Engineering Change Management Data Analysis from the Perspective of Information Quality

Lauri Tapio Jokinen (Corresponding Author), Ville Veli Vainio, Antti Juhani Pulkkinen

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    An efficient change management process is vital to companies in order to continuously improve their products. The processing times for Engineering Change Requests (ECR) vary from hours to years. The long processing times lead to unnecessary delays to requested fixes and improvements. This paper is based on analysis of Engineering Change Objects and semi-structured interviews in a case company, where the number of ECRs has been increasing significantly. The goal of the research was to find out reasons for varying ECR processing times. However, analyzing the data afterwards is difficult because part of the modification history disappears during the process.

    Original languageEnglish
    Pages (from-to)1626-1633
    Number of pages8
    JournalProcedia Manufacturing
    Volume11
    Early online date2017
    DOIs
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed
    Event27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017: Intelligent Manufacturing and Engineering Methods for Industry 4.0 - Modena, Italy
    Duration: 27 Jun 201730 Jun 2017

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    Industry

    Keywords

    • Collaboration
    • Engineering Change Management
    • Information Quality
    • Product Development
    • Product Lifecycle Management

    Cite this

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    Engineering Change Management Data Analysis from the Perspective of Information Quality. / Jokinen, Lauri Tapio (Corresponding Author); Vainio, Ville Veli; Pulkkinen, Antti Juhani.

    In: Procedia Manufacturing, Vol. 11, 2017, p. 1626-1633.

    Research output: Contribution to journalArticleScientificpeer-review

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    AU - Vainio, Ville Veli

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    KW - Information Quality

    KW - Product Development

    KW - Product Lifecycle Management

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