseinian and V. Baradaran, “P-GWO and MOFA: two new algorithms for the MSRCPSP with the deterioration effect and financial constraints (case study of a gas treating company),” Appl Intell, vol. 50, (7), pp. 2151–2176, 2020. Search in Google Scholar
H.D. Quoc, L.N. The, C.N. Doan and T.P. Thanh, “New effective differential evolution algorithm for the project scheduling problem,” in Jun 2020, pp. 150–157. Search in Google Scholar
R. Chen, J. Lu, H. Zhang and L. Xia, “Research on Scheduling Problem of Discrete Manufacturing Workshop for Major Equipment in Complicated Environment,” IOP Conference Series: Materials Science and Engineering, vol. 688, (5), pp. 055048, 2019. Search in Google Scholar
H. Maghsoudlou, B. Afshar-Nadjafi and S.T.A. Niaki, “Preemptive multi-skilled resource constrained project scheduling problem with hard/soft interval due dates,” RAIRO. Recherche Opérationnelle, vol. 53, (5), pp. 1877–1898, Nov, 2019. Search in Google Scholar
Y. Ren and Z. Lu, “A flexible resource investment problem based on project splitting for aircraft moving assembly line,” Assem. Autom., vol. 39, (4), pp. 532–547, 2019. Search in Google Scholar
Y. Ma, Z. He and N. Wang, “Proactive project scheduling optimization based on flexible resource constraint,” in Sep 2019, pp. 1–5. Search in Google Scholar
T. Felberbauer, W.J. Gutjahr and K.F. Doerner, “Stochastic project management: multiple projects with multi-skilled human resources,” J Sched, vol. 22, (3), pp. 271–288, Jun 15, 2019. Search in Google Scholar
J. Chen, S. Tong, H. Xie, Y. Nie and J. Zhang, “Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization,” Discrete Dynamics in Nature and Society, vol. 2019, pp. 1–13, Apr 3, 2019. Search in Google Scholar
O. Polo Mejia, M. Anselmet, C. Artigues and P. Lopez, “A new RCPSP variant for scheduling research activities in a nuclear laboratory,” 47th International Conference on Computers & Industrial Engineering (CIE47), 2017. Search in Google Scholar
Q. Liu, X. Geng, M. Dong, W. Lv and C. Ye, “Scheduling optimization of design stream line for production research and development projects,” Engineering Optimization, vol. 49, (5), pp. 896–914, 2017. Search in Google Scholar
A. Dolgui, S. Kovalev, M. Y. Kovalyov, S. Malyutin and A. Soukhal, “Optimal workforce assignment to operations of a paced assembly line,” European Journal of Operational Research, vol. 264, (1), pp. 200–211, Jan 1, 2018. Search in Google Scholar
H. Maghsoudlou, B. Afshar-Nadjafi and S.T.A. Niaki, “A multi-objective invasive weeds optimization algorithm for solving multi-skill multi-mode resource constrained project scheduling problem,” Computers & Chemical Engineering, vol. 88, pp. 157–169, May 8, 2016. Search in Google Scholar
D. Joshi, M.L. Mittal and M. Kumar, “Modeling a Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem to Minimize Project Makespan and Skill Divergence Span,” 2015. Search in Google Scholar
L. Zhu, J. Lin and Z. Wang, “A discrete oppositional multi-verse optimization algorithm for multi-skill resource constrained project scheduling problem,” Applied Soft Computing, vol. 85, pp. 105805, Dec, 2019. Search in Google Scholar
S. Zabihi, M. Rashidi Kahag, H. Maghsoudlou and B. Afshar-Nadjafi, “Multi-objective teaching-learning-based meta-heuristic algorithms to solve multi-skilled project scheduling problem,” Computers & Industrial Engineering, vol. 136, pp. 195–211, Oct, 2019. Search in Google Scholar
H. Zheng, L. Wang and X. Zheng, “Teaching – learning-based optimization algorithm for multi-skill resource constrained project scheduling problem,” Soft Computing, vol. 21, (6), pp. 1537–1548, 2017. Search in Google Scholar
J. Lin, L. Zhu and K. Gao, “A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem,” Expert Systems with Applications, vol. 140, pp. 112915, Feb, 2020. Search in Google Scholar
Y.F. Ren, Z.Q. Lu, X.Y. Liu and M. Zhang, “Project scheduling problem with hierarchical levels of skills,” Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), vol. 51, (5), pp. 1000–1006, 2017. Search in Google Scholar
S. Javanmard, B. Afshar-Nadjafi and S.T. Akhavan Niaki, “Preemptive multi-skilled resource investment project scheduling problem: Mathematical modelling and solution approaches,” Computers & Chemical Engineering, vol. 96, pp. 55–68, Jan 4, 2017. Search in Google Scholar
W.J. Gutjahr and P. Reiter, “Bi-objective project portfolio selection and staff assignment under uncertainty,” Optimization, vol. 59, (3), pp. 417–445, 2010. Search in Google Scholar
A.H. Hosseinian and V. Baradaran, “A two-phase approach for solving the multi-skill resource-constrained multi-project scheduling problem: a case study in construction industry,” Engineering, Construction and Architectural Management, vol. 30, (1), pp. 321–363, 2023. Search in Google Scholar
O. Polo-Mejía, C. Artigues, P. Lopez, L. Mönch and V. Basini, “Heuristic and metaheuristic methods for the multi-skill project scheduling problem with partial preemption,” International Transactions in Operational Research, vol. 30, (2), pp. 858–891, Mar, 2023. Search in Google Scholar
S. Javanmard, B. Afshar-Nadjafi and S. Taghi Akhavan Niaki, “A bi-objective model for scheduling of multiple projects under multi-skilled workforce for distributed load energy usage,” Operational Research, 2021. Search in Google Scholar
P.B. Myszkowski, M. Laszczyk and D. Kalinowski, “Co-evolutionary algorithm solving multi-skill resource-constrained project scheduling problem,” in Sep 2017, pp. 75–82. Search in Google Scholar
P. Shahnazari-Shahrezaei, S. Zabihi and R. Kia, “Solving a Multi-Objective Mathematical Model for a Multi-Skilled Project Scheduling Problem by Particle Swarm Optimization and Differential Evolution Algorithms,” Industrial Engineering & Management Systems: An International Journal, vol. 16, (3), pp. 288–306, 2017. Search in Google Scholar
P.B. Myszkowski, M. Laszczyk and J. Lichodij, “Efficient selection operators in NSGA-II for solving bi-objective multi-skill resource-constrained project scheduling problem,” in Sep 2017, pp. 83–86. Search in Google Scholar
M.A. Isah and B. Kim, “Integrating Schedule Risk Analysis with Multi-Skilled Resource Scheduling to Improve Resource-Constrained Project Scheduling Problems,” Applied Sciences, vol. 11, (2), pp. 650, Jan 11, 2021. Search in Google Scholar
S. Liu and C. Wang, “Optimizing linear project scheduling with multi-skilled crews,” Autom. Constr., vol. 24, pp. 16–23, Jul, 2012. Search in Google Scholar
Liu Xinbao, Lu Shaojun and Jia Zhaoli, “A variable neighbourhood search approach for the resource-constrained multi-project collaborative scheduling problem,” vol. 107, 2021. Search in Google Scholar
A. Bobek, C. Imondi, T. Shott and M. Toobaei, “Heterogeneous project scheduling for optimal six-sigma cost reduction using linear programing,” in 2012, pp. 2405–2413. Search in Google Scholar
H.Y. Chiang and B.M.T. Lin, “A Decision Model for Human Resource Allocation in Project Management of Software Development,” IEEE Access, vol. 8, pp. 38073–38081, 2020. Search in Google Scholar
S. Swangnop and P. Chaovalitwongse, “A Two-Step Tabu Search Heuristic for Multi-period Multi-site Assignment Problem with Joint Requirement of Multiple Resource Types,” Eng. J., vol. 18, (3), pp. 83–98, Jul 10, 2014. Search in Google Scholar
M.F. Fauske, “Using a genetic algorithm to solve the troops-to-tasks problem in military operations planning,” Journal of Defense Modeling and Simulation, vol. 14, (4), pp. 439–446, Oct, 2017. Search in Google Scholar
H. Li and K. Womer, “A Decomposition Approach for Shipboard Manpower Scheduling,” Military Operations Research (Alexandria, Va.), vol. 14, (3), pp. 67–90, Jan 1, 2009. Search in Google Scholar
A. Nasirian, M. Arashpour, B. Abbasi, E.K. Zavadskas and A. Akbarnezhad, “Skill Set Configuration in Prefabricated Construction: Hybrid Optimization and Multicriteria Decision-Making Approach,” J. Constr. Eng. Manage., vol. 145, (9), Sep 1, 2019. Search in Google Scholar
H. Nie, B. Liu, P. Xie, Z. Liu and H. Yang, “A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce,” Journal of Networks, vol. 9, (5), pp. 1346, May 1, 2014. Search in Google Scholar
L. Florez, A.L. Medaglia and D. Castro, “Maximizing labor stability as a sustainability performance indicator in project scheduling,” in Construction Research Congress 2012, pp. 465–474. Search in Google Scholar
>P. Korytkowski and B. Malachowski, “Competence-based estimation of activity duration in IT projects,” Eur. J. Oper. Res., vol. 275, (2), pp. 708–720, Jun 1, 2019. Search in Google Scholar
R. Celkevicius and R.F.S.M. Russo, “An integrated model for allocation and leveling of human resources in IT projects,” International Journal of Managing Projects in Business, vol. 11, (2), pp. 234–256, 2018. Search in Google Scholar
Guo Y.-n, J. Ji, J. Ji and Gong D.-w., “Multi-objective software project scheduling optimization method with the learning and forgetting effect,” 2018. Search in Google Scholar
Y. Li and Z. Xiao, “A Constraint-Based Approach for Multi-Skilled Project Scheduling Problem,” Applied Mechanics and Materials, vol. 681, pp. 265–269, Oct 1, 2014. Search in Google Scholar
H. Najafzad, H. Davari-Ardakani and R. Nemati-Lafmejani, “Multi-skill project scheduling problem under time-of-use electricity tariffs and shift differential payments,” Energy (Oxf.), vol. 168, pp. 619–636, Feb 1, 2019. Search in Google Scholar
Polo-mejia Oliver, Artigues Christian and Lopez Pierre, “A Heuristic Method for the Multi-skill Project Scheduling Problem with Partial Preemption,” 2019. Search in Google Scholar
J. Snauwaert and M. Vanhoucke, “A new algorithm for resource-constrained project scheduling with breadth and depth of skills,” Eur. J. Oper. Res., vol. 292, (1), pp. 43–59, 2021. Search in Google Scholar
X. Wang, F. A. F. Ferreira and C. Chang, “Multi-objective competency-based approach to project scheduling and staff assignment: Case study of an internal audit project,” Socioecon. Plann. Sci., vol. 81, pp. 101182, Jun, 2022. Search in Google Scholar
M. Hematian, M.M. Seyyed Esfahani, I. Mahdavi, N. Mahdavi-Amiri and J. Rezaeian, “A multiobjective integrated multiproject scheduling and multiskilled workforce assignment model considering learning effect under uncertainty,” Comput. Intell., vol. 36, (1), pp. 276–296, 2020. Search in Google Scholar
Joshi Dheeraj, M. L. Mittal and Kumar Manish, “Modeling a Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem to Minimize Project Makespan and Skill Divergence Span,” 2020. Search in Google Scholar
C. Di, Liu Shi-xin and Wang Yi-fan, “Modeling for project scheduling with multi-skilled workforce constraints and uncertainty,” in 2014, pp. 157–160. Search in Google Scholar
B. Maenhout and M. Vanhoucke, “A resource type analysis of the integrated project scheduling and personnel staffing problem,” Ann Oper Res, vol. 252, (2), pp. 407–433, 2017. Search in Google Scholar
M. Walter and J. Zimmermann, “Minimizing average project team size given multi-skilled workers with heterogeneous skill levels,” Comput. Oper. Res., vol. 70, pp. 163–179, Jun, 2016. Search in Google Scholar
J. Chen, J. Zhu and D. Zhang, “Multi-project scheduling problem with human resources based on dynamic programming and staff time coefficient,” in 2014, pp. 1012–1018. Search in Google Scholar
V. Fernandez-Viagas and J. M. Framinan, “Integrated Project Scheduling and Staff Assignment with Controllable Processing Times,” The Scientific World, vol. 2014, pp. 924120–16, Apr 24, 2014.Search in Google Scholar
T. Geibinger, F. Mischek and N. Musliu, “Investigating constraint programming for real world industrial test laboratory scheduling,” in Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Springer International Publishing, 2019, pp. 304–319.Search in Google Scholar
S. Tackenberg and S. Duckwitz, “Actor-oriented optimization model for maintenance tasks,” in 2018. Search in Google Scholar
M. Arashpour, V. Kamat, Y. Bai, R. Wakefield and B. Abbasi, “Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction,” Autom. Constr., vol. 95, pp. 1–9, 2018.Search in Google Scholar
M.A. Santos and A.P. Tereso, “On the multi-mode, multi-skill resource constrained project scheduling problem – A software application,” in Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011, pp. 239–248.Search in Google Scholar
A. Karam, E. Attia and P. Duquenne, “A MILP model for an integrated project scheduling and multi-skilled workforce allocation with flexible working hours,” IFAC-PapersOnLine, vol. 50, (1), pp. 13964–13969, 2017.Search in Google Scholar
Y. Ren and Z. Lu, “Integrated optimisation of the flexible resource workload balancing and investment project scheduling problem,” International Journal of Mechatronics and Automation, vol. 6, (2–3), pp. 71–82, 2018.Search in Google Scholar
M.N.K. Saunders, P. Lewis and A. Thornhill, “Research methods for business students,” 2009. Search in Google Scholar
B. Fahimnia, J. Sarkis and H. Davarzani, “Green supply chain management: A review and bibliometric analysis,” Int J Prod Econ, vol. 162, pp. 101–114, 2015.Search in Google Scholar
D. Mishra, A. Gunasekaran, T. Papadopoulos and S. J. Childe, “Big Data and supply chain management: a review and bibliometric analysis,” Annals of Operations Research, vol. 270, (1), pp. 313–336, 2018.Search in Google Scholar
L.M. Kipper, L.B. Furstenau, D. Hoppe, R. Frozza and S. Iepsen, “Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis,” Int J Prod Res, vol. 58, (6), pp. 1605–1627, 2020. Search in Google Scholar
A. Saihi, M. Ben-Daya and R.A. As’ad, “Maintenance and sustainability: a systematic review of modeling-based literature,” Journal of Quality in Maintenance Engineering, vol. 29, (1), pp. 155–187, 2023. Search in Google Scholar
J. Borregan-Alvarado, I. Alvarez-Meaza, E. Cilleruelo-Carrasco and G. Garechana-Anacabe, “A Bibliometric Analysis in Industry 4.0 and Advanced Manufacturing: What about the Sustainable Supply Chain?” Sustainability, vol. 12, (19), pp. 7840, 2020.Search in Google Scholar
O. Persson, R. Danell and J. Schneider, “How to use Bibexcel for various types of bibliometric analysis,” Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at His 60th Birthday, vol. 5, pp. 9–24, 2009. Search in Google Scholar
N.J. Van Eck and L. Waltman, “Text mining and visualization using VOSviewer,” arXiv Preprint arXiv:1109.2058, 2011.Search in Google Scholar
M. Bastian, S. Heymann and M. Jacomy, “Gephi: An open source software for exploring and manipulating networks,” in 2009. Search in Google Scholar
E.C. Garfield, “Citation Analysis as a Tool in Journal Evaluation,” Science, vol. 178, (4060), pp. 471–479, 1972.Search in Google Scholar
A.D. Sharplin and R.H. Mabry, “The Relative Importance of Journals Used in Management Research: An Alternative Ranking,” Human Relations, vol. 38, (2), pp. 139–149, 1985.Search in Google Scholar
M.J. Culnan, “The Intellectual Development of Management Information Systems, 19721982: A Co-Citation Analysis,” Management Science, vol. 32, (2), pp. 156, 1986. Search in Google Scholar
M. Skowronski and P.B. Myszkowski, Specialized Genetic Operators for Multi-Skill Resource-Constrained Project Scheduling Problem. 2013.Search in Google Scholar
P.B. Myszkowski, M.E. Skowroński, ŁP. Olech and K. Oślizło, “Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem,” Soft Computing, vol. 19, (12), pp. 3599–3619, 2015. Search in Google Scholar
O. Bellenguez and E. Néron, “Lower bounds for the multi-skill project scheduling problem with hierarchical levels of skills,” in Practice and Theory of Automated Timetabling. Springer Berlin Heidelberg, 2005, pp. 229–243. Search in Google Scholar
O. Bellenguez-Morineau and E. Néron, “Multi-Mode and Multi-Skill Project Scheduling Problem,” Resource-Constrained Project Scheduling, pp. 149–160, 2008. Search in Google Scholar
M. Fırat and C.A.J. Hurkens, “An improved MIP-based approach for a multi-skill workforce scheduling problem,” Journal of Scheduling, vol. 15, (3), pp. 363–380, 2012.Search in Google Scholar
O. Bellenguez-Morineau, “Methods to solve multi-skill project scheduling problem,” 4or, vol. 6, (1), pp. 85–88, 2008.Search in Google Scholar
P.B. Myszkowski, M. Skowroński and K. Sikora, “A new benchmark dataset for multi-skill resource-constrained project scheduling problem,” in 2015.Search in Google Scholar
I. Correia and F. Saldanha-Da-Gama, “The impact of fixed and variable costs in a multi-skill project scheduling problem: An empirical study,” Computers and Industrial Engineering, vol. 72, (1), pp. 230–238, 2014. Search in Google Scholar
Y. Ding and B. Cronin, “Popular and/or prestigious? Measures of scholarly esteem,” Information Processing & Management, vol. 47, (1), pp. 80–96, 2011.Search in Google Scholar
Y. Ding, E. Yan, A. Frazho and J. Caverlee, “PageRank for ranking authors in co-citation networks,” J. Am. Soc. Inf. Sci. Technol., vol. 60, (11), pp. 2229–2243, 2009.Search in Google Scholar
S. Brin and L. Page, “The anatomy of a large-scale hypertextual Web search engine,” Comput. Networks ISDN Syst., vol. 30, (1), pp. 107–117, 1998.Search in Google Scholar
P. Chen, H. Xie, S. Maslov and S. Redner, “Finding scientific gems with Google’s PageRank algorithm,” Journal of Informetrics, vol. 1, (1), pp. 8–15, 2007.Search in Google Scholar
B.H. Tabrizi, R. Tavakkoli-Moghaddam and S.F. Ghaderi, “A two-phase method for a multi-skilled project scheduling problem with discounted cash flows,” Sci. Iranica, vol. 21, (3), pp. 1083–1095, 2014.Search in Google Scholar
V. Tiwari, J.H. Patterson and V.A. Mabert, “Scheduling projects with heterogeneous resources to meet time and quality objectives,” Eur. J. Oper. Res., vol. 193, (3), pp. 780–790, 2009. Search in Google Scholar
P. Smet, T. Wauters, M. Mihaylov and G. Vanden Berghe, “The shift minimisation personnel task scheduling problem: A new hybrid approach and computational insights,” Omega, vol. 46, pp. 64–73, 2014.Search in Google Scholar
N. Wongwai and S. Malaikrisanachalee, “Augmented heuristic algorithm for multi-skilled resource scheduling,” Autom. Constr., vol. 20, (4), pp. 429–445, 2011. Search in Google Scholar
A. Pilkington and C. Liston-Heyes, “Is production and operations management a discipline? A citation/co-citation study,” International Journal of Operations & Production Management, vol. 19, (1), pp. 7–20, 1999.Search in Google Scholar
H. Small, “Co-Citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents,” Journal of the American Society for Information Science, vol. 24, pp. 265–269, 1973.Search in Google Scholar
C. Chen, F. Ibekwe-Sanjuan and J. Hou, “The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis,” J. Am. Soc. Inf. Sci. Technol., vol. 61, pp. 1386–1409, 2010.Search in Google Scholar
L. Leydesdorff, “Bibliometrics/citation networks,” arXiv Preprint arXiv:1502.06378, 2015. Search in Google Scholar
B. Hjørland, “Citation analysis: A social and dynamic approach to knowledge organization,” Information Processing & Management, vol. 49, (6), pp. 1313–1325, 2013. Search in Google Scholar
>F. Radicchi, C. Castellano, F. Cecconi, V. Loreto and D. Parisi, “Defining and identifying communities in networks,” Proceedings of the National Academy of Sciences, vol. 101, (9), pp. 2658–2663, 2004. Search in Google Scholar
A. Clauset, M.E.J. Newman and C. Moore, “Finding community structure in very large networks,” Physical Review E, vol. 70, (6), pp. 066111, 2004. Search in Google Scholar
V.D. Blondel, J. Guillaume, R. Lambiotte and E. Lefebvre, “Fast unfolding of communities in large networks,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2008, (10), pp. P10008, 2008.Search in Google Scholar
S. Hartmann and D. Briskorn, “A survey of variants and extensions of the resource-constrained project scheduling problem,” Eur. J. Oper. Res., vol. 207, (1), pp. 1–14, 2010.Search in Google Scholar
R. Kolisch and R. Padman, “An integrated survey of deterministic project scheduling,” Omega (Oxford), vol. 29, (3), pp. 249-272, Jun 1, 2001.Search in Google Scholar
C. Heimerl and R. Kolisch, “Scheduling and staffing multiple projects with a multi-skilled workforce,” OR Spectrum, vol. 32, (2), pp. 343–368, 2010.Search in Google Scholar
J. Alcaraz, C. Maroto and R. Ruiz, “Solving the Multi-Mode Resource-Constrained Project Scheduling Problem with genetic algorithms,” The Journal of the Operational Research Society, vol. 54, (6), pp. 614–626, Jun 1, 2003.Search in Google Scholar
B.F. Almeida, I. Correia and F. Saldanha-da-Gama, “Priority-based heuristics for the multi-skill resource constrained project scheduling problem,” Expert Systems with Applications, vol. 57, pp. 91–103, Sep 15, 2016. Search in Google Scholar
S. Hartmann and R. Kolisch, “Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem,” Eur. J. Oper. Res., vol. 127, (2), pp. 394–407, 2000. Search in Google Scholar
W.J. Gutjahr, S. Katzensteiner, P. Reiter, C. Stummer and M. Denk, “Competence-driven project portfolio selection, scheduling and staff assignment,” Central Europ J Oper Res, vol. 16, (3), pp. 281–306, Sep 1, 2008.Search in Google Scholar
R. Kolisch and S. Hartmann, “Experimental investigation of heuristics for resource-constrained project scheduling: An update,” European Journal of Operational Research, vol. 174, (1), pp. 23–37, Oct 1, 2006. Search in Google Scholar
S. Shadrokh and F. Kianfar, “A genetic algorithm for resource investment project scheduling problem, tardiness permitted with penalty,” European Journal of Operational Research, vol. 181, (1), pp. 86–101, Aug 16, 2007. Search in Google Scholar
R. Kolisch, “Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation,” European Journal of Operational Research, vol. 90, (2), pp. 320–333, Apr 19, 1996. Search in Google Scholar
P. Brucker, A. Drexl, R. Möhring, K. Neumann and E. Pesch, “Resource-constrained project scheduling: Notation, classification, models, and methods,” Eur. J. Oper. Res., vol. 112, (1), pp. 3–41, 1999. Search in Google Scholar
D. Golenko-Ginzburg and D. Blokh, “A generalized activity network model,” The Journal of the Operational Research Society, vol. 48, (4), pp. 391–400, Apr 1, 1997. Search in Google Scholar
V. Yannibelli and A. Amandi, “A knowledge-based evolutionary assistant to software development project scheduling,” Expert Systems with Applications, vol. 38, (7), pp. 8403–8413, Jul 1, 2011. Search in Google Scholar
E.L. Demeulemeester and W.S. Herroelen, “An efficient optimal solution procedure for the preemptive resource-constrained project scheduling problem,” European Journal of Operational Research, vol. 90, (2), pp. 334–348, Apr 19, 1996. Search in Google Scholar
>R. Heilmann, “Resource – constrained project scheduling: a heuristic for the multi-mode case,” OR Spektrum, vol. 23, (3), pp. 335–357, Aug 1, 2001. Search in Google Scholar
L. Drezet and J. Billaut, “A project scheduling problem with labour constraints and time-dependent activities requirements,” International Journal of Production Economics, vol. 112, (1), pp. 217–225, Mar 1, 2008. Search in Google Scholar
A.A.B. Pritsker, L.J. Waiters and P.M. Wolfe, “Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach,” Management Science, vol. 16, (1), pp. 93–108, Sep 1, 1969. Search in Google Scholar
V. Valls, F. Ballestín and S. Quintanilla, “A hybrid genetic algorithm for the resource-constrained project scheduling problem,” European Journal of Operational Research, vol. 185, (2), pp. 495–508, Mar 1, 2008. Search in Google Scholar
G. Zhu, J.F. Bard and G. Yu, “A Branch-and-Cut Procedure for the Multimode Resource-Constrained Project-Scheduling Problem,” INFORMS Journal on Computing, vol. 18, (3), pp. 377–390, Jun 22, 2006. Search in Google Scholar
J.E. Gomar, C.T. Haas and D.P. Morton, “Assignment and Allocation Optimization of Partially Multiskilled Workforce,” Journal of Construction Engineering and Management, vol. 128, (2), pp. 103–109, Mar 1, 2002. Search in Google Scholar
M. Arashpour, R. Wakefield, N. Blismas and J. Minas, “Optimization of process integration and multi-skilled resource utilization in off-site construction,” Automation in Construction, vol. 50, pp. 72–80, Feb, 2015. Search in Google Scholar
A. Drexl and A. Kimms, “Optimization guided lower and upper bounds for the resource investment problem,” The Journal of the Operational Research Society, vol. 52, (3), pp. 340–351, Mar 1, 2001.Search in Google Scholar
G. Taguchi, Introduction to Quality Engineering: Designing Quality into Products and Processes. The Organization, 1986.Search in Google Scholar
R. Kolisch, A. Sprecher and A. Drexl, “Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems,” Management Science, vol. 41, (10), pp. 1693–1703, Oct 1, 1995. Search in Google Scholar
K. Hyari, M. El-Mashaleh and A. Kandil, “Optimal Assignment of Multiskilled Labor in Building Construction Projects,” International Journal of Construction Education and Research, vol. 6, (1), pp. 70–80, Mar 5, 2010. Search in Google Scholar
R.C. Burleson, C.T. Haas, R.L. Tucker and A. Stanley, “Multiskilled Labor Utilization Strategies in Construction,” Journal of Construction Engineering and Management, vol. 124, (6), pp. 480–489, Nov 1, 1998. Search in Google Scholar
>T. Hegazy, M. Said and M. Kassab, “Incorporating rework into construction schedule analysis,” Automation in Construction, vol. 20, (8), pp. 1051–1059, Dec 1, 2011. Search in Google Scholar
V. Valls, Á Pérez and S. Quintanilla, “Skilled workforce scheduling in Service Centres,” European Journal of Operational Research, vol. 193, (3), pp. 791–804, Mar 16, 2009. Search in Google Scholar
V. Jain and I.E. Grossmann, “Algorithms for Hybrid MILP/CP Models for a Class of Optimization Problems,” INFORMS Journal on Computing, vol. 13, (4), pp. 258–276, 2001.Search in Google Scholar
R. Klein, “Bidirectional planning: Improving priority rule-based heuristics for scheduling resource-constrained projects,” Eur. J. Oper. Res., vol. 127, (3), pp. 619–638, 2000.Search in Google Scholar
F.F. Boctor, “Resource-constrained project scheduling by simulated annealing,” International Journal of Production Research, vol. 34, (8), pp. 2335–2351, Aug 1, 1996. Search in Google Scholar
H. ALwaer and D.J. Clements-Croome, “Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings,” Building and Environment, vol. 45, (4), pp. 799–807, Apr 1, 2010. Search in Google Scholar
K. El-Rayes and O. Moselhi, “Optimizing Resource Utilization for Repetitive Construction Projects,” Journal of Construction Engineering and Management, vol. 127, (1), pp. 18–27, Jan 1, 2001. Search in Google Scholar
A. Sigrún, A. Hayriye and D.G. Douglas, “Design principles for flexible systems. Production and Operations Management,” 2013. Search in Google Scholar
J.N. Hooker, “Logic, Optimization, and Constraint Programming,” INFORMS Journal on Computing, vol. 14, (4), pp. 295–321, Sep 22, 2002. Search in Google Scholar
G. Fernández-Sánchez and F. Rodríguez-López, “A methodology to identify sustainability indicators in construction project management – Application to infrastructure projects in Spain,” Ecological Indicators, vol. 10, (6), pp. 1193–1201, Nov 1, 2010. Search in Google Scholar
M. Arashpour, M. Shabanikia and M. Arashpour, “Valuing the contribution of knowledge-oriented workers to projects: A merit based approach in the construction industry,” Australasian Journal of Construction Economics and Building, vol. 12, (4), pp. 1–12, Jan 1, 2012. Search in Google Scholar
P. Jaśkowski and A. Sobotka, “Scheduling Construction Projects Using Evolutionary Algorithm,” Journal of Construction Engineering and Management, vol. 132, (8), pp. 861–870, Aug 1, 2006. Search in Google Scholar
