Managing Production Complexity with Intelligent Work Orders

Ville Toivonen, Eeva Järvenpää, Minna Lanz

2017

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.

Paper Citation

in Harvard Style

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 - Volume 3: KMIS, ISBN 978-989-758-273-8, pages 189-196. DOI: 10.5220/0006507801890196

in Bibtex Style

@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 - Volume 3: KMIS,},
year={2017},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006507801890196},
isbn={978-989-758-273-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - Managing Production Complexity with Intelligent Work Orders
SN - 978-989-758-273-8
AU - Toivonen V.
AU - Järvenpää E.
AU - Lanz M.
PY - 2017
SP - 189
EP - 196
DO - 10.5220/0006507801890196