Tampere University of Technology

TUTCRIS Research Portal

An approach for integrating legacy systems in the manufacturing industry

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

An approach for integrating legacy systems in the manufacturing industry. / Govindarajan, Naveen; Ramis Ferrer, Borja; Xu, Xiangbin; Nieto, Angelica; Martinez Lastra, José L.

2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. p. 683-688.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Govindarajan, N, Ramis Ferrer, B, Xu, X, Nieto, A & Martinez Lastra, JL 2016, An approach for integrating legacy systems in the manufacturing industry. in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, pp. 683-688, IEEE International Conference on Industrial Informatics, 1/01/00. https://doi.org/10.1109/INDIN.2016.7819247

APA

Govindarajan, N., Ramis Ferrer, B., Xu, X., Nieto, A., & Martinez Lastra, J. L. (2016). An approach for integrating legacy systems in the manufacturing industry. In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) (pp. 683-688). IEEE. https://doi.org/10.1109/INDIN.2016.7819247

Vancouver

Govindarajan N, Ramis Ferrer B, Xu X, Nieto A, Martinez Lastra JL. An approach for integrating legacy systems in the manufacturing industry. In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE. 2016. p. 683-688 https://doi.org/10.1109/INDIN.2016.7819247

Author

Govindarajan, Naveen ; Ramis Ferrer, Borja ; Xu, Xiangbin ; Nieto, Angelica ; Martinez Lastra, José L. / An approach for integrating legacy systems in the manufacturing industry. 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. pp. 683-688

Bibtex - Download

@inproceedings{78c38b7eb8c74772b49bd08477acadca,
title = "An approach for integrating legacy systems in the manufacturing industry",
abstract = "The objective of the Cloud Collaborative Manufacturing Networks (C2NET) project is the development of a cloud-based platform that will allow an efficient collaboration and optimization of supply chain processes. One of the main components of the C2NET platform is the Data Collection Framework (DCF) and the Data Collection Client (DCC), which must provide a reliable solution for receiving data from heterogeneous data sources. Moreover, incoming data must be transformed in a way that can be presented in the required format to be handled by optimizer and collaboration tools that reside in the C2NET platform. This research work focuses on the collection of data from different legacy systems. Then, this article presents an approach that may be employed by C2NET to permit the DCC to receive, interpret and transform data. Presented approach uses the PLANTCockpit OS solution, which principles and functionality are also included in the manuscript.",
keywords = "Aging, Manufacturing, Manufacturing industries, Organizations, Standards",
author = "Naveen Govindarajan and {Ramis Ferrer}, Borja and Xiangbin Xu and Angelica Nieto and {Martinez Lastra}, {Jos{\'e} L.}",
year = "2016",
month = "7",
doi = "10.1109/INDIN.2016.7819247",
language = "English",
isbn = "978-1-5090-2871-9",
publisher = "IEEE",
pages = "683--688",
booktitle = "2016 IEEE 14th International Conference on Industrial Informatics (INDIN)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - An approach for integrating legacy systems in the manufacturing industry

AU - Govindarajan, Naveen

AU - Ramis Ferrer, Borja

AU - Xu, Xiangbin

AU - Nieto, Angelica

AU - Martinez Lastra, José L.

PY - 2016/7

Y1 - 2016/7

N2 - The objective of the Cloud Collaborative Manufacturing Networks (C2NET) project is the development of a cloud-based platform that will allow an efficient collaboration and optimization of supply chain processes. One of the main components of the C2NET platform is the Data Collection Framework (DCF) and the Data Collection Client (DCC), which must provide a reliable solution for receiving data from heterogeneous data sources. Moreover, incoming data must be transformed in a way that can be presented in the required format to be handled by optimizer and collaboration tools that reside in the C2NET platform. This research work focuses on the collection of data from different legacy systems. Then, this article presents an approach that may be employed by C2NET to permit the DCC to receive, interpret and transform data. Presented approach uses the PLANTCockpit OS solution, which principles and functionality are also included in the manuscript.

AB - The objective of the Cloud Collaborative Manufacturing Networks (C2NET) project is the development of a cloud-based platform that will allow an efficient collaboration and optimization of supply chain processes. One of the main components of the C2NET platform is the Data Collection Framework (DCF) and the Data Collection Client (DCC), which must provide a reliable solution for receiving data from heterogeneous data sources. Moreover, incoming data must be transformed in a way that can be presented in the required format to be handled by optimizer and collaboration tools that reside in the C2NET platform. This research work focuses on the collection of data from different legacy systems. Then, this article presents an approach that may be employed by C2NET to permit the DCC to receive, interpret and transform data. Presented approach uses the PLANTCockpit OS solution, which principles and functionality are also included in the manuscript.

KW - Aging

KW - Manufacturing

KW - Manufacturing industries

KW - Organizations

KW - Standards

U2 - 10.1109/INDIN.2016.7819247

DO - 10.1109/INDIN.2016.7819247

M3 - Conference contribution

SN - 978-1-5090-2871-9

SP - 683

EP - 688

BT - 2016 IEEE 14th International Conference on Industrial Informatics (INDIN)

PB - IEEE

ER -