loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ville Toivonen ; Eeva Järvenpää and Minna Lanz

Affiliation: Tampere University of Technology, Finland

Keyword(s): Intelligent Work Order, Decentralised Production Systems, Process Configuration, Information Management.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; Communication, Collaboration and Information Sharing ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Progress of Industrial Internet of Things is rapidly increasing the amount of data collected from manufacturing operations. This data can be utilized to control and improve production systems in various ways. Production control systems play a key role in realizing the potential cost savings and productivity increase. Companies are required to manage increasing complexity while shortening response times to changes. A concept of Intelligent Work Order (IWO) is proposed to assist in these challenges. It supports local or distributed decision-making, and decreases integration complexity between different factory IT-systems. IWOs also increase information visibility at the shop floor. The IWO structure and functionality are described with a discussion of the benefits of the approach.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.219.236.62

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Toivonen, V.; Järvenpää, E. and Lanz, M. (2017). Managing Production Complexity with Intelligent Work Orders. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KMIS; ISBN 978-989-758-273-8; ISSN 2184-3228, SciTePress, pages 189-196. DOI: 10.5220/0006507801890196

@conference{kmis17,
author={Ville Toivonen. and Eeva Järvenpää. and Minna Lanz.},
title={Managing Production Complexity with Intelligent Work Orders},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KMIS},
year={2017},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006507801890196},
isbn={978-989-758-273-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KMIS
TI - Managing Production Complexity with Intelligent Work Orders
SN - 978-989-758-273-8
IS - 2184-3228
AU - Toivonen, V.
AU - Järvenpää, E.
AU - Lanz, M.
PY - 2017
SP - 189
EP - 196
DO - 10.5220/0006507801890196
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic