Research Project:
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.departmentDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-12-29T10:38:00Z
dc.date.available2024-12-29
dc.description.publisherscopeInternational
dc.identifierEC.00171
dc.identifier.urihttps://hdl.handle.net/20.500.14288/24221
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Projects Collection
dc.relation.relatedpublicationsThe digital twin synchronization problem: framework, formulations, and analysis
dc.relation.relatedpublicationsGreen Gateways: a concept for decisions in Circular-Oriented Economies
dc.relation.relatedpublicationsPurchasing and remanufacturing decisions with different quality returned material and finished goods
dc.relation.relatedpublicationsOptimizing production and remanufacturing decisions for make-to-stock hybrid manufacturing systems using real-time information on products in use
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
dspace.entity.typeProject
local.contributor.kuauthorKaraesmen, Fikri
local.project.contractnumber101092021
local.project.endDate2025-11-28
local.project.startDate2022-11-30
local.project.templateEC.HE.GLOBCHAL.CL4
project.funder.identifierEC-HORIZON EUROPE
project.funder.nameEuropean Commission
project.investigatorKaraesmen, Fikri
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