Managing Production Complexity with Intelligent Work Orders

Ville Toivonen; Eeva Järvenpää; Minna Lanz

doi:10.5220/0006507801890196

Managing Production Complexity with Intelligent Work Orders

Ville Toivonen, Eeva Järvenpää, Minna Lanz

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
Julkaisupaikka	Funchal, Madeira, Portugal
Sivut	189-196
Sivumäärä	8
Vuosikerta	3
ISBN (elektroninen)	978-989-758-273-8
DOI - pysyväislinkit	https://doi.org/10.5220/0006507801890196
Tila	Julkaistu - marrask. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Knowledge Management and Information Sharing - Kesto: 1 tammik. 1900 → …

Conference

Conference	International Conference on Knowledge Management and Information Sharing
Ajanjakso	1/01/00 → …

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.5220/0006507801890196

Siteeraa tätä

@inproceedings{032608ce841f4f569b9058285aa28470,

title = "Managing Production Complexity with Intelligent Work Orders",

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.",

keywords = " Intelligent Work Order, Decentralised Production Systems, Process Configuration, Information Management",

author = "Ville Toivonen and Eeva J{\"a}rvenp{\"a}{\"a} and Minna Lanz",

note = "JUFOID=73527; International Conference on Knowledge Management and Information Sharing ; Conference date: 01-01-1900",

year = "2017",

month = nov,

doi = "10.5220/0006507801890196",

language = "English",

volume = "3",

pages = "189--196",

booktitle = "Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS",

}

Toivonen, V, Järvenpää, E & Lanz, M 2017, Managing Production Complexity with Intelligent Work Orders. julkaisussa Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS. Vuosikerta 3, Funchal, Madeira, Portugal, Sivut 189-196, International Conference on Knowledge Management and Information Sharing, 1/01/00. https://doi.org/10.5220/0006507801890196

Managing Production Complexity with Intelligent Work Orders. / Toivonen, Ville; Järvenpää, Eeva; Lanz, Minna.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS. Vuosikerta 3 Funchal, Madeira, Portugal, 2017. s. 189-196.

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Managing Production Complexity with Intelligent Work Orders

AU - Toivonen, Ville

AU - Järvenpää, Eeva

AU - Lanz, Minna

N1 - JUFOID=73527

PY - 2017/11

Y1 - 2017/11

N2 - 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.

AB - 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.

KW - Intelligent Work Order, Decentralised Production Systems, Process Configuration, Information Management

U2 - 10.5220/0006507801890196

DO - 10.5220/0006507801890196

M3 - Conference contribution

VL - 3

SP - 189

EP - 196

BT - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS

CY - Funchal, Madeira, Portugal

T2 - International Conference on Knowledge Management and Information Sharing

Y2 - 1 January 1900

ER -

Managing Production Complexity with Intelligent Work Orders

Abstrakti

Conference

Julkaisufoorumi-taso

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä