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Introduction to Lean and Just-in-Time Manufacturing

In: Just in Time Factory

Author

Listed:
  • José Luís Quesado Pinto

    (LATAM Airlines)

  • João Carlos O. Matias

    (University of Aveiro)

  • Carina Pimentel

    (University of Aveiro)

  • Susana Garrido Azevedo

    (University of Beira Interior)

  • Kannan Govindan

    (University of Southern Denmark)

Abstract

Lean manufacturing is widely used by industries mainly to mitigate and eliminate all kinds of waste and to improve productivity as a way of enhancing the competitiveness of organizations. A positive correlation between lean implementation and business performance has been highlighted in numerous researches. With regard to just-in-time (JIT) production, it is considered to be a production system for making and delivering what is needed, just when it is needed and just in the amount needed. This chapter aims to clarify the differences between Lean and JIT and be an introduction to the content of the book.

Suggested Citation

  • José Luís Quesado Pinto & João Carlos O. Matias & Carina Pimentel & Susana Garrido Azevedo & Kannan Govindan, 2018. "Introduction to Lean and Just-in-Time Manufacturing," Management for Professionals, in: Just in Time Factory, chapter 1, pages 1-4, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-319-77016-1_1
    DOI: 10.1007/978-3-319-77016-1_1
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    Cited by:

    1. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Bingtao Quan & Sujian Li & Kuo-Jui Wu, 2022. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    3. Zhang, Yao & Zhang, Yuxin & Gong, Chao & Dinçer, Hasan & Yüksel, Serhat, 2022. "An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects," Energy, Elsevier, vol. 248(C).

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