Management Projects for Digital Ecosystems of Automotive Enterprises: Truck Sharing

dc.contributor.author	Bakhtadze N.
dc.contributor.author	Elpashev D.
dc.contributor.author	Suleykin A.
dc.contributor.author	Sabitov R.
dc.contributor.author	Smirnova G.
dc.contributor.author	Kuchinskii M.
dc.contributor.author	Sabitov S.
dc.date.accessioned	2022-02-09T20:42:22Z
dc.date.available	2022-02-09T20:42:22Z
dc.date.issued	2021
dc.identifier.issn	1868-4238
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/169708
dc.description.abstract	The paper offers an approach to the development of a truck sharing management system for a digital ecosystem, which comprises an automobile plant, auto parts suppliers, customers and service centers. The management is based on predictive associative search models. To improve the efficiency of the situational management based on situational awareness, quantum clustering algorithms are used.
dc.relation.ispartofseries	IFIP Advances in Information and Communication Technology
dc.subject	Associative search models
dc.subject	Knowledgebase
dc.subject	Nonlinear process
dc.subject	Quantum clustering
dc.title	Management Projects for Digital Ecosystems of Automotive Enterprises: Truck Sharing
dc.type	Conference Proceeding
dc.relation.ispartofseries-volume	630 IFIP
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	563
dc.source.id	SCOPUS18684238-2021-630-SID85115258206

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.