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Lean and Industry 4.0 mitigating common losses in Engineer-to-Order theory and practice: an exploratory study

Author

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  • Felix Schulze

    (Free University of Bozen-Bolzano)

  • Patrick Dallasega

    (Free University of Bozen-Bolzano)

Abstract

Companies employing an Engineer-to-Order (ETO) manufacturing strategy often develop, design and produce complex goods in single or small batches based on an individual customer order. The increased complexity caused by project business multiplies the engineering, cost, and change management efforts that are often required, resulting in lost productivity and more non-value-adding activities. To improve efficiency and reduce losses, ETO organizations strive to implement Lean practices and Industry 4.0 (I4.0) technologies, but the relevant literature in ETO industrial context is more exploratory and contains less empirical data. Building on the preliminary work categorizing the common losses in ETO organizations, the study examined how these can be reduced by Lean and I4.0 practices. Current literature was analyzed, and empirical data was collected using a survey questionnaire and semi-structured interviews with 16 companies from the construction, shipbuilding, and machinery and plant manufacturing industries. The scientific literature was compared with the empirical data to find out whether Lean methods and I4.0 technologies are known in research but not applied in practice and vice versa. As a result, there are several practices from both domains applied in practice to reduce losses, but the analyzed literature indicates few successful implementations. Future research should aim to provide more empirical data on the application of Lean and I4.0 practices to mitigate losses in companies with an ETO strategy and provide best practices and guidelines.

Suggested Citation

  • Felix Schulze & Patrick Dallasega, 2024. "Lean and Industry 4.0 mitigating common losses in Engineer-to-Order theory and practice: an exploratory study," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 780-820, September.
  • Handle: RePEc:spr:flsman:v:36:y:2024:i:3:d:10.1007_s10696-023-09503-z
    DOI: 10.1007/s10696-023-09503-z
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    References listed on IDEAS

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    1. Gosling, Jonathan & Naim, Mohamed M., 2009. "Engineer-to-order supply chain management: A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 122(2), pages 741-754, December.
    2. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    3. Marcello Braglia & Marco Frosolini & Mosè Gallo & Leonardo Marrazzini, 2019. "Lean manufacturing tool in engineer-to-order environment: Project cost deployment," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1825-1839, March.
    4. Aghaei Chadegani, Arezoo & Salehi, Hadi & Md Yunus, Melor & Farhadi, Hadi & Fooladi, Masood & Farhadi, Maryam & Ale Ebrahim, Nader, 2013. "A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases," MPRA Paper 46898, University Library of Munich, Germany, revised 18 Mar 2013.
    5. Maria Pia Ciano & Patrick Dallasega & Guido Orzes & Tommaso Rossi, 2021. "One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1386-1410, March.
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