1. Rasmussen, M. S., Justesen, T., Dohn, A. and Larsen, J. (2012). “The home care crew scheduling problem: Preference-based visit clustering and temporal dependencies”, European Journal of Operational Research, Vol. 219, No. 3, PP. 598- 610.
2. Allaoua, H., Borne, S., Létocart, L. and Calvo, R. W. (2013). “A metaheuristic approach for solving a home health care problem”, Electronic Notes in Discrete Mathematics, Vol. 41, PP. 471- 478.
3. Borsani, V., Matta, A., Beschi, G. and Sommaruga, F. (2006). “A home care scheduling model for human resources”, Service Systems and Service Management, International Conference on. IEEE, PP. 449- 454.
4. Benzarti, E., Sahin, E. and Dallery, Y. (2013). “Operations management applied to home care services: Analysis of the districting problem”, Decision Support Systems, Vol. 55, No. 2, PP. 587- 598.
5. Lanzarone, E. and Matta, A. (2014). “Robust nurse-to-patient assignment in home care services to minimize overtimes under continuity of care”, Operations Research for Health Care, Vol. 3, No. 2, PP. 48- 58.
6. Lanzarone, E. and Matta, A. (2012). “A cost assignment policy for home care patients”, Flexible Services and Manufacturing Journal, Vol. 24, No. 4, PP. 465- 495.
7. Denton, M., Brookman, C., Zeytinoglu, I., Plenderleith, J. and Barken, R. (2014). “Task shifting in the provision of home and social care in Ontario, Canada: Implications for quality of care”, Health & social care in the community, Vol. 23, No. 5, PP. 485-492.
8. Koeleman, P., Bhulai, S. and Van Meersbergen, M. (2012). “Optimal patient and personnel scheduling policies for care-at-home service facilities”, European Journal of Operational Research, Vol. 219, No. 3, PP. 557- 563.
9. Olivella, J., Corominas, A. and Pastor, R. (2013). “Task assignment considering cross-training goals and due dates”, International Journal of Production Research, Vol. 51, No. 3, PP. 952- 962.
10. Slomp, J., Bokhorst, J. A. and Molleman, E. (2005). “Cross-training in a cellular manufacturing environment”, Computers & Industrial Engineering, Vol. 48, No. 3, PP. 609- 624.
11. Slomp, J. and Molleman, E. (2002). “Cross-training policies and team performance”, International Journal of Production Research, Vol. 40, No. 5, PP. 1193- 1219.
12. Marentette, K. A., Johnson, A. W. and Mills, L. (2009). “A measure of cross-training benefit versus job skill specialization”, Computers & Industrial Engineering, Vol. 57, No. 3, PP. 937- 940.
13. Wilke, H. and Meertens, R. (1994). “Group performance”, International Series on Communication Skills.
14. Bokhorst, J. A. and Slomp, J. (2007). “Design and operation of a cross-trained workforce”, Workforce cross training, In: D. Nembhard (ed.), CRC Press, Taylor & Francis Group, Boca Raton, FL, PP. 3- 63.
15. Akjiratikarl, C., Yenradee, P. and Drake, P. R. (2007). “PSO-based algorithm for home care worker scheduling in the UK”, Computers & Industrial Engineering, Vol. 53, No. 4, PP. 559- 583.
16. Rabeh, R., Saïd, K. and Eric, M. (2011). “Collaborative model for planning and scheduling caregiver’s activities in homecare”, 18th IFAC World Congress, PP. 2877- 2882.
17. Mankowska, D. S., Meisel, F. and Bierwirth, C. (2014). “The home health care routing and scheduling problem with interdependent services”, Health Care Management Science, Vol. 17, No. 1, PP. 15- 30.
18. Duque, P. M., Castro, M., Sörensen, K. and Goos, P. (2014). “Home care service planning. The case of Landelijke Thuiszorg”, European Journal of Operational Research, Vol. 243, No. 1, PP. 292- 301.
19. Campbell, G. M. and Diaby, M. (2002). “Development and Evaluation of an Assignment Heuristic for Allocating Cross-trained Workers”, European Journal of Operational Research, Vol. 138, No. 1, PP. 9- 20.
20. Campbell, G. M. (2010). “A two-stage stochastic program for scheduling and allocating cross-trained workers”, Journal of the Operational Research Society, Vol. 62, No. 6, PP. 1038- 1047.
21. Bokhorst, J. A., Slomp, J. and Molleman, E. (2004). “Development and evaluation of cross-training policies for manufacturing teams”, Iie Transactions, Vol. 36, No. 10, PP. 969- 984.
22. Yue, H., Slomp, J., Molleman, E. and Van Der Zee, D. (2008). “Worker flexibility in a parallel dual resource constrained job shop”, International Journal of Production Research, Vol. 46, No. 2, PP. 451- 467.
23. Valls, V., Pérez, Á. and Quintanilla, S. (2009). “Skilled workforce scheduling in service centres”, European Journal of Operational Research, Vol. 193, No. 3, PP. 791- 804.
24. Easton, F. F. (2011). “Cross-training performance in flexible labor scheduling environments”, Iie Transactions, Vol. 43, No. 8, PP. 589- 603.
25. Li, Q., Gong, J., Fung, RY. and Tang, J. (2012). “Multi-objective optimal cross-training configuration models for an assembly cell using non-dominated sorting genetic algorithm-II”, International Journal of Computer Integrated Manufacturing, Vol. 25, No. 11, PP. 981- 995.
26. Liu, C., Yang, N., Li, W., Lian, J., Evans, S. and Yin, Y. (2013). “Training and assignment of multi-skilled workers for implementing seru production systems”, The International Journal of Advanced Manufacturing Technology, Vol. 69, No. 5-8, PP. 937- 959.
27. Xu, Z., Ming, X. G., Zheng, M., Li, M., He, L. and Song, W. (2015). “Cross-trained workers scheduling for field service using improved NSGA-II”, International Journal of Production Research, Vol. 53, No. 4, PP. 1255- 1272.
28. Mavrotas, G. (2009). “Effective implementation of the ε-constraint method in multi-objective mathematical programming problems”, Applied Mathematics and Computation, Vol. 213, No. 2, PP. 455- 465.
29. Rafiei, H. and Ghodsi, R. (2013). “A bi-objective mathematical model toward dynamic cell formation considering labor utilization”, Applied Mathematical Modelling, Vol. 37, No. 4, PP. 2308- 2316.