@conference {Maha2020,
	title = {The Two Phases Method for operating rooms planning and scheduling},
	booktitle = {2020 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2020},
	year = {2020},
	note = {cited By 2},
	abstract = {Over the last three or four decades, there have been numerous optimization problems in Healthcare which have been approached by researchers. Hospital logistics which must be organized and structured in order to secure patient satisfaction in terms of quality, quantity, time, security and least cost, forms part of the quest for global performance.According to the literature review, the problem of operating rooms planning and scheduling involves different conflicting objectives while considering constraints on availability of rooms, patients and doctors. In this paper, we proposed the Two Phases Method (TPM), which is a general technique that is likely to solve multi-objective combinatorial optimization (MOCO) problems.As it is known, TPM has never been applied to solve operating room planning and scheduling problem. In this paper, we developed the TPM to resolve the cited issue, while focusing on optimizing both total completion time and patients{\textquoteright} waiting time. {\textcopyright} 2020 IEEE.},
	keywords = {Combinatorial Optimization, Conflicting objectives, Constraint satisfaction problems, Decision making, Hospital logistics, Industrial management, Literature reviews, Multiobjective combinatorial optimization, Operating rooms, Optimization problems, Patient satisfaction, Planning and scheduling, Scheduling, Total completion time},
	doi = {10.1109/ICTMOD49425.2020.9380584},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103741668\&doi=10.1109\%2fICTMOD49425.2020.9380584\&partnerID=40\&md5=a5086170077f1fe352eb34de4e820aac},
	author = {Maha, T. and Achchab, S. and Omar, S.}
}
