Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

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dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-12-29T10:38:00Z
dc.description.publisherscopeInternational
dc.identifierEC.00171
dc.identifier.urihttps://hdl.handle.net/20.500.14288/24221
dc.titleData-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains
dc.title.alternativeAUTO-TWIN
local.contributor.kuauthorKaraesmen, Fikri
local.project.contractnumber101092021
local.project.endDate11/28/25
local.project.startDate11/30/22
local.project.status1
local.project.systemstatusApproved. Transferred. Account assignment made.
local.project.templateEC.HE.GLOBCHAL.CL4
local.project.userstatusFunded
project.funder.identifierEC-HORIZON EUROPE
project.funder.nameEuropean Commission

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