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Towards a lean automation interface for workstations

Author

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  • Dennis Kolberg
  • Joshua Knobloch
  • Detlef Zühlke

Abstract

Methods and principles of Lean Production have become the major concepts to create highly efficient processes since the early 1990s. Due to its high effectiveness by reducing complexity and focusing on value-adding tasks, the Lean concept is still successful. Nevertheless, its changeability to produce highly customised products is limited. Industry 4.0 describes the vision of a smart production which can meet these future market requirements. Enablers are innovative information and communication technologies and the integration of all production entities into a common digital network. Lean Automation is the application of Industry 4.0 technologies to Lean Production methods in order to combine benefits from both domains. First proprietary Lean Automation solutions exist, but to enhance changeability in production, a common, unified communication interface is required. This paper presents the ongoing work towards an interface for digitising Lean Production methods using Cyber Physical Systems.

Suggested Citation

  • Dennis Kolberg & Joshua Knobloch & Detlef Zühlke, 2017. "Towards a lean automation interface for workstations," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2845-2856, May.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:10:p:2845-2856
    DOI: 10.1080/00207543.2016.1223384
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    Cited by:

    1. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Filho, Moacir Godinho & Samson, Daniel & Kumar, Maneesh, 2021. "Bundles of Lean Automation practices and principles and their impact on operational performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    2. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    3. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    4. Bueno, Adauto & Goyannes Gusmão Caiado, Rodrigo & Guedes de Oliveira, Thaís Lopes & Scavarda, Luiz Felipe & Filho, Moacir Godinho & Tortorella, Guilherme Luz, 2023. "Lean 4.0 implementation framework: Proposition using a multi-method research approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    5. Bokhorst, Jos A.C. & Knol, Wilfred & Slomp, Jannes & Bortolotti, Thomas, 2022. "Assessing to what extent smart manufacturing builds on lean principles," International Journal of Production Economics, Elsevier, vol. 253(C).
    6. Amir Mehdiabadi & Mariyeh Tabatabeinasab & Cristi Spulbar & Amir Karbassi Yazdi & Ramona Birau, 2020. "Are We Ready for the Challenge of Banks 4.0? Designing a Roadmap for Banking Systems in Industry 4.0," IJFS, MDPI, vol. 8(2), pages 1-29, May.
    7. Müller, Julian Marius & Buliga, Oana & Voigt, Kai-Ingo, 2018. "Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 2-17.
    8. Wang, Jian & Wu, Huiqin & Chen, Yan, 2020. "Made in China 2025 and manufacturing strategy decisions with reverse QFD," International Journal of Production Economics, Elsevier, vol. 224(C).

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