A. Alfieri, T. Tolio, and M. Urgo, A project scheduling approach to production planning with feeding precedence relations, International Journal of Production Research, vol.22, issue.4, pp.995-1020, 2010.
DOI : 10.1016/j.ejor.2007.03.032
URL : https://hal.archives-ouvertes.fr/hal-00576097

E. Attia, V. Dumbrava, and P. Duquenne, Factors affecting the development of workforce versatility, Information Control Problems in Manufacturing. 14th IFAC Symposium on Information Control Problems in Manufacturing, pp.1221-1226, 2012.
DOI : 10.3182/20120523-3-RO-2023.00164

E. Attia, P. Duquenne, and J. Le-lann, Decision-based Genetic Algorithms for Solving Multi-period Project Scheduling with Dynamically Experienced Workforce, 9th International Conference of Modeling, Optimization and Simulation ? MOSIM'12, pp.6-08, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00728560

E. Attia, P. Kouassi-hilaire-edi, and . Duquenne, Flexible resources allocation techniques: characteristics and modelling, International Journal of Operational Research, vol.14, issue.2, pp.221-254, 2012.
DOI : 10.1504/IJOR.2012.046649
URL : https://hal.archives-ouvertes.fr/hal-00829393

C. S. Azmat, T. Hürlimann, and M. Widmer, Mixed Integer Programming to Schedule a Single-Shift Workforce under Annualized Hours, Annals of Operations Research, vol.128, issue.1-4, pp.1-4, 2004.
DOI : 10.1023/B:ANOR.0000019105.54898.a4

O. Bellenguez-morineau and E. Néron, A Branch-and-Bound method for solving Multi-Skill Project Scheduling Problem, RAIRO - Operations Research, vol.80, issue.2, pp.155-170, 2007.
DOI : 10.1016/0377-2217(93)E0294-8
URL : https://hal.archives-ouvertes.fr/hal-01022106

P. Brucker and S. Knust, Complex Scheduling, 2012.
DOI : 10.1007/978-3-642-23929-8

A. Corominas and R. Pastor, Replanning working time under annualised working hours, International Journal of Production Research, vol.32, issue.5, pp.1493-1515, 2010.
DOI : 10.1057/palgrave.jors.2601860
URL : https://hal.archives-ouvertes.fr/hal-00547998

A. Corominas, A. Lusa, and R. Pastor, Using MILP to plan annualised working hours, Journal of the Operational Research Society, vol.53, issue.10, pp.1101-1108, 2002.
DOI : 10.1057/palgrave.jors.2601309

E. M. Dar-el, K. Ayas, and I. Gilad, Predicting performance times for long cycle time tasks, IIE Transactions, vol.3, issue.3, pp.272-281, 1995.
DOI : 10.1111/j.1540-5915.1979.tb00026.x

E. W. Davis, Project Network Summary Measures Constrained- Resource Scheduling, A I I E Transactions, vol.7, issue.2, pp.132-142, 1975.
DOI : 10.1080/05695557508974995

L. Davis, Handbook of Genetic Algorithms, 1996.

D. J. Davis, H. V. Kher, and B. J. Wagner, Influence of workload imbalances on the need for worker flexibility, Computers & Industrial Engineering, vol.57, issue.1, pp.319-329, 2009.
DOI : 10.1016/j.cie.2008.11.029

D. Jong and J. , THE EFFECTS OF INCREASING SKILL ON CYCLE TIME AND ITS CONSEQUENCES FOR TIME STANDARDS, Ergonomics, vol.3, issue.1, pp.51-60, 1957.
DOI : 10.2307/1928465

M. Démery-lebrun, Regard sur la flexibilité des ressources humaines: une approche exploratoire systémique de la flexibilité, appliquée aux entreprises aérospatiales [A Look on the Human Resources Flexibility: A Systemic Exploratory Approach of the Flexibility, Applied to the Aerospace Companies], pp.15-16, 2005.

L. Drezet and J. Billaut, A project scheduling problem with labour constraints and time-dependent activities requirements, International Journal of Production Economics, vol.112, issue.1, pp.217-225, 2008.
DOI : 10.1016/j.ijpe.2006.08.021
URL : https://hal.archives-ouvertes.fr/hal-01022175

P. Duquenne, H. K. Edi, L. Lann, and J. M. , Characterization and Modelling of Flexible Resources Allocation on Industrial Activities, 7th World Congress of Chemical Engineering, 2005.

H. K. Edi, Affectation flexible des ressources dans la planification des activités industrielles: prise en compte de la modulation d'horaires et de la polyvalence [Resources' Flexible Assignment in the Planning of Industrial Activities: Considering Modulation of Working Hours and Versatility], 2007.

G. Eitzen, D. Panton, and G. Mills, Multi-Skilled Workforce Optimisation, Annals of Operations Research, vol.127, issue.1-4, pp.1-4, 2004.
DOI : 10.1023/B:ANOR.0000019096.58882.54

L. Franchini, E. Caillaud, P. Nguyen, and G. Lacoste, Workload control of human resources to improve production management, International Journal of Production Research, vol.39, issue.7, pp.1385-1403, 2001.
DOI : 10.1080/00207540010022322
URL : https://hal.archives-ouvertes.fr/hal-01703124

M. Gen and R. Cheng, Genetic Algorithms and Engineering Optimization, 2000.
DOI : 10.1002/9780470172261

M. S. Gibbs, H. R. Maier, G. C. Dandy, and J. B. Nixon, Minimum Number of Generations Required for Convergence of Genetic Algorithms, 2006 IEEE International Conference on Evolutionary Computation, pp.565-572, 2006.
DOI : 10.1109/CEC.2006.1688360

S. Globerson, N. Levin, and A. Shtub, The Impact of Breaks on Forgetting When Performing A Repetitive Task, IIE Transactions, vol.10, issue.4, pp.376-381, 1989.
DOI : 10.1111/j.1540-5915.1979.tb00026.x

D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.

B. Grabot and A. Letouzey, Short-term manpower management in manufacturing systems: new requirements and DSS prototyping, Computers in Industry, vol.43, issue.1, pp.11-29, 2000.
DOI : 10.1016/S0166-3615(00)00058-0

W. J. Gutjahr, S. Katzensteiner, P. Reiter, C. Stummer, and M. Denk, Competence-driven project portfolio selection, scheduling and staff assignment, Central European Journal of Operations Research, vol.28, issue.3, pp.281-306, 2008.
DOI : 10.1007/978-3-662-03315-9
URL : http://homepage.univie.ac.at/walter.gutjahr/papers/CompProjPortSel_Rev1.pdf

P. Hansen and N. Mladenovi?, Variable Neighborhood Search, Handbook of Metaheuristics International Series in Operations Research & Management Science, pp.145-184, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00979295

C. Heimerl and R. Kolisch, Work assignment to and qualification of multi-skilled human resources under knowledge depreciation and company skill level targets, International Journal of Production Research, vol.3, issue.13, pp.3759-3781, 2010.
DOI : 10.1080/00207540500272519

A. Hertz, N. Lahrichi, and M. Widmer, A flexible MILP model for multiple-shift workforce planning under annualized hours, European Journal of Operational Research, vol.200, issue.3, pp.860-873, 2010.
DOI : 10.1016/j.ejor.2009.01.045

M. A. Hitt, B. W. Keats, and S. M. Demarie, Navigating in the new competitive landscape: Building strategic flexibility and competitive advantage in the 21st century., Academy of Management Perspectives, vol.12, issue.4, pp.22-42, 1993.
DOI : 10.5465/AME.1998.1333922

O. Hlaoittinun, Contribution à la constitution d'équipes de conception couplant la structuration du projet et le pilotage des compétences [Contribution to the Design Team Building Coupling the Project Organization and the Competency Development], 2009.

R. Hung, Scheduling a workforce under annualized hours, International Journal of Production Research, vol.37, issue.11, pp.2419-2427, 1999.
DOI : 10.1080/002075499190581

M. Y. Jaber and M. C. Bonney, Production breaks and the learning curve: The forgetting phenomenon, Applied Mathematical Modelling, vol.20, issue.2, pp.162-169, 1996.
DOI : 10.1016/0307-904X(95)00157-F

M. Y. Jaber, H. V. Kher, and D. J. Davis, Countering forgetting through training and deployment, International Journal of Production Economics, vol.85, issue.1, pp.33-46, 2003.
DOI : 10.1016/S0925-5273(03)00084-7

H. Kazemipoor, R. Tavakkoli-moghaddam, P. Shahnazari-shahrezaei, and A. Azaron, A differential evolution algorithm to solve multi-skilled project portfolio scheduling problems, The International Journal of Advanced Manufacturing Technology, vol.2, issue.1, pp.1099-1111, 2013.
DOI : 10.1287/ijoc.2.1.4

R. Kolisch and C. Heimerl, An efficient metaheuristic for integrated scheduling and staffing IT projects based on a generalized minimum cost flow network, Naval Research Logistics (NRL), vol.18, issue.2, pp.111-127, 2012.
DOI : 10.1287/ijoc.1040.0121

A. Konak, D. W. Coit, and A. E. Smith, Multi-objective optimization using genetic algorithms: A tutorial, Reliability Engineering & System Safety, vol.91, issue.9, pp.992-1007, 2006.
DOI : 10.1016/j.ress.2005.11.018

J. Lancaster and M. Ozbayrak, Evolutionary algorithms applied to project scheduling problems???a survey of the state-of-the-art, International Journal of Production Research, vol.28, issue.2, pp.425-450, 2007.
DOI : 10.1177/1063293X03032082

H. Li and K. Womer, Scheduling projects with multi-skilled personnel by a hybrid MILP/CP benders decomposition algorithm, Journal of Scheduling, vol.170, issue.6, pp.281-298, 2009.
DOI : 10.1007/978-3-662-22341-3

J. E. Mazur and R. Hastie, Learning as accumulation: A reexamination of the learning curve., Psychological Bulletin, vol.85, issue.6, pp.1256-1274, 1978.
DOI : 10.1037/0033-2909.85.6.1256

J. K. Mccreery and L. J. Krajewski, Improving performance using workforce flexibility in an assembly environment with learning and forgetting effects, International Journal of Production Research, vol.37, issue.9, pp.2031-2058, 1999.
DOI : 10.1080/002075499190897

J. J. Mendes, J. F. Gonçalves, and M. G. Resende, A random key based genetic algorithm for the resource constrained project scheduling problem, Computers & Operations Research, vol.36, issue.1, pp.92-109, 2009.
DOI : 10.1016/j.cor.2007.07.001

A. Munawar, M. Wahib, M. Munetomo, and K. Akama, Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. Learning and Intelligent Optimization, LNCS, vol.6683, pp.203-217, 2011.

D. A. Nembhard, Heuristic approach for assigning workers to tasks based on individual learning rates, International Journal of Production Research, vol.39, issue.9, pp.1955-1968, 2001.
DOI : 10.1080/00207540110036696

L. Perron, Planning and scheduling teams of skilled workers, Journal of Intelligent Manufacturing, vol.21, issue.1, pp.155-164, 2010.
DOI : 10.1111/j.1540-5915.1990.tb00322.x

. Psplib, PSPLIB: Library for Project Scheduling Problems, 1996.

S. Sayin and S. Karabati, Assigning cross-trained workers to departments: A two-stage optimization model to maximize utility and skill improvement, European Journal of Operational Research, vol.176, issue.3, pp.1643-1658, 2007.
DOI : 10.1016/j.ejor.2005.10.045

C. Schwindt, ProGen/max: A New Problem Generator for Different Resource-Constrained Project Scheduling Problems with Minimal and Maximal Time Lags, 1995.

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.205, issue.6, pp.9-12, 2013.
DOI : 10.1016/j.amc.2008.05.086

T. L. Smunt, Log-linear and non-log-linear learning curve models for production research and cost estimation, International Journal of Production Research, vol.37, issue.17, pp.3901-3911, 1999.
DOI : 10.1080/002075499189826

A. Thesen, Measures of the restrictiveness of project networks, Networks, vol.23, issue.3, pp.193-208, 1977.
DOI : 10.1002/net.3230070302

V. Valls, Á. Pérez, and S. Quintanilla, Skilled workforce scheduling in Service Centres, European Journal of Operational Research, vol.193, issue.3, pp.791-804, 2009.
DOI : 10.1016/j.ejor.2007.11.008

E. Vidal, Stratégie de planification pour la flexibilité opérationnelle d'un atelier à cheminement unique [Planning Strategy for the Operational Flexibility of Flow Shop], 2000.

T. Wright, Factors Affecting the Cost of Airplanes, Journal of the Aeronautical Sciences, vol.3, issue.4, pp.122-128, 1936.
DOI : 10.2514/8.155

M. Wu and S. Sun, A project scheduling and staff assignment model considering learning effect, The International Journal of Advanced Manufacturing Technology, vol.28, issue.11-12, pp.11-12, 2006.
DOI : 10.1007/s00170-004-2465-0

K. K. Yang, A comparison of cross-training policies in different job shops, International Journal of Production Research, vol.45, issue.6, pp.1279-1295, 2007.
DOI : 10.1080/07408178908966233

S. Yang, Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems, Applications of Evolutionary Computing, pp.627-636, 2007.
DOI : 10.1007/978-3-540-71805-5_69

V. Yannibelli and A. Amandi, A Memetic Approach to Project Scheduling that Maximizes the Effectiveness of the Human Resources Assigned to Project Activities, In Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, pp.159-173, 2012.
DOI : 10.1007/978-3-642-28942-2_15

M. Yoshimura, Y. Fujimi, K. Izui, and S. Nishiwaki, Decision-making support system for human resource allocation in product development projects, International Journal of Production Research, vol.10, issue.5, pp.831-848, 2006.
DOI : 10.1177/1063293X02010002053