{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:11:57Z","timestamp":1742919117773,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031079689"},{"type":"electronic","value":"9783031079696"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07969-6_38","type":"book-chapter","created":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T22:02:29Z","timestamp":1656799349000},"page":"501-514","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Retirement Supply Chain Improvement Using L-SCOR"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5973-7731","authenticated-orcid":false,"given":"Houda","family":"Mezouar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1921-4431","authenticated-orcid":false,"given":"Abdellatif","family":"El Afia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,3]]},"reference":[{"unstructured":"Mezouar, H., El Afia, A.: Proposal of an approach to improve business processes of a service supply chain. Int. J. Mech. Eng. Technol. (IJMET) 10(03), 978\u2013989 (2019). http:\/\/www.iaeme.com\/ijmet\/issues.asp?JType=IJMET&VType=10&IType=3","key":"38_CR1"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A.: A 4-level reference for self-adaptive processes based on SCOR and integrating Q-learnin. In: The 4th International Conference on Big Data and Internet of Things (BDIoT 2019), 23\u201324 October 2019. ACM, Tangier-Tetuan, Morocco (2019). https:\/\/doi.org\/10.1145\/3372938.3372953","key":"38_CR2","DOI":"10.1145\/3372938.3372953"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., EL Afia, A.: A process simulation model for a proposed Moroccan supply chain of electricity. In: International Renewable and Sustainable Energy Conference (IRSEC), 14\u201317 November 2016. IEEE, Marrakech, Morocco (2017). https:\/\/doi.org\/10.1109\/IRSEC.2016.7983999","key":"38_CR3","DOI":"10.1109\/IRSEC.2016.7983999"},{"doi-asserted-by":"publisher","unstructured":"El Afia, A., Mezouar, H.: A global mapping of the Moroccan supply chain of hospital drugs and a simulation of the dispensation process. In: The 2nd International Conference on Big Data, Cloud and Applications (BDCA 2017), 29\u201330 March 2017. ACM, Tetouan, Morocco (2017). https:\/\/doi.org\/10.1145\/3090354.3090465","key":"38_CR4","DOI":"10.1145\/3090354.3090465"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A., Chiheb, R., Ouzayd, F.: Proposal of a modeling approach and a set of KPI to the drug supply chain within the hospital. In: The 3rd International Conference on Logistics Operations Management (GOL), 23\u201325 May 2016. IEEE, Fez, Morocco (2016). https:\/\/doi.org\/10.1109\/GOL.2016.7731691","key":"38_CR5","DOI":"10.1109\/GOL.2016.7731691"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A., Chiheb, R.: A new concept of intelligence in the electric power management. In: The 2nd International Conference on Electrical and Information Technologies (ICEIT 16), 4\u20137 May 2016. IEEE, Tangier, Morocco (2016). https:\/\/doi.org\/10.1109\/EITech.2016.7519596","key":"38_CR6","DOI":"10.1109\/EITech.2016.7519596"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A., Chiheb, R., Ouzayd, F.: Toward a process model of Moroccan electric supply chain. In: The International Conference on Electrical and Information Technologies (ICEIT 15), 25\u201327 March 2015. IEEE, Marrakech, Morocco (2015). https:\/\/doi.org\/10.1109\/EITech.2015.7162990","key":"38_CR7","DOI":"10.1109\/EITech.2015.7162990"},{"doi-asserted-by":"publisher","unstructured":"Bouzbita, S., El Afia, A., Faizi, R.: A novel based Hidden Markov model approach for controlling the ACS-TSP evaporation parameter. In: International Conference on Multimedia Computing and Systems -Proceedings, pp. 633\u2013638 (2017). https:\/\/doi.org\/10.1109\/ICMCS.2016.7905544","key":"38_CR8","DOI":"10.1109\/ICMCS.2016.7905544"},{"doi-asserted-by":"publisher","unstructured":"El Afia, A., Bouzbita, S., Faizi, R.: The effect of updating the local pheromone on ACS performance using fuzzy logic. Int. J. Electr. Comput. Eng. 7(4), 2161\u20132168 (2017). https:\/\/doi.org\/10.11591\/ijece.v7i4.pp2161-2168","key":"38_CR9","DOI":"10.11591\/ijece.v7i4.pp2161-2168"},{"doi-asserted-by":"publisher","unstructured":"Kabbaj, M.M., El Afia, A.: Towards learning integral strategy of branch and bound. In: International Conference on Multimedia Computing and Systems -Proceedings, pp. 621\u2013626 (2017). https:\/\/doi.org\/10.1109\/ICMCS.2016.7905626","key":"38_CR10","DOI":"10.1109\/ICMCS.2016.7905626"},{"doi-asserted-by":"publisher","unstructured":"Lalaoui, M., El Afia, A., Chiheb, R.: Hidden Markov model for a self-learning of simulated annealing cooling law. In: International Conference on Multimedia Computing and Systems -Proceedings, pp. 558\u2013563 (2017). https:\/\/doi.org\/10.1109\/ICMCS.2016.7905557","key":"38_CR11","DOI":"10.1109\/ICMCS.2016.7905557"},{"doi-asserted-by":"publisher","unstructured":"Lalaoui, M., El Afia, A., Chiheb, R.: A self-adaptive very fast simulated annealing based on Hidden Markov model. In: Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017, January 2018, pp. 1\u20138 (2018). https:\/\/doi.org\/10.1109\/CloudTech.2017.8284698","key":"38_CR12","DOI":"10.1109\/CloudTech.2017.8284698"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A.: Proposal for an approach to evaluate continuity in service supply chains: case of the Moroccan electricity supply chain. Int. J. Electr. Comput. Eng. (IJECE) 9(6), 5552\u20135559 (2019). https:\/\/doi.org\/10.11591\/ijece.v9i6.pp5552-5559","key":"38_CR13","DOI":"10.11591\/ijece.v9i6.pp5552-5559"},{"key":"38_CR14","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/978-3-319-69137-4_11","volume-title":"Advanced Information Technology, Services and Systems","author":"H Mezouar","year":"2018","unstructured":"Mezouar, H., El Afia, A.: A retirement pension from a supply chain side: case of the moroccan retirement pension. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds.) AIT2S 2017. LNNS, vol. 25, pp. 103\u2013115. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-69137-4_11"},{"doi-asserted-by":"publisher","unstructured":"Mezouar, H., El Afia, A.: Performance analysis model for service supply chains: case of the retirement supply chain. Int. J. Eng. Technol. (IJET) 7(3), 1429\u20131438 (2018). https:\/\/doi.org\/10.14419\/ijet.v7i3.13929","key":"38_CR15","DOI":"10.14419\/ijet.v7i3.13929"},{"key":"38_CR16","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1023\/A:1022676722315","volume":"8","author":"CJ Watkins","year":"1992","unstructured":"Watkins, C.J., Dayan, P.: Technical note: Q-learning. Mach. Learn. 8, 279\u2013292 (1992). https:\/\/doi.org\/10.1023\/A:1022676722315","journal-title":"Mach. Learn."},{"key":"38_CR17","doi-asserted-by":"publisher","first-page":"122551","DOI":"10.1016\/j.physa.2019.122551","volume":"536","author":"H Ding","year":"2019","unstructured":"Ding, H., Zhang, G., Wang, S., Li, J., Wang, Z.: Q-learning boosts the evolution of cooperation in structured population by involving extortion. Pysica A 536, 122551 (2019). https:\/\/doi.org\/10.1016\/j.physa.2019.122551","journal-title":"Pysica A"},{"doi-asserted-by":"publisher","unstructured":"Tong, Z., Chen, H., Deng, X., Li, K., Li, K.: A scheduling scheme in the cloud computing environment using deep Q-learning. Inf. Sci. 512, 1170\u20131191 https:\/\/doi.org\/10.1016\/j.ins.2019.10.035.LNCS. Accessed 21 Nov 2016","key":"38_CR18","DOI":"10.1016\/j.ins.2019.10.035.LNCS"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of the 5th International Conference on Big Data and Internet of Things"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07969-6_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T22:07:46Z","timestamp":1656799666000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07969-6_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031079689","9783031079696"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07969-6_38","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"3 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDIoT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference On Big Data and Internet of Things","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mohammed V University in Rabat","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 March 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bdiot2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.amers.org\/bdiot21\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}