Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines

Dragan Stokic; Rui Neves-Silva; Maria Marques; Philip Reimer; Jon Agirre Ibarbia

doi:10.1109/INDIN.2007.4384901

Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines

Dragan Stokic^*
, Rui Neves-Silva
, Maria Marques
, Philip Reimer
, Jon Agirre Ibarbia

^*Corresponding author for this work

General

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

The key idea of the work presented is to explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of Manufacturing and Assembly Lines (MAL) and their infrastructure over their life-cycle. The specific intention is to reduce the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters (LCP) of MAL and improved services to support MAL throughout its whole life-cycle. The paper presents a new system for effective life cycle management of complex MAL, including computation of LCP based on information obtained from AmI systems within MAL, and delivery of improved services around MAL.

Original language	English
Title of host publication	INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1197-1202
Number of pages	6
ISBN (Print)	1424408644, 9781424408641
DOIs	https://doi.org/10.1109/INDIN.2007.4384901
Publication status	Published - 2007
Event	INDIN 2007 - 5th IEEE International Conference on Industrial Informatics - Vienna, Austria Duration: 23 Jun 2007 → 27 Jun 2007

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2
ISSN (Print)	1935-4576

Conference

Conference	INDIN 2007 - 5th IEEE International Conference on Industrial Informatics
Country/Territory	Austria
City	Vienna
Period	23/06/07 → 27/06/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/INDIN.2007.4384901

Cite this

Stokic, D., Neves-Silva, R., Marques, M., Reimer, P., & Ibarbia, J. A. (2007). Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines. In INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics (pp. 1197-1202). Article 4384901 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN.2007.4384901

Stokic, Dragan ; Neves-Silva, Rui ; Marques, Maria et al. / Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines. INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics. Institute of Electrical and Electronics Engineers Inc., 2007. pp. 1197-1202 (IEEE International Conference on Industrial Informatics (INDIN)).

@inproceedings{954d7bfb15634cce912b6f4fddb77184,

title = "Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines",

abstract = "The key idea of the work presented is to explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of Manufacturing and Assembly Lines (MAL) and their infrastructure over their life-cycle. The specific intention is to reduce the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters (LCP) of MAL and improved services to support MAL throughout its whole life-cycle. The paper presents a new system for effective life cycle management of complex MAL, including computation of LCP based on information obtained from AmI systems within MAL, and delivery of improved services around MAL.",

author = "Dragan Stokic and Rui Neves-Silva and Maria Marques and Philip Reimer and Ibarbia, \{Jon Agirre\}",

year = "2007",

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language = "English",

isbn = "1424408644",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

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address = "United States",

note = "INDIN 2007 - 5th IEEE International Conference on Industrial Informatics ; Conference date: 23-06-2007 Through 27-06-2007",

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Stokic, D, Neves-Silva, R, Marques, M, Reimer, P & Ibarbia, JA 2007, Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines. in INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics., 4384901, IEEE International Conference on Industrial Informatics (INDIN), vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 1197-1202, INDIN 2007 - 5th IEEE International Conference on Industrial Informatics, Vienna, Austria, 23/06/07. https://doi.org/10.1109/INDIN.2007.4384901

Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines. / Stokic, Dragan; Neves-Silva, Rui; Marques, Maria et al.
INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics. Institute of Electrical and Electronics Engineers Inc., 2007. p. 1197-1202 4384901 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines

AU - Stokic, Dragan

AU - Neves-Silva, Rui

AU - Marques, Maria

AU - Reimer, Philip

AU - Ibarbia, Jon Agirre

PY - 2007

Y1 - 2007

N2 - The key idea of the work presented is to explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of Manufacturing and Assembly Lines (MAL) and their infrastructure over their life-cycle. The specific intention is to reduce the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters (LCP) of MAL and improved services to support MAL throughout its whole life-cycle. The paper presents a new system for effective life cycle management of complex MAL, including computation of LCP based on information obtained from AmI systems within MAL, and delivery of improved services around MAL.

AB - The key idea of the work presented is to explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of Manufacturing and Assembly Lines (MAL) and their infrastructure over their life-cycle. The specific intention is to reduce the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters (LCP) of MAL and improved services to support MAL throughout its whole life-cycle. The paper presents a new system for effective life cycle management of complex MAL, including computation of LCP based on information obtained from AmI systems within MAL, and delivery of improved services around MAL.

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U2 - 10.1109/INDIN.2007.4384901

DO - 10.1109/INDIN.2007.4384901

M3 - Conference contribution

AN - SCOPUS:39749141552

SN - 1424408644

SN - 9781424408641

T3 - IEEE International Conference on Industrial Informatics (INDIN)

SP - 1197

EP - 1202

BT - INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - INDIN 2007 - 5th IEEE International Conference on Industrial Informatics

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ER -

Stokic D, Neves-Silva R, Marques M, Reimer P, Ibarbia JA. Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines. In INDIN 2007 Conference Proceedings - 5th IEEE International Conference on Industrial Informatics. Institute of Electrical and Electronics Engineers Inc. 2007. p. 1197-1202. 4384901. (IEEE International Conference on Industrial Informatics (INDIN)). doi: 10.1109/INDIN.2007.4384901

Ambient intelligence based system for life-cycle management of complex manufacturing and assembly lines

Abstract

Publication series

Conference

UN SDGs

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