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Best Practices of Just-in-Time 4.0: Multi Case Study Analysis

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Advanced Manufacturing and Automation X (IWAMA 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 737))

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Abstract

The purpose of this paper is to develop a better understanding of how I4.0 technologies can enhance lean practices for just-in-time manufacturing. The relationship between Lean practices and I4.0 technologies has been researched in the last years, but it is still not clear how technology can improve or alter lean practices. The results of this paper is based on a literature review. Existing research only provide superficial rankings of the match between lean practices and I4.0 technologies, and do not sufficiently describe how the technology can be applied to create innovative lean practices. Nine types of I4.0 technologies are evaluated: Sensors & Actuators, Cloud computing, Big Data & Data Analytics, Integrative Technologies Assistive Technologies, Decision Support Systems Advanced Algorithm, Additive Manufacturing and Advances Vehicles. Technology-based enhancements of lean practices within three important sub-categories of just-in-time (Continuous flow, Pull and SMED) are suggested.

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Author information

Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, S P Andersens V 3, 7031, Trondheim, Norway

    Mirco Peron, Erlend Alfnes & Fabio Sgarbossa

Authors
  1. Mirco Peron
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  2. Erlend Alfnes
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  3. Fabio Sgarbossa
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Corresponding author

Correspondence to Mirco Peron .

Editor information

Editors and Affiliations

  1. School of Business, Plymouth University, Plymouth, UK

    Yi Wang

  2. Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, Gjøvik, Norway

    Kristian Martinsen

  3. Shanghai Second Polytechnic University, Shanghai, Shanghai, China

    Tao Yu

  4. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway

    Kesheng Wang

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Peron, M., Alfnes, E., Sgarbossa, F. (2021). Best Practices of Just-in-Time 4.0: Multi Case Study Analysis. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation X. IWAMA 2020. Lecture Notes in Electrical Engineering, vol 737. Springer, Singapore. https://doi.org/10.1007/978-981-33-6318-2_79

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