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

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
Place of Publication	Funchal, Madeira, Portugal
Pages	189-196
Number of pages	8
Volume	3
ISBN (Electronic)	978-989-758-273-8
DOIs	https://doi.org/10.5220/0006507801890196
Publication status	Published - Nov 2017
Publication type	A4 Article in conference proceedings
Event	International Conference on Knowledge Management and Information Sharing - Duration: 1 Jan 1900 → …

Conference

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

Keywords

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

Publication forum classification

Publication forum level 1

Access to Document

10.5220/0006507801890196

Cite this

@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. in Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS. vol. 3, Funchal, Madeira, Portugal, pp. 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. Vol. 3 Funchal, Madeira, Portugal, 2017. p. 189-196.

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

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

Abstract

Conference

Keywords

Publication forum classification

Access to Document

Fingerprint

Cite this