Persistent Business Transformation with Product Knowledge and Lifecycle Management

Jouni Lehtinen, Kari Hentunen, Kimmo Leikko, Janne Kousa, Mika Reinilä, Leo Torvikoski, Markus Mäkelä, Jorma Papinniemi (Editor), Antti Juhani Pulkkinen (Editor), Jussi Liikanen, Simo-Pekka Leino (Editor)

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

    Abstract

    The goal of the project can be summarized as a generic ProMagNet mod-el, which adapts PLM for the typical context of the Finnish Manufacturing Industry. The ProMaGNet model manifested as Product Lifecycle Management (PLM) capabilities that support the transformation of compa-nies. The transformation means the renewal of business operations from the consecutive engineered-to-order (ETO) projects to configure-to-order (CTO) manufacturing approach with a supporting set of well-defined, captured and re-used product knowledge, information and data (Pulkkinen 2007). The case companies were either taking the first steps towards systemic customization or were more advanced companies regarding the matter. The first ones defined and implemented the most essential capabilities and the latter ones enhanced the creation, capturing, management and use of product definition throughout the product lifecycle. The project focused on the capabilities of capturing the product-related knowledge, information and data in a single source, where these assets can be re-used throughout the product lifecycle (see Figure 2).
    It can be summarized that previously many companies have been involved with development projects that aim for demonstrations and prototypes of a modular product family definition. However, without strategic investment in the organization capabilities as well as systematic processes and tools, the demonstrations do not ensure the transformation. This was the situation in some of the case companies that rolled out the first PLM system implementations during the project. Also, the breadth of the market offering may be very limited with a demonstration or proof-of-concept project. The ProMaGNet project consisted of industrial cases on PLM implementation, product design systemization, integrating 3D product models into review practices and product configuration, the analysis and capturing of product portfolio as configuration knowledge in sales and engineering configuration systems, etc. The experiences and capabilities developed in joint industrial case-projects and research tasks are collected in the themes of PLM capabilities.
    Original languageEnglish
    Title of host publicationMANU
    Subtitle of host publicationFuture Digital Manufacturing Technologies and Systems 2012-2017
    Chapter3
    Pages42-67
    Number of pages25
    Volume10
    Edition2016
    ISBN (Electronic)978-952-238-177-4
    Publication statusPublished - 1 Nov 2016
    MoE publication typeNot Eligible

    Publication series

    SeriesDIMECC Publications Series
    Number10

    Fingerprint

    Knowledge management
    Product knowledge
    Product lifecycle management
    Business transformation
    Product lifecycle
    Life cycle management
    Management capability
    Prototype
    Customization
    Renewal
    Development projects
    Strategic investment
    Manufacturing industries
    Management system
    Product configuration
    Product design
    Manufacturing
    Assets
    Product family
    System implementation

    Cite this

    Lehtinen, J., Hentunen, K., Leikko, K., Kousa, J., Reinilä, M., Torvikoski, L., ... Leino, S-P. (Ed.) (2016). Persistent Business Transformation with Product Knowledge and Lifecycle Management. In MANU: Future Digital Manufacturing Technologies and Systems 2012-2017 (2016 ed., Vol. 10, pp. 42-67). DIMECC Publications Series, No. 10
    Lehtinen, Jouni ; Hentunen, Kari ; Leikko, Kimmo ; Kousa, Janne ; Reinilä, Mika ; Torvikoski, Leo ; Mäkelä, Markus ; Papinniemi, Jorma (Editor) ; Pulkkinen, Antti Juhani (Editor) ; Liikanen, Jussi ; Leino, Simo-Pekka (Editor). / Persistent Business Transformation with Product Knowledge and Lifecycle Management. MANU: Future Digital Manufacturing Technologies and Systems 2012-2017. Vol. 10 2016. ed. 2016. pp. 42-67 (DIMECC Publications Series; No. 10).
    @inbook{1944003d74da4575b70715c980a2d2d5,
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    abstract = "The goal of the project can be summarized as a generic ProMagNet mod-el, which adapts PLM for the typical context of the Finnish Manufacturing Industry. The ProMaGNet model manifested as Product Lifecycle Management (PLM) capabilities that support the transformation of compa-nies. The transformation means the renewal of business operations from the consecutive engineered-to-order (ETO) projects to configure-to-order (CTO) manufacturing approach with a supporting set of well-defined, captured and re-used product knowledge, information and data (Pulkkinen 2007). The case companies were either taking the first steps towards systemic customization or were more advanced companies regarding the matter. The first ones defined and implemented the most essential capabilities and the latter ones enhanced the creation, capturing, management and use of product definition throughout the product lifecycle. The project focused on the capabilities of capturing the product-related knowledge, information and data in a single source, where these assets can be re-used throughout the product lifecycle (see Figure 2).It can be summarized that previously many companies have been involved with development projects that aim for demonstrations and prototypes of a modular product family definition. However, without strategic investment in the organization capabilities as well as systematic processes and tools, the demonstrations do not ensure the transformation. This was the situation in some of the case companies that rolled out the first PLM system implementations during the project. Also, the breadth of the market offering may be very limited with a demonstration or proof-of-concept project. The ProMaGNet project consisted of industrial cases on PLM implementation, product design systemization, integrating 3D product models into review practices and product configuration, the analysis and capturing of product portfolio as configuration knowledge in sales and engineering configuration systems, etc. The experiences and capabilities developed in joint industrial case-projects and research tasks are collected in the themes of PLM capabilities.",
    author = "Jouni Lehtinen and Kari Hentunen and Kimmo Leikko and Janne Kousa and Mika Reinil{\"a} and Leo Torvikoski and Markus M{\"a}kel{\"a} and Jorma Papinniemi and Pulkkinen, {Antti Juhani} and Jussi Liikanen and Simo-Pekka Leino",
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    Lehtinen, J, Hentunen, K, Leikko, K, Kousa, J, Reinilä, M, Torvikoski, L, Mäkelä, M, Papinniemi, J (ed.), Pulkkinen, AJ (ed.), Liikanen, J & Leino, S-P (ed.) 2016, Persistent Business Transformation with Product Knowledge and Lifecycle Management. in MANU: Future Digital Manufacturing Technologies and Systems 2012-2017. 2016 edn, vol. 10, DIMECC Publications Series, no. 10, pp. 42-67.

    Persistent Business Transformation with Product Knowledge and Lifecycle Management. / Lehtinen, Jouni; Hentunen, Kari; Leikko, Kimmo; Kousa, Janne; Reinilä, Mika; Torvikoski, Leo; Mäkelä, Markus; Papinniemi, Jorma (Editor); Pulkkinen, Antti Juhani (Editor); Liikanen, Jussi; Leino, Simo-Pekka (Editor).

    MANU: Future Digital Manufacturing Technologies and Systems 2012-2017. Vol. 10 2016. ed. 2016. p. 42-67 (DIMECC Publications Series; No. 10).

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

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    AU - Lehtinen, Jouni

    AU - Hentunen, Kari

    AU - Leikko, Kimmo

    AU - Kousa, Janne

    AU - Reinilä, Mika

    AU - Torvikoski, Leo

    AU - Mäkelä, Markus

    AU - Liikanen, Jussi

    A2 - Papinniemi, Jorma

    A2 - Pulkkinen, Antti Juhani

    A2 - Leino, Simo-Pekka

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    Lehtinen J, Hentunen K, Leikko K, Kousa J, Reinilä M, Torvikoski L et al. Persistent Business Transformation with Product Knowledge and Lifecycle Management. In MANU: Future Digital Manufacturing Technologies and Systems 2012-2017. 2016 ed. Vol. 10. 2016. p. 42-67. (DIMECC Publications Series; No. 10).