Document
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ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
type: Document
publication venue for: Towards a digital twin for cloud manufacturing-case study
type: Continuant
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type: Book
type: Generically Dependent Continuant
type: Thing
type: Proceedings
type: Information Content Entity

Continuant
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RDF description of Towards a digital twin for cloud manufacturing-case study - http://orbis.uaslp.mx/vivo/individual/scopus7945
rights: termsOfUse
date: 2026-08-26T06:30:47
publisher: vivo
type: Document

Towards a digital twin for cloud manufacturing-case study
type: Conference Paper
most specific type: Document
crisid: 7946
related by: authorship_50955
EI dscopus: 2-s2.0-85060398022
type: Information Content Entity
most specific type: Conference Paper
type: Document
type: Thing
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volume: 2
related by: authorship_50957
related by: authorship_50954
date time value: conference paper date 7946
type: Article
type: Continuant
related by: authorship_50956
abstract: Cloud manufacturing (CMfg) is a new manufacturing paradigm designed to enable manufacturing enterprise to share their resources and capabilities. Prior to any real-life change in the system, for CMfg it is important to anticipate and optimize the response of the system through simulation. Digital Twins (DT) is a simulation method for this paradigm that is different from existing simulation methods in two ways. It is a virtual copy of the system containing all the components and can connect to the controller in real time. The goal of this work is to develop a DT for an educational manufacturing cell. The educational manufacturing cell is a FESTO Reconfigurable Mechatronics System (RMS). The cell has four stations that uses pallets to transport the product on the conveyor belt and assembles a part of the product. The Siemens Process Simulate: TECNOMATIX, was used to create the DT of the system. The system is modeled in a CAD program and then imported into TECNOMATIX Process Simulate, where it is programmed to replicate the processes. Copyright © 2018 ASME
estado: published
freetext keyword: Cloud Manufacturing; Digital Twins; Industry 4.0; IOT Belt conveyors; Computer aided manufacturing; Flexible manufacturing systems; Industry 4.0; Cloud Manufacturing; Cloud manufacturing (CMfg); Digital Twins; Manufacturing enterprise; Manufacturing paradigm; Mechatronics systems; Resources and capabilities; Siemens process; Computer aided design
doi: 10.1115/IMECE2018-87688
origen: scopus
has publication venue: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
type: Generically Dependent Continuant

Article
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Information Content Entity
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Conference Paper
type: Class