@article {Mezouar2022501,
	title = {The Retirement Supply Chain Improvement Using L-SCOR},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {501-514},
	abstract = {In order to design an adaptable business process, the SCOR model was extended to L-SCOR model integrating the concept of adaptability at the two sections {\textquotedblleft}Process{\textquotedblright} and {\textquotedblleft}Metrics{\textquotedblright}. This work represents a case study that gives the chance to apply L-SCOR on the retirement supply chain. This paper started by giving an overall overview about L-SCOR model then detailed the studied supply chain models at two levels of L-SCOR. The second level model expressed the flows between the planning processes and the business process sL3 {\textquotedblleft}Learn Make{\textquotedblright} that describes the management of adaptability for rights liquidation. The fourth level model explains how the recommendation web service will be used for this business process. The paper also detailed the prerequisites for the recommendation web service which implements the Q-Learning algorithm, and discussed the returning Q-table and the optimal strategy for the called activity. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_38},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135009603\&doi=10.1007\%2f978-3-031-07969-6_38\&partnerID=40\&md5=1b13ad88086e61020688b4e24661bd94},
	author = {Mezouar, H. and El Afia, A.}
}
