Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0Citation formats

Standard

Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0. / Ramzan, Asia; Cisneros Cabrera, Sonia; Kazantsev, Nikolai; Sampaio, Pedro; Mehandjiev, Nikolay.

2017. Abstract from American Conference on Information Systems 2017: International Workshop on Smart Manufacturing
, Boston, United States.

Research output: Contribution to conferenceAbstractpeer-review

Harvard

Ramzan, A, Cisneros Cabrera, S, Kazantsev, N, Sampaio, P & Mehandjiev, N 2017, 'Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0', American Conference on Information Systems 2017: International Workshop on Smart Manufacturing
, Boston, United States, 10/08/17 - 12/08/18. <http://aisel.aisnet.org/sigbd2017/10>

APA

Ramzan, A., Cisneros Cabrera, S., Kazantsev, N., Sampaio, P., & Mehandjiev, N. (2017). Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0. Abstract from American Conference on Information Systems 2017: International Workshop on Smart Manufacturing
, Boston, United States. http://aisel.aisnet.org/sigbd2017/10

Vancouver

Ramzan A, Cisneros Cabrera S, Kazantsev N, Sampaio P, Mehandjiev N. Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0. 2017. Abstract from American Conference on Information Systems 2017: International Workshop on Smart Manufacturing
, Boston, United States.

Author

Ramzan, Asia ; Cisneros Cabrera, Sonia ; Kazantsev, Nikolai ; Sampaio, Pedro ; Mehandjiev, Nikolay. / Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0. Abstract from American Conference on Information Systems 2017: International Workshop on Smart Manufacturing
, Boston, United States.

Bibtex

@conference{a6b5bd528552472fa289c780f0499ecb,
title = "Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0",
abstract = "Working in a virtual environment with several dispersed teams becomes an essential part of supply chains, especially for the automotive and aerospace being those industries requiring hundreds of different services and parts manufacturing and assembly. In such scenarios, collaborative technologies support the creation of virtual environments where dispersed teams can jointly respond to business opportunities, and time, cost and travel expenses are reduced. In Industry 4.0, where Information and Communication Technologies (ICT) merge with physical processes, collaborative networks might require additional functionalities. We aim to present an analysis on state-of-the-art tools, technologies and platforms towards assessing its utility for Industry 4.0 in the context of the European Commission Horizon 2020 (EU H2020) programme promoting smart collaborative supply chain systems research. As a first overview, we have identified that it seems to be a lack of a common definition of collaborative technologies and tools, where the concept, applications and characteristics of those is unclear among both industrial and academic fronts. Thus, to present a clear concept of collaborative technologies, this research proposes ontology to represent the formal structure of taxonomy to analyse and classify the collaborative technologies in appropriate categories. This formal structure is also intended to be used later to aid a gap analysis of collaborative technologies, assessing their support and readiness towards Industry 4.0 collaborative networks. The ontology developed is built upon the results of a systematic literature review aimed at finding the definition of collaborative technologies, its features and applications. The systematic review was conducted on extracting relevant articles from the journals proposed by the Association of Information System (AIS) basket of eight.",
author = "Asia Ramzan and {Cisneros Cabrera}, Sonia and Nikolai Kazantsev and Pedro Sampaio and Nikolay Mehandjiev",
year = "2017",
month = sep,
language = "English",
note = "American Conference on Information Systems 2017: International Workshop on Smart Manufacturing<br/> : Business Meeting on Big Data Application in Manufacturing, AMCIS - SIG BDA ; Conference date: 10-08-2017 Through 12-08-2018",
url = "https://archives.aisconferences.org/amcis2017/",

}

RIS

TY - CONF

T1 - Collaborative Technologies in Automotive and Aerospace Industries towards Industry 4.0

AU - Ramzan, Asia

AU - Cisneros Cabrera, Sonia

AU - Kazantsev, Nikolai

AU - Sampaio, Pedro

AU - Mehandjiev, Nikolay

PY - 2017/9

Y1 - 2017/9

N2 - Working in a virtual environment with several dispersed teams becomes an essential part of supply chains, especially for the automotive and aerospace being those industries requiring hundreds of different services and parts manufacturing and assembly. In such scenarios, collaborative technologies support the creation of virtual environments where dispersed teams can jointly respond to business opportunities, and time, cost and travel expenses are reduced. In Industry 4.0, where Information and Communication Technologies (ICT) merge with physical processes, collaborative networks might require additional functionalities. We aim to present an analysis on state-of-the-art tools, technologies and platforms towards assessing its utility for Industry 4.0 in the context of the European Commission Horizon 2020 (EU H2020) programme promoting smart collaborative supply chain systems research. As a first overview, we have identified that it seems to be a lack of a common definition of collaborative technologies and tools, where the concept, applications and characteristics of those is unclear among both industrial and academic fronts. Thus, to present a clear concept of collaborative technologies, this research proposes ontology to represent the formal structure of taxonomy to analyse and classify the collaborative technologies in appropriate categories. This formal structure is also intended to be used later to aid a gap analysis of collaborative technologies, assessing their support and readiness towards Industry 4.0 collaborative networks. The ontology developed is built upon the results of a systematic literature review aimed at finding the definition of collaborative technologies, its features and applications. The systematic review was conducted on extracting relevant articles from the journals proposed by the Association of Information System (AIS) basket of eight.

AB - Working in a virtual environment with several dispersed teams becomes an essential part of supply chains, especially for the automotive and aerospace being those industries requiring hundreds of different services and parts manufacturing and assembly. In such scenarios, collaborative technologies support the creation of virtual environments where dispersed teams can jointly respond to business opportunities, and time, cost and travel expenses are reduced. In Industry 4.0, where Information and Communication Technologies (ICT) merge with physical processes, collaborative networks might require additional functionalities. We aim to present an analysis on state-of-the-art tools, technologies and platforms towards assessing its utility for Industry 4.0 in the context of the European Commission Horizon 2020 (EU H2020) programme promoting smart collaborative supply chain systems research. As a first overview, we have identified that it seems to be a lack of a common definition of collaborative technologies and tools, where the concept, applications and characteristics of those is unclear among both industrial and academic fronts. Thus, to present a clear concept of collaborative technologies, this research proposes ontology to represent the formal structure of taxonomy to analyse and classify the collaborative technologies in appropriate categories. This formal structure is also intended to be used later to aid a gap analysis of collaborative technologies, assessing their support and readiness towards Industry 4.0 collaborative networks. The ontology developed is built upon the results of a systematic literature review aimed at finding the definition of collaborative technologies, its features and applications. The systematic review was conducted on extracting relevant articles from the journals proposed by the Association of Information System (AIS) basket of eight.

M3 - Abstract

T2 - American Conference on Information Systems 2017: International Workshop on Smart Manufacturing<br/>

Y2 - 10 August 2017 through 12 August 2018

ER -