@article {Mezouar2022492,
	title = {Toward a Self-adaptive Supply Chains: L-SCOR Implementation Proposal, and Case Studies Methodology Proposal},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {492-500},
	abstract = {In order to improve a business process behavior, to guarantee the service continuity, to minimalize the time wasted by automatic activities execution, L-SCOR is proposed to analyze the self-adaptability of a business process and to improve this performance. This paper gives an overall overview of the reference L-SCOR, and explains a proposal of its implementation based on reinforcement learning, and a methodology to conduct case studies based on six sigma strategies. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_37},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135026919\&doi=10.1007\%2f978-3-031-07969-6_37\&partnerID=40\&md5=436de2817ad5296badb2e8ccf1743814},
	author = {Mezouar, H. and El Afia, A.}
}
