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Real Value of Data in Managing Manufacturing Assets

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

    Abstract

    Manufacturing networks contain vast amounts of data over the whole life cycle of assets. There is much talk of data based services and business models but limited number of success stories from the industry. Valuation of data is identified as a major obstacle for successful service business. Actors operating in the value network may have different perspectives about the value of data and do not necessarily see the opportunities that the data offers to other actors in the network. Often the concept of data value may be limited to a single dimension such as quality or security. This paper aims at providing a more holistic perspective on the value of data in manufacturing asset management. The paper presents dimensions of data value based on a literature review. Additionally, future research needs regarding value of data in managing manufacturing assets are identified.
    Original languageEnglish
    Title of host publication14th WCEAM Proceedings
    EditorsAdolfo Crespo Márquez, Dragan Komljenovic, Joe Amadi-Echendu
    Place of PublicationCham
    PublisherSpringer
    Pages164-174
    ISBN (Electronic)978-3-030-64228-0
    ISBN (Print)978-3-030-64227-3
    DOIs
    Publication statusPublished - 2021
    MoE publication typeA4 Article in a conference publication
    Event14th World Congress on Engineering Asset Management, WCEAM 2019 - Singapore, Singapore
    Duration: 28 Jul 2019 → 31 Jul 2019

    Publication series

    SeriesLecture Notes in Mechanical Engineering
    ISSN2195-4356

    Conference

    Conference14th World Congress on Engineering Asset Management, WCEAM 2019
    Country/TerritorySingapore
    CitySingapore
    Period28/07/19 → 31/07/19

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • Data-driven services
    • Value
    • Asset management
    • Digitalization

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