Managing Production Complexity with Intelligent Work Orders

Ville Toivonen, Eeva Järvenpää, Minna Lanz

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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 languageEnglish
    Title of host publicationProceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
    Place of PublicationFunchal, Madeira, Portugal
    Pages189-196
    Number of pages8
    Volume3
    ISBN (Electronic)978-989-758-273-8
    DOIs
    Publication statusPublished - Nov 2017
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Knowledge Management and Information Sharing -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceInternational Conference on Knowledge Management and Information Sharing
    Period1/01/00 → …

    Keywords

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

    Publication forum classification

    • Publication forum level 1

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