Managing Production Complexity with Intelligent Work Orders
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Yksityiskohdat
| 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 | |
| Tila | Julkaistu - marraskuuta 2017 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | International Conference on Knowledge Management and Information Sharing - Kesto: 1 tammikuuta 1900 → … |
Conference
| Conference | International Conference on Knowledge Management and Information Sharing |
|---|---|
| Ajanjakso | 1/01/00 → … |
Tiivistelmä
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.